Index (VirtualDataSet API)

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A

ABOVE_SIDE - org.apache.commons.math4.analysis.solvers.AllowedSolution: Only solutions for which values are greater than or equal to zero are acceptable as solutions for root-finding.
abs() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: absolute value.
abs() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: absolute value.
abs() - Method in class org.apache.commons.math4.fraction.BigFraction: Returns the absolute value of this BigFraction.
abs() - Method in class org.apache.commons.math4.fraction.Fraction: Returns the absolute value of this fraction.
abs() - Method in interface org.apache.commons.math4.RealFieldElement: absolute value.
abs() - Method in class org.apache.commons.math4.util.Decimal64: absolute value.
abs() - Method in class org.apache.commons.numbers.complex.Complex: Return the absolute value of this complex number.
abs() - Method in class org.apache.commons.numbers.fraction.BigFraction: Returns the absolute value of this BigFraction.
abs() - Method in class org.apache.commons.numbers.fraction.Fraction: Returns the absolute value of this fraction.
abs(double) - Static method in class org.apache.commons.math4.util.FastMath: Absolute value.
abs(float) - Static method in class org.apache.commons.math4.util.FastMath: Absolute value.
abs(int) - Static method in class org.apache.commons.math4.util.FastMath: Absolute value.
abs(long) - Static method in class org.apache.commons.math4.util.FastMath: Absolute value.
abs(Complex[]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Returns double[] containing absolute values (magnitudes) of a Complex[] array.
Abs - Class in org.apache.commons.math4.analysis.function: Absolute value function.
Abs() - Constructor for class org.apache.commons.math4.analysis.function.Abs
AbstractFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math4.linear: Basic implementation of FieldMatrix methods regardless of the underlying storage.
AbstractFieldMatrix() - Constructor for class org.apache.commons.math4.linear.AbstractFieldMatrix: Constructor for use with Serializable
AbstractFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math4.linear.AbstractFieldMatrix: Creates a matrix with no data
AbstractFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math4.linear.AbstractFieldMatrix: Create a new FieldMatrix<T> with the supplied row and column dimensions.
AbstractFormat - Class in org.apache.commons.numbers.fraction: Common part shared by both FractionFormat and BigFractionFormat.
AbstractFormat() - Constructor for class org.apache.commons.numbers.fraction.AbstractFormat: Create an improper formatting instance with the default number format for the numerator and denominator.
AbstractFormat(NumberFormat) - Constructor for class org.apache.commons.numbers.fraction.AbstractFormat: Create an improper formatting instance with a custom number format for both the numerator and denominator.
AbstractFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.numbers.fraction.AbstractFormat: Create an improper formatting instance with a custom number format for the numerator and a custom number format for the denominator.
AbstractIntegerDistribution - Class in org.apache.commons.math4.distribution: Base class for integer-valued discrete distributions.
AbstractIntegerDistribution() - Constructor for class org.apache.commons.math4.distribution.AbstractIntegerDistribution
AbstractMultipleLinearRegression - Class in org.apache.commons.math4.stat.regression: Abstract base class for implementations of MultipleLinearRegression.
AbstractMultipleLinearRegression() - Constructor for class org.apache.commons.math4.stat.regression.AbstractMultipleLinearRegression
AbstractMultivariateRealDistribution - Class in org.apache.commons.math4.distribution: Base class for multivariate probability distributions.
AbstractMultivariateRealDistribution(int) - Constructor for class org.apache.commons.math4.distribution.AbstractMultivariateRealDistribution
AbstractPolynomialSolver - Class in org.apache.commons.math4.analysis.solvers: Base class for solvers.
AbstractPolynomialSolver(double) - Constructor for class org.apache.commons.math4.analysis.solvers.AbstractPolynomialSolver: Construct a solver with given absolute accuracy.
AbstractPolynomialSolver(double, double) - Constructor for class org.apache.commons.math4.analysis.solvers.AbstractPolynomialSolver: Construct a solver with given accuracies.
AbstractPolynomialSolver(double, double, double) - Constructor for class org.apache.commons.math4.analysis.solvers.AbstractPolynomialSolver: Construct a solver with given accuracies.
AbstractRealDistribution - Class in org.apache.commons.math4.distribution: Base class for probability distributions on the reals.
AbstractRealDistribution() - Constructor for class org.apache.commons.math4.distribution.AbstractRealDistribution
AbstractRealMatrix - Class in org.apache.commons.math4.linear: Basic implementation of RealMatrix methods regardless of the underlying storage.
AbstractRealMatrix() - Constructor for class org.apache.commons.math4.linear.AbstractRealMatrix: Creates a matrix with no data
AbstractRealMatrix(int, int) - Constructor for class org.apache.commons.math4.linear.AbstractRealMatrix: Create a new RealMatrix with the supplied row and column dimensions.
AbstractStorelessUnivariateStatistic - Class in org.apache.commons.math4.stat.descriptive: Abstract base class for implementations of the StorelessUnivariateStatistic interface.
AbstractStorelessUnivariateStatistic() - Constructor for class org.apache.commons.math4.stat.descriptive.AbstractStorelessUnivariateStatistic
AbstractUnivariateDifferentiableSolver - Class in org.apache.commons.math4.analysis.solvers: Provide a default implementation for several functions useful to generic solvers.
AbstractUnivariateDifferentiableSolver(double) - Constructor for class org.apache.commons.math4.analysis.solvers.AbstractUnivariateDifferentiableSolver: Construct a solver with given absolute accuracy.
AbstractUnivariateDifferentiableSolver(double, double, double) - Constructor for class org.apache.commons.math4.analysis.solvers.AbstractUnivariateDifferentiableSolver: Construct a solver with given accuracies.
AbstractUnivariateSolver - Class in org.apache.commons.math4.analysis.solvers: Base class for solvers.
AbstractUnivariateSolver(double) - Constructor for class org.apache.commons.math4.analysis.solvers.AbstractUnivariateSolver: Construct a solver with given absolute accuracy.
AbstractUnivariateSolver(double, double) - Constructor for class org.apache.commons.math4.analysis.solvers.AbstractUnivariateSolver: Construct a solver with given accuracies.
AbstractUnivariateSolver(double, double, double) - Constructor for class org.apache.commons.math4.analysis.solvers.AbstractUnivariateSolver: Construct a solver with given accuracies.
AbstractUnivariateStatistic - Class in org.apache.commons.math4.stat.descriptive: Abstract base class for implementations of the UnivariateStatistic interface.
AbstractUnivariateStatistic() - Constructor for class org.apache.commons.math4.stat.descriptive.AbstractUnivariateStatistic
AbstractWell - Class in org.apache.commons.rng.core.source32: This abstract class implements the WELL class of pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
AbstractWell(int, int[]) - Constructor for class org.apache.commons.rng.core.source32.AbstractWell: Creates an instance with the given seed.
AbstractWell.IndexTable - Class in org.apache.commons.rng.core.source32: Inner class used to store the indirection index table which is fixed for a given type of WELL class of pseudo-random number generator.
acos() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Arc cosine operation.
acos() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Arc cosine operation.
acos() - Method in interface org.apache.commons.math4.RealFieldElement: Arc cosine operation.
acos() - Method in class org.apache.commons.math4.util.Decimal64: Arc cosine operation.
acos() - Method in class org.apache.commons.numbers.complex.Complex: Compute the inverse cosine of this complex number.
acos(double) - Static method in class org.apache.commons.math4.util.FastMath: Compute the arc cosine of a number.
acos(double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Compute arc cosine of a derivative structure.
Acos - Class in org.apache.commons.math4.analysis.function: Arc-cosine function.
Acos() - Constructor for class org.apache.commons.math4.analysis.function.Acos
acosh() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Inverse hyperbolic cosine operation.
acosh() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Inverse hyperbolic cosine operation.
acosh() - Method in interface org.apache.commons.math4.RealFieldElement: Inverse hyperbolic cosine operation.
acosh() - Method in class org.apache.commons.math4.util.Decimal64: Inverse hyperbolic cosine operation.
acosh() - Method in class org.apache.commons.numbers.complex.Complex: Compute the inverse hyperbolic cosine of this complex number.
acosh(double) - Static method in class org.apache.commons.math4.util.FastMath: Compute the inverse hyperbolic cosine of a number.
acosh(double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Compute inverse hyperbolic cosine of a derivative structure.
Acosh - Class in org.apache.commons.math4.analysis.function: Hyperbolic arc-cosine function.
Acosh() - Constructor for class org.apache.commons.math4.analysis.function.Acosh
add(double) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: '+' operator.
add(double) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: '+' operator.
add(double) - Method in interface org.apache.commons.math4.RealFieldElement: '+' operator.
add(double) - Method in class org.apache.commons.math4.util.Decimal64: '+' operator.
add(double) - Method in class org.apache.commons.numbers.complex.Complex: Returns a Complex whose value is (this + addend), with addend interpreted as a real number.
add(double[], boolean) - Method in class org.apache.commons.math4.analysis.interpolation.InterpolatingMicrosphere: Replace i-th facet of the microsphere.
add(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Perform addition of two derivative structures.
add(int) - Method in class org.apache.commons.math4.fraction.BigFraction: Adds the value of this fraction to the passed integer, returning the result in reduced form.
add(int) - Method in class org.apache.commons.math4.fraction.Fraction: Add an integer to the fraction.
add(int) - Method in class org.apache.commons.numbers.fraction.BigFraction: Adds the value of this fraction to the passed integer, returning the result in reduced form.
add(int) - Method in class org.apache.commons.numbers.fraction.Fraction: Add an integer to the fraction.
add(long) - Method in class org.apache.commons.math4.fraction.BigFraction: Adds the value of this fraction to the passed long, returning the result in reduced form.
add(long) - Method in class org.apache.commons.numbers.fraction.BigFraction: Adds the value of this fraction to the passed long, returning the result in reduced form.
add(BigInteger) - Method in class org.apache.commons.math4.fraction.BigFraction: Adds the value of this fraction to the passed BigInteger, returning the result in reduced form.
add(BigInteger) - Method in class org.apache.commons.numbers.fraction.BigFraction: Adds the value of this fraction to the passed BigInteger, returning the result in reduced form.
add(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Compute this + a.
add(SparseGradient) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Compute this + a.
add(UnivariateDifferentiableFunction...) - Static method in class org.apache.commons.math4.analysis.FunctionUtils: Adds functions.
add(PolynomialFunction) - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunction: Add a polynomial to the instance.
add(UnivariateFunction...) - Static method in class org.apache.commons.math4.analysis.FunctionUtils: Adds functions.
add(BigFraction) - Method in class org.apache.commons.math4.fraction.BigFraction: Adds the value of this fraction to another, returning the result in reduced form.
add(Fraction) - Method in class org.apache.commons.math4.fraction.Fraction: Adds the value of this fraction to another, returning the result in reduced form.
add(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math4.linear.Array2DRowFieldMatrix: Add m to this matrix.
add(Array2DRowRealMatrix) - Method in class org.apache.commons.math4.linear.Array2DRowRealMatrix: Compute the sum of this and m.
add(ArrayFieldVector<T>) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Compute the sum of this and v.
add(BlockFieldMatrix<T>) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Compute the sum of this and m.
add(BlockRealMatrix) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Compute the sum of this matrix and m.
add(DiagonalMatrix) - Method in class org.apache.commons.math4.linear.DiagonalMatrix: Compute the sum of this and m.
add(FieldMatrix<T>) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Compute the sum of this and m.
add(FieldMatrix<T>) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Compute the sum of this and m.
add(FieldMatrix<T>) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Compute the sum of this and m.
add(FieldVector<T>) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Compute the sum of this and v.
add(FieldVector<T>) - Method in interface org.apache.commons.math4.linear.FieldVector: Compute the sum of this and v.
add(FieldVector<T>) - Method in class org.apache.commons.math4.linear.SparseFieldVector: Compute the sum of this and v.
add(OpenMapRealMatrix) - Method in class org.apache.commons.math4.linear.OpenMapRealMatrix: Compute the sum of this matrix and m.
add(OpenMapRealVector) - Method in class org.apache.commons.math4.linear.OpenMapRealVector: Optimized method to add two OpenMapRealVectors.
add(RealMatrix) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Returns the sum of this and m.
add(RealMatrix) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Returns the sum of this and m.
add(RealMatrix) - Method in interface org.apache.commons.math4.linear.RealMatrix: Returns the sum of this and m.
add(RealVector) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Compute the sum of this vector and v.
add(RealVector) - Method in class org.apache.commons.math4.linear.OpenMapRealVector: Compute the sum of this vector and v.
add(RealVector) - Method in class org.apache.commons.math4.linear.RealVector: Compute the sum of this vector and v.
add(SparseFieldVector<T>) - Method in class org.apache.commons.math4.linear.SparseFieldVector: Optimized method to add sparse vectors.
add(BigReal) - Method in class org.apache.commons.math4.util.BigReal: Compute this + a.
add(Decimal64) - Method in class org.apache.commons.math4.util.Decimal64: Compute this + a.
add(Complex) - Method in class org.apache.commons.numbers.complex.Complex: Returns a Complex whose value is (this + addend).
add(BigFraction) - Method in class org.apache.commons.numbers.fraction.BigFraction: Adds the value of this fraction to another, returning the result in reduced form.
add(Fraction) - Method in class org.apache.commons.numbers.fraction.Fraction: Adds the value of this fraction to another, returning the result in reduced form.
add(T) - Method in interface org.apache.commons.math4.FieldElement: Compute this + a.
add(T) - Method in interface org.apache.commons.numbers.core.Addition: Binary addition.
Add - Class in org.apache.commons.math4.analysis.function: Add the two operands.
Add() - Constructor for class org.apache.commons.math4.analysis.function.Add
addAndCheck(int, int) - Static method in class org.apache.commons.numbers.core.ArithmeticUtils: Add two integers, checking for overflow.
addAndCheck(long, long) - Static method in class org.apache.commons.numbers.core.ArithmeticUtils: Add two long integers, checking for overflow.
addData(double[][]) - Method in class org.apache.commons.math4.stat.regression.SimpleRegression: Adds the observations represented by the elements in data.
addData(double, double) - Method in class org.apache.commons.math4.stat.regression.SimpleRegression: Adds the observation (x,y) to the regression data set.
addElement(double) - Method in interface org.apache.commons.math4.util.DoubleArray: Adds an element to the end of this expandable array
addElement(double) - Method in class org.apache.commons.math4.util.ResizableDoubleArray: Adds an element to the end of this expandable array.
addElementRolling(double) - Method in interface org.apache.commons.math4.util.DoubleArray: Adds an element to the end of the array and removes the first element in the array.
addElementRolling(double) - Method in class org.apache.commons.math4.util.ResizableDoubleArray: Adds an element to the end of the array and removes the first element in the array.
addElements(double[]) - Method in interface org.apache.commons.math4.util.DoubleArray: Adds elements to the end of this expandable array
addElements(double[]) - Method in class org.apache.commons.math4.util.ResizableDoubleArray: Adds several element to the end of this expandable array.
addExact(int, int) - Static method in class org.apache.commons.math4.util.FastMath: Add two numbers, detecting overflows.
addExact(long, long) - Static method in class org.apache.commons.math4.util.FastMath: Add two numbers, detecting overflows.
addInPlace(SparseGradient) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Add in place.
addIterationListener(IterationListener) - Method in class org.apache.commons.math4.util.IterationManager: Attaches a listener to this manager.
Addition<T> - Interface in org.apache.commons.numbers.core: Addition.
ADDITIVE - org.apache.commons.math4.util.ResizableDoubleArray.ExpansionMode: Additive expansion mode.
addMessage(Localizable, Object...) - Method in class org.apache.commons.math4.exception.util.ExceptionContext: Adds a message.
addObservation(double[], double) - Method in class org.apache.commons.math4.stat.regression.MillerUpdatingRegression: Adds an observation to the regression model.
addObservation(double[], double) - Method in class org.apache.commons.math4.stat.regression.SimpleRegression: Adds one observation to the regression model.
addObservation(double[], double) - Method in interface org.apache.commons.math4.stat.regression.UpdatingMultipleLinearRegression: Adds one observation to the regression model.
addObservations(double[][], double[]) - Method in class org.apache.commons.math4.stat.regression.MillerUpdatingRegression: Adds multiple observations to the model.
addObservations(double[][], double[]) - Method in class org.apache.commons.math4.stat.regression.SimpleRegression: Adds a series of observations to the regression model.
addObservations(double[][], double[]) - Method in interface org.apache.commons.math4.stat.regression.UpdatingMultipleLinearRegression: Adds a series of observations to the regression model.
addRule(Pair<T[], T[]>) - Method in class org.apache.commons.math4.analysis.integration.gauss.BaseRuleFactory: Stores a rule.
addSamplePoint(double, double[]...) - Method in class org.apache.commons.math4.analysis.interpolation.HermiteInterpolator: Add a sample point.
addSamplePoint(T, T[]...) - Method in class org.apache.commons.math4.analysis.interpolation.FieldHermiteInterpolator: Add a sample point.
addToEntry(int, double) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Change an entry at the specified index.
addToEntry(int, double) - Method in class org.apache.commons.math4.linear.RealVector: Change an entry at the specified index.
addToEntry(int, int, double) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Adds (in place) the specified value to the specified entry of this matrix.
addToEntry(int, int, double) - Method in class org.apache.commons.math4.linear.Array2DRowRealMatrix: Adds (in place) the specified value to the specified entry of this matrix.
addToEntry(int, int, double) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Adds (in place) the specified value to the specified entry of this matrix.
addToEntry(int, int, double) - Method in class org.apache.commons.math4.linear.DiagonalMatrix: Adds (in place) the specified value to the specified entry of this matrix.
addToEntry(int, int, double) - Method in class org.apache.commons.math4.linear.OpenMapRealMatrix: Adds (in place) the specified value to the specified entry of this matrix.
addToEntry(int, int, double) - Method in interface org.apache.commons.math4.linear.RealMatrix: Adds (in place) the specified value to the specified entry of this matrix.
addToEntry(int, int, T) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Change an entry in the specified row and column.
addToEntry(int, int, T) - Method in class org.apache.commons.math4.linear.Array2DRowFieldMatrix: Change an entry in the specified row and column.
addToEntry(int, int, T) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Change an entry in the specified row and column.
addToEntry(int, int, T) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Change an entry in the specified row and column.
addToEntry(int, int, T) - Method in class org.apache.commons.math4.linear.SparseFieldMatrix: Change an entry in the specified row and column.
addValue(double) - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Adds the value to the dataset.
addValue(double) - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Add a value to the data
addValue(double) - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedDescriptiveStatistics: Adds the value to the dataset.
addValue(double) - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: Add a value to the data
addValue(double[]) - Method in class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics: Add an n-tuple to the data
addValue(double[]) - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics: Add an n-tuple to the data
addValue(T) - Method in class org.apache.commons.math4.stat.Frequency: Adds 1 to the frequency count for v.
advance() - Method in class org.apache.commons.math4.util.OpenIntToDoubleHashMap.Iterator: Advance iterator one step further.
advance() - Method in class org.apache.commons.math4.util.OpenIntToFieldHashMap.Iterator: Advance iterator one step further.
advance(RealVector.Entry) - Method in class org.apache.commons.math4.linear.RealVector.SparseEntryIterator: Advance an entry up to the next nonzero one.
aggregate(Collection<? extends StatisticalSummary>) - Static method in class org.apache.commons.math4.stat.descriptive.AggregateSummaryStatistics: Computes aggregate summary statistics.
AggregateSummaryStatistics - Class in org.apache.commons.math4.stat.descriptive: An aggregator for SummaryStatistics from several data sets or data set partitions.
AggregateSummaryStatistics() - Constructor for class org.apache.commons.math4.stat.descriptive.AggregateSummaryStatistics: Initializes a new AggregateSummaryStatistics with default statistics implementations.
AggregateSummaryStatistics(SummaryStatistics) - Constructor for class org.apache.commons.math4.stat.descriptive.AggregateSummaryStatistics: Initializes a new AggregateSummaryStatistics with the specified statistics object as a prototype for contributing statistics and for the internal aggregate statistics.
AggregateSummaryStatistics(SummaryStatistics, SummaryStatistics) - Constructor for class org.apache.commons.math4.stat.descriptive.AggregateSummaryStatistics: Initializes a new AggregateSummaryStatistics with the specified statistics object as a prototype for contributing statistics and for the internal aggregate statistics.
AgrestiCoullInterval - Class in org.apache.commons.math4.stat.interval: Implements the Agresti-Coull method for creating a binomial proportion confidence interval.
AgrestiCoullInterval() - Constructor for class org.apache.commons.math4.stat.interval.AgrestiCoullInterval
AhrensDieterExponentialSampler - Class in org.apache.commons.rng.sampling.distribution: Sampling from an exponential distribution.
AhrensDieterExponentialSampler(UniformRandomProvider, double) - Constructor for class org.apache.commons.rng.sampling.distribution.AhrensDieterExponentialSampler
AhrensDieterMarsagliaTsangGammaSampler - Class in org.apache.commons.rng.sampling.distribution: Sampling from the Gamma distribution.
AhrensDieterMarsagliaTsangGammaSampler(UniformRandomProvider, double, double) - Constructor for class org.apache.commons.rng.sampling.distribution.AhrensDieterMarsagliaTsangGammaSampler
AkimaSplineInterpolator - Class in org.apache.commons.math4.analysis.interpolation: Computes a cubic spline interpolation for the data set using the Akima algorithm, as originally formulated by Hiroshi Akima in his 1970 paper "A New Method of Interpolation and Smooth Curve Fitting Based on Local Procedures." J.
AkimaSplineInterpolator() - Constructor for class org.apache.commons.math4.analysis.interpolation.AkimaSplineInterpolator
AllowedSolution - Enum in org.apache.commons.math4.analysis.solvers: The kinds of solutions that a (bracketed univariate real) root-finding algorithm may accept as solutions.
AlternativeHypothesis - Enum in org.apache.commons.math4.stat.inference: Represents an alternative hypothesis for a hypothesis test.
anovaFValue(Collection<double[]>) - Method in class org.apache.commons.math4.stat.inference.OneWayAnova: Computes the ANOVA F-value for a collection of double[] arrays.
anovaPValue(Collection<double[]>) - Method in class org.apache.commons.math4.stat.inference.OneWayAnova: Computes the ANOVA P-value for a collection of double[] arrays.
anovaPValue(Collection<SummaryStatistics>, boolean) - Method in class org.apache.commons.math4.stat.inference.OneWayAnova: Computes the ANOVA P-value for a collection of SummaryStatistics.
anovaTest(Collection<double[]>, double) - Method in class org.apache.commons.math4.stat.inference.OneWayAnova: Performs an ANOVA test, evaluating the null hypothesis that there is no difference among the means of the data categories.
ANY_SIDE - org.apache.commons.math4.analysis.solvers.AllowedSolution: There are no additional side restriction on the solutions for root-finding.
AnyMatrix - Interface in org.apache.commons.math4.linear: Interface defining very basic matrix operations.
append(double) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Construct a new vector by appending a double to this vector.
append(double) - Method in class org.apache.commons.math4.linear.OpenMapRealVector: Construct a new vector by appending a double to this vector.
append(double) - Method in class org.apache.commons.math4.linear.RealVector: Construct a new vector by appending a double to this vector.
append(ArrayFieldVector<T>) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Construct a vector by appending a vector to this vector.
append(ArrayRealVector) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Construct a vector by appending a vector to this vector.
append(FieldVector<T>) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Construct a vector by appending a vector to this vector.
append(FieldVector<T>) - Method in interface org.apache.commons.math4.linear.FieldVector: Construct a vector by appending a vector to this vector.
append(FieldVector<T>) - Method in class org.apache.commons.math4.linear.SparseFieldVector: Construct a vector by appending a vector to this vector.
append(OpenMapRealVector) - Method in class org.apache.commons.math4.linear.OpenMapRealVector: Optimized method to append a OpenMapRealVector.
append(RealVector) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Construct a new vector by appending a vector to this vector.
append(RealVector) - Method in class org.apache.commons.math4.linear.OpenMapRealVector: Construct a new vector by appending a vector to this vector.
append(RealVector) - Method in class org.apache.commons.math4.linear.RealVector: Construct a new vector by appending a vector to this vector.
append(SparseFieldVector<T>) - Method in class org.apache.commons.math4.linear.SparseFieldVector: Construct a vector by appending a vector to this vector.
append(StorelessCovariance) - Method in class org.apache.commons.math4.stat.correlation.StorelessCovariance: Appends sc to this, effectively aggregating the computations in sc with this.
append(SimpleRegression) - Method in class org.apache.commons.math4.stat.regression.SimpleRegression: Appends data from another regression calculation to this one.
append(T) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Construct a vector by appending a T to this vector.
append(T) - Method in interface org.apache.commons.math4.linear.FieldVector: Construct a vector by appending a T to this vector.
append(T) - Method in class org.apache.commons.math4.linear.SparseFieldVector: Construct a vector by appending a T to this vector.
apply(UnivariateStatistic) - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Apply the given statistic to the data associated with this set of statistics.
apply(UnivariateStatistic) - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedDescriptiveStatistics: Apply the given statistic to the data associated with this set of statistics.
applyAsDouble(double) - Method in class io.virtdata.continuous.common.RealDistributionICDSource
applyAsDouble(int) - Method in class io.virtdata.continuous.common.InterpolatingIntDoubleSampler
applyAsDouble(int) - Method in class io.virtdata.continuous.common.RealIntDoubleSampler
applyAsDouble(int) - Method in class io.virtdata.continuous.int_double.IntToDoubleContinuousCurve
applyAsDouble(long) - Method in class io.virtdata.continuous.common.InterpolatingLongDoubleSampler
applyAsDouble(long) - Method in class io.virtdata.continuous.common.RealLongDoubleSampler
applyAsDouble(long) - Method in class io.virtdata.continuous.long_double.LongToDoubleContinuousCurve
applyAsInt(double) - Method in class io.virtdata.discrete.common.IntegerDistributionICDSource
applyAsInt(int) - Method in class io.virtdata.discrete.common.DiscreteIntIntSampler
applyAsInt(int) - Method in class io.virtdata.discrete.common.InterpolatingIntIntSampler
applyAsInt(int) - Method in class io.virtdata.discrete.int_int.IntToIntDiscreteCurve
applyAsInt(long) - Method in class io.virtdata.discrete.common.DiscreteLongIntSampler
applyAsInt(long) - Method in class io.virtdata.discrete.common.InterpolatingLongIntSampler
applyAsInt(long) - Method in class io.virtdata.discrete.long_int.LongToIntDiscreteCurve
applyAsLong(int) - Method in class io.virtdata.discrete.common.DiscreteIntLongSampler
applyAsLong(int) - Method in class io.virtdata.discrete.common.InterpolatingIntLongSampler
applyAsLong(int) - Method in class io.virtdata.discrete.int_long.IntToLongDiscreteCurve
applyAsLong(long) - Method in class io.virtdata.discrete.common.DiscreteLongLongSampler
applyAsLong(long) - Method in class io.virtdata.discrete.common.InterpolatingLongLongSampler
applyAsLong(long) - Method in class io.virtdata.discrete.common.ThreadSafeHash
applyAsLong(long) - Method in class io.virtdata.discrete.long_long.LongToLongDiscreteCurve
approximateP(double, int, int) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
approximateP(double, int, int) - Method in class org.apache.commons.math4.stat.inference.KolmogorovSmirnovTest: Uses the Kolmogorov-Smirnov distribution to approximate \(P(D_{n,m} > d)\) where \(D_{n,m}\) is the 2-sample Kolmogorov-Smirnov statistic.
arg() - Method in class org.apache.commons.numbers.complex.Complex: Compute the argument of this complex number.
arg(Complex[]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Returns double[] containing arguments (phase angles) of a Complex[] array.
ARGUMENT_OUTSIDE_DOMAIN - org.apache.commons.math4.exception.util.LocalizedFormats
ArgUtils - Class in org.apache.commons.math4.exception.util: Utility class for transforming the list of arguments passed to constructors of exceptions.
ARITHMETIC_EXCEPTION - org.apache.commons.math4.exception.util.LocalizedFormats
ArithmeticUtils - Class in org.apache.commons.numbers.core: Some useful, arithmetics related, additions to the built-in functions in Math.
ARRAY_ELEMENT - org.apache.commons.math4.exception.util.LocalizedFormats
ARRAY_SIZE_EXCEEDS_MAX_VARIABLES - org.apache.commons.math4.exception.util.LocalizedFormats
ARRAY_SIZES_SHOULD_HAVE_DIFFERENCE_1 - org.apache.commons.math4.exception.util.LocalizedFormats
ARRAY_SUMS_TO_ZERO - org.apache.commons.math4.exception.util.LocalizedFormats
ARRAY_ZERO_LENGTH_OR_NULL_NOT_ALLOWED - org.apache.commons.math4.exception.util.LocalizedFormats
Array2DRowFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math4.linear: Implementation of FieldMatrix<T> using a FieldElement[][] array to store entries.
Array2DRowFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math4.linear.Array2DRowFieldMatrix: Creates a matrix with no data
Array2DRowFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math4.linear.Array2DRowFieldMatrix: Create a new FieldMatrix<T> with the supplied row and column dimensions.
Array2DRowFieldMatrix(Field<T>, T[]) - Constructor for class org.apache.commons.math4.linear.Array2DRowFieldMatrix: Create a new (column) FieldMatrix<T> using v as the data for the unique column of the created matrix.
Array2DRowFieldMatrix(Field<T>, T[][]) - Constructor for class org.apache.commons.math4.linear.Array2DRowFieldMatrix: Create a new FieldMatrix<T> using the input array as the underlying data array.
Array2DRowFieldMatrix(Field<T>, T[][], boolean) - Constructor for class org.apache.commons.math4.linear.Array2DRowFieldMatrix: Create a new FieldMatrix<T> using the input array as the underlying data array.
Array2DRowFieldMatrix(T[]) - Constructor for class org.apache.commons.math4.linear.Array2DRowFieldMatrix: Create a new (column) FieldMatrix<T> using v as the data for the unique column of the created matrix.
Array2DRowFieldMatrix(T[][]) - Constructor for class org.apache.commons.math4.linear.Array2DRowFieldMatrix: Create a new FieldMatrix<T> using the input array as the underlying data array.
Array2DRowFieldMatrix(T[][], boolean) - Constructor for class org.apache.commons.math4.linear.Array2DRowFieldMatrix: Create a new FieldMatrix<T> using the input array as the underlying data array.
Array2DRowRealMatrix - Class in org.apache.commons.math4.linear: Implementation of RealMatrix using a double[][] array to store entries.
Array2DRowRealMatrix() - Constructor for class org.apache.commons.math4.linear.Array2DRowRealMatrix: Creates a matrix with no data
Array2DRowRealMatrix(double[]) - Constructor for class org.apache.commons.math4.linear.Array2DRowRealMatrix: Create a new (column) RealMatrix using v as the data for the unique column of the created matrix.
Array2DRowRealMatrix(double[][]) - Constructor for class org.apache.commons.math4.linear.Array2DRowRealMatrix: Create a new RealMatrix using the input array as the underlying data array.
Array2DRowRealMatrix(double[][], boolean) - Constructor for class org.apache.commons.math4.linear.Array2DRowRealMatrix: Create a new RealMatrix using the input array as the underlying data array.
Array2DRowRealMatrix(int, int) - Constructor for class org.apache.commons.math4.linear.Array2DRowRealMatrix: Create a new RealMatrix with the supplied row and column dimensions.
ArrayFieldVector<T extends FieldElement<T>> - Class in org.apache.commons.math4.linear: This class implements the FieldVector interface with a FieldElement array.
ArrayFieldVector(int, T) - Constructor for class org.apache.commons.math4.linear.ArrayFieldVector: Construct a vector with preset values.
ArrayFieldVector(Field<T>) - Constructor for class org.apache.commons.math4.linear.ArrayFieldVector: Build a 0-length vector.
ArrayFieldVector(Field<T>, int) - Constructor for class org.apache.commons.math4.linear.ArrayFieldVector: Construct a vector of zeroes.
ArrayFieldVector(Field<T>, T[]) - Constructor for class org.apache.commons.math4.linear.ArrayFieldVector: Construct a vector from an array, copying the input array.
ArrayFieldVector(Field<T>, T[], boolean) - Constructor for class org.apache.commons.math4.linear.ArrayFieldVector: Create a new ArrayFieldVector using the input array as the underlying data array.
ArrayFieldVector(Field<T>, T[], int, int) - Constructor for class org.apache.commons.math4.linear.ArrayFieldVector: Construct a vector from part of a array.
ArrayFieldVector(Field<T>, T[], T[]) - Constructor for class org.apache.commons.math4.linear.ArrayFieldVector: Construct a vector by appending one vector to another vector.
ArrayFieldVector(ArrayFieldVector<T>) - Constructor for class org.apache.commons.math4.linear.ArrayFieldVector: Construct a vector from another vector, using a deep copy.
ArrayFieldVector(ArrayFieldVector<T>, boolean) - Constructor for class org.apache.commons.math4.linear.ArrayFieldVector: Construct a vector from another vector.
ArrayFieldVector(FieldVector<T>) - Constructor for class org.apache.commons.math4.linear.ArrayFieldVector: Construct a vector from another vector, using a deep copy.
ArrayFieldVector(FieldVector<T>, FieldVector<T>) - Constructor for class org.apache.commons.math4.linear.ArrayFieldVector: Construct a vector by appending one vector to another vector.
ArrayFieldVector(FieldVector<T>, T[]) - Constructor for class org.apache.commons.math4.linear.ArrayFieldVector: Construct a vector by appending one vector to another vector.
ArrayFieldVector(T[]) - Constructor for class org.apache.commons.math4.linear.ArrayFieldVector: Construct a vector from an array, copying the input array.
ArrayFieldVector(T[], boolean) - Constructor for class org.apache.commons.math4.linear.ArrayFieldVector: Create a new ArrayFieldVector using the input array as the underlying data array.
ArrayFieldVector(T[], int, int) - Constructor for class org.apache.commons.math4.linear.ArrayFieldVector: Construct a vector from part of a array.
ArrayFieldVector(T[], FieldVector<T>) - Constructor for class org.apache.commons.math4.linear.ArrayFieldVector: Construct a vector by appending one vector to another vector.
ArrayFieldVector(T[], T[]) - Constructor for class org.apache.commons.math4.linear.ArrayFieldVector: Construct a vector by appending one vector to another vector.
ArrayRealVector - Class in org.apache.commons.math4.linear: This class implements the RealVector interface with a double array.
ArrayRealVector() - Constructor for class org.apache.commons.math4.linear.ArrayRealVector: Build a 0-length vector.
ArrayRealVector(double[]) - Constructor for class org.apache.commons.math4.linear.ArrayRealVector: Construct a vector from an array, copying the input array.
ArrayRealVector(double[], boolean) - Constructor for class org.apache.commons.math4.linear.ArrayRealVector: Create a new ArrayRealVector using the input array as the underlying data array.
ArrayRealVector(double[], double[]) - Constructor for class org.apache.commons.math4.linear.ArrayRealVector: Construct a vector by appending one vector to another vector.
ArrayRealVector(double[], int, int) - Constructor for class org.apache.commons.math4.linear.ArrayRealVector: Construct a vector from part of a array.
ArrayRealVector(double[], ArrayRealVector) - Constructor for class org.apache.commons.math4.linear.ArrayRealVector: Construct a vector by appending one vector to another vector.
ArrayRealVector(int) - Constructor for class org.apache.commons.math4.linear.ArrayRealVector: Construct a vector of zeroes.
ArrayRealVector(int, double) - Constructor for class org.apache.commons.math4.linear.ArrayRealVector: Construct a vector with preset values.
ArrayRealVector(Double[]) - Constructor for class org.apache.commons.math4.linear.ArrayRealVector: Construct a vector from an array.
ArrayRealVector(Double[], int, int) - Constructor for class org.apache.commons.math4.linear.ArrayRealVector: Construct a vector from part of an array.
ArrayRealVector(ArrayRealVector) - Constructor for class org.apache.commons.math4.linear.ArrayRealVector: Construct a vector from another vector, using a deep copy.
ArrayRealVector(ArrayRealVector, boolean) - Constructor for class org.apache.commons.math4.linear.ArrayRealVector: Construct a vector from another vector.
ArrayRealVector(ArrayRealVector, double[]) - Constructor for class org.apache.commons.math4.linear.ArrayRealVector: Construct a vector by appending one vector to another vector.
ArrayRealVector(ArrayRealVector, ArrayRealVector) - Constructor for class org.apache.commons.math4.linear.ArrayRealVector: Construct a vector by appending one vector to another vector.
ArrayRealVector(ArrayRealVector, RealVector) - Constructor for class org.apache.commons.math4.linear.ArrayRealVector: Construct a vector by appending one vector to another vector.
ArrayRealVector(RealVector) - Constructor for class org.apache.commons.math4.linear.ArrayRealVector: Construct a vector from another vector, using a deep copy.
ArrayRealVector(RealVector, ArrayRealVector) - Constructor for class org.apache.commons.math4.linear.ArrayRealVector: Construct a vector by appending one vector to another vector.
asin() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Arc sine operation.
asin() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Arc sine operation.
asin() - Method in interface org.apache.commons.math4.RealFieldElement: Arc sine operation.
asin() - Method in class org.apache.commons.math4.util.Decimal64: Arc sine operation.
asin() - Method in class org.apache.commons.numbers.complex.Complex: Compute the inverse sine of this complex number.
asin(double) - Static method in class org.apache.commons.math4.util.FastMath: Compute the arc sine of a number.
asin(double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Compute arc sine of a derivative structure.
Asin - Class in org.apache.commons.math4.analysis.function: Arc-sine function.
Asin() - Constructor for class org.apache.commons.math4.analysis.function.Asin
asinh() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Inverse hyperbolic sine operation.
asinh() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Inverse hyperbolic sine operation.
asinh() - Method in interface org.apache.commons.math4.RealFieldElement: Inverse hyperbolic sine operation.
asinh() - Method in class org.apache.commons.math4.util.Decimal64: Inverse hyperbolic sine operation.
asinh() - Method in class org.apache.commons.numbers.complex.Complex: Compute the inverse hyperbolic sine of this complex number.
asinh(double) - Static method in class org.apache.commons.math4.util.FastMath: Compute the inverse hyperbolic sine of a number.
asinh(double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Compute inverse hyperbolic sine of a derivative structure.
Asinh - Class in org.apache.commons.math4.analysis.function: Hyperbolic arc-sine function.
Asinh() - Constructor for class org.apache.commons.math4.analysis.function.Asinh
ASSYMETRIC_EIGEN_NOT_SUPPORTED - org.apache.commons.math4.exception.util.LocalizedFormats
asUniformRandomProvider(Random) - Static method in class org.apache.commons.math4.random.RandomUtils: Wraps a Random instance.
AT_LEAST_ONE_COLUMN - org.apache.commons.math4.exception.util.LocalizedFormats
AT_LEAST_ONE_ROW - org.apache.commons.math4.exception.util.LocalizedFormats
atan() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Arc tangent operation.
atan() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Arc tangent operation.
atan() - Method in interface org.apache.commons.math4.RealFieldElement: Arc tangent operation.
atan() - Method in class org.apache.commons.math4.util.Decimal64: Arc tangent operation.
atan() - Method in class org.apache.commons.numbers.complex.Complex: Compute the inverse tangent of this complex number.
atan(double) - Static method in class org.apache.commons.math4.util.FastMath: Arctangent function
atan(double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Compute arc tangent of a derivative structure.
Atan - Class in org.apache.commons.math4.analysis.function: Arc-tangent function.
Atan() - Constructor for class org.apache.commons.math4.analysis.function.Atan
atan2(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Compute two arguments arc tangent of a derivative structure.
atan2(double, double) - Static method in class org.apache.commons.math4.util.FastMath: Two arguments arctangent function
atan2(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Two arguments arc tangent operation.
atan2(DerivativeStructure, DerivativeStructure) - Static method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Two arguments arc tangent operation.
atan2(SparseGradient) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Two arguments arc tangent operation.
atan2(SparseGradient, SparseGradient) - Static method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Two arguments arc tangent operation.
atan2(Decimal64) - Method in class org.apache.commons.math4.util.Decimal64: Two arguments arc tangent operation.
atan2(T) - Method in interface org.apache.commons.math4.RealFieldElement: Two arguments arc tangent operation.
Atan2 - Class in org.apache.commons.math4.analysis.function: Arc-tangent function.
Atan2() - Constructor for class org.apache.commons.math4.analysis.function.Atan2
atanh() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Inverse hyperbolic tangent operation.
atanh() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Inverse hyperbolic tangent operation.
atanh() - Method in interface org.apache.commons.math4.RealFieldElement: Inverse hyperbolic tangent operation.
atanh() - Method in class org.apache.commons.math4.util.Decimal64: Inverse hyperbolic tangent operation.
atanh() - Method in class org.apache.commons.numbers.complex.Complex: Compute the inverse hyperbolic tangent of this complex number.
atanh(double) - Static method in class org.apache.commons.math4.util.FastMath: Compute the inverse hyperbolic tangent of a number.
atanh(double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Compute inverse hyperbolic tangent of a derivative structure.
Atanh - Class in org.apache.commons.math4.analysis.function: Hyperbolic arc-tangent function.
Atanh() - Constructor for class org.apache.commons.math4.analysis.function.Atanh
AVERAGE - org.apache.commons.math4.stat.ranking.TiesStrategy: Ties get the average of applicable ranks

B

BANDWIDTH - org.apache.commons.math4.exception.util.LocalizedFormats
BASE - org.apache.commons.math4.exception.util.LocalizedFormats
BaseAbstractUnivariateIntegrator - Class in org.apache.commons.math4.analysis.integration: Provide a default implementation for several generic functions.
BaseAbstractUnivariateIntegrator(double, double) - Constructor for class org.apache.commons.math4.analysis.integration.BaseAbstractUnivariateIntegrator: Construct an integrator with given accuracies.
BaseAbstractUnivariateIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math4.analysis.integration.BaseAbstractUnivariateIntegrator: Construct an integrator with given accuracies and iteration counts.
BaseAbstractUnivariateIntegrator(int, int) - Constructor for class org.apache.commons.math4.analysis.integration.BaseAbstractUnivariateIntegrator: Construct an integrator with given iteration counts.
BaseAbstractUnivariateSolver<FUNC extends UnivariateFunction> - Class in org.apache.commons.math4.analysis.solvers: Provide a default implementation for several functions useful to generic solvers.
BaseAbstractUnivariateSolver(double) - Constructor for class org.apache.commons.math4.analysis.solvers.BaseAbstractUnivariateSolver: Construct a solver with given absolute accuracy.
BaseAbstractUnivariateSolver(double, double) - Constructor for class org.apache.commons.math4.analysis.solvers.BaseAbstractUnivariateSolver: Construct a solver with given accuracies.
BaseAbstractUnivariateSolver(double, double, double) - Constructor for class org.apache.commons.math4.analysis.solvers.BaseAbstractUnivariateSolver: Construct a solver with given accuracies.
BaseProvider - Class in org.apache.commons.rng.core: Base class with default implementation for common methods.
BaseProvider() - Constructor for class org.apache.commons.rng.core.BaseProvider
BaseRuleFactory<T extends java.lang.Number> - Class in org.apache.commons.math4.analysis.integration.gauss: Base class for rules that determines the integration nodes and their weights.
BaseRuleFactory() - Constructor for class org.apache.commons.math4.analysis.integration.gauss.BaseRuleFactory
BaseSecantSolver - Class in org.apache.commons.math4.analysis.solvers: Base class for all bracketing Secant-based methods for root-finding (approximating a zero of a univariate real function).
BaseSecantSolver(double, double, double, BaseSecantSolver.Method) - Constructor for class org.apache.commons.math4.analysis.solvers.BaseSecantSolver: Construct a solver.
BaseSecantSolver(double, double, BaseSecantSolver.Method) - Constructor for class org.apache.commons.math4.analysis.solvers.BaseSecantSolver: Construct a solver.
BaseSecantSolver(double, BaseSecantSolver.Method) - Constructor for class org.apache.commons.math4.analysis.solvers.BaseSecantSolver: Construct a solver.
BaseSecantSolver.Method - Enum in org.apache.commons.math4.analysis.solvers: Secant-based root-finding methods.
BaseUnivariateSolver<FUNC extends UnivariateFunction> - Interface in org.apache.commons.math4.analysis.solvers: Interface for (univariate real) rootfinding algorithms.
BELOW_SIDE - org.apache.commons.math4.analysis.solvers.AllowedSolution: Only solutions for which values are less than or equal to zero are acceptable as solutions for root-finding.
BESSEL_FUNCTION_BAD_ARGUMENT - org.apache.commons.math4.exception.util.LocalizedFormats
BESSEL_FUNCTION_FAILED_CONVERGENCE - org.apache.commons.math4.exception.util.LocalizedFormats
Beta - Class in io.virtdata.continuous.int_double
Beta - Class in io.virtdata.continuous.long_double
Beta(double, double, String...) - Constructor for class io.virtdata.continuous.int_double.Beta
Beta(double, double, String...) - Constructor for class io.virtdata.continuous.long_double.Beta
BetaAutoDocsInfo - Class in io.virtdata.continuous.int_double
BetaAutoDocsInfo - Class in io.virtdata.continuous.long_double
BetaAutoDocsInfo() - Constructor for class io.virtdata.continuous.int_double.BetaAutoDocsInfo
BetaAutoDocsInfo() - Constructor for class io.virtdata.continuous.long_double.BetaAutoDocsInfo
BetaDistribution - Class in org.apache.commons.statistics.distribution: Implementation of the Beta distribution.
BetaDistribution(double, double) - Constructor for class org.apache.commons.statistics.distribution.BetaDistribution: Creates a new instance.
BicubicInterpolatingFunction - Class in org.apache.commons.math4.analysis.interpolation: Function that implements the bicubic spline interpolation.
BicubicInterpolatingFunction(double[], double[], double[][], double[][], double[][], double[][]) - Constructor for class org.apache.commons.math4.analysis.interpolation.BicubicInterpolatingFunction
BicubicInterpolator - Class in org.apache.commons.math4.analysis.interpolation: Generates a bicubic interpolating function.
BicubicInterpolator() - Constructor for class org.apache.commons.math4.analysis.interpolation.BicubicInterpolator
bigDecimalValue() - Method in class org.apache.commons.math4.fraction.BigFraction: Gets the fraction as a BigDecimal.
bigDecimalValue() - Method in class org.apache.commons.math4.util.BigReal: Get the BigDecimal value corresponding to the instance.
bigDecimalValue() - Method in class org.apache.commons.numbers.fraction.BigFraction: Gets the fraction as a BigDecimal.
bigDecimalValue(int) - Method in class org.apache.commons.math4.fraction.BigFraction: Gets the fraction as a BigDecimal following the passed rounding mode.
bigDecimalValue(int, int) - Method in class org.apache.commons.math4.fraction.BigFraction: Gets the fraction as a BigDecimal following the passed scale and rounding mode.
bigDecimalValue(int, RoundingMode) - Method in class org.apache.commons.numbers.fraction.BigFraction: Gets the fraction as a BigDecimal following the passed scale and rounding mode.
bigDecimalValue(RoundingMode) - Method in class org.apache.commons.numbers.fraction.BigFraction: Gets the fraction as a BigDecimal following the passed rounding mode.
BigFraction - Class in org.apache.commons.math4.fraction: Representation of a rational number without any overflow.
BigFraction - Class in org.apache.commons.numbers.fraction: Representation of a rational number without any overflow.
BigFraction(double) - Constructor for class org.apache.commons.math4.fraction.BigFraction: Create a fraction given the double value.
BigFraction(double) - Constructor for class org.apache.commons.numbers.fraction.BigFraction: Create a fraction given the double value.
BigFraction(double, double, int) - Constructor for class org.apache.commons.math4.fraction.BigFraction: Create a fraction given the double value and maximum error allowed.
BigFraction(double, double, int) - Constructor for class org.apache.commons.numbers.fraction.BigFraction: Create a fraction given the double value and maximum error allowed.
BigFraction(double, int) - Constructor for class org.apache.commons.math4.fraction.BigFraction: Create a fraction given the double value and maximum denominator.
BigFraction(double, int) - Constructor for class org.apache.commons.numbers.fraction.BigFraction: Create a fraction given the double value and maximum denominator.
BigFraction(int) - Constructor for class org.apache.commons.math4.fraction.BigFraction: Create a BigFraction equivalent to the passed int, ie "num / 1".
BigFraction(int) - Constructor for class org.apache.commons.numbers.fraction.BigFraction: Create a BigFraction equivalent to the passed int, ie "num / 1".
BigFraction(int, int) - Constructor for class org.apache.commons.math4.fraction.BigFraction: Create a BigFraction given the numerator and denominator as simple int.
BigFraction(int, int) - Constructor for class org.apache.commons.numbers.fraction.BigFraction: Create a BigFraction given the numerator and denominator as simple int.
BigFraction(long) - Constructor for class org.apache.commons.math4.fraction.BigFraction: Create a BigFraction equivalent to the passed long, ie "num / 1".
BigFraction(long) - Constructor for class org.apache.commons.numbers.fraction.BigFraction: Create a BigFraction equivalent to the passed long, ie "num / 1".
BigFraction(long, long) - Constructor for class org.apache.commons.math4.fraction.BigFraction: Create a BigFraction given the numerator and denominator as simple long.
BigFraction(long, long) - Constructor for class org.apache.commons.numbers.fraction.BigFraction: Create a BigFraction given the numerator and denominator as simple long.
BigFraction(BigInteger) - Constructor for class org.apache.commons.math4.fraction.BigFraction: Create a BigFraction equivalent to the passed BigInteger, ie "num / 1".
BigFraction(BigInteger) - Constructor for class org.apache.commons.numbers.fraction.BigFraction: Create a BigFraction equivalent to the passed BigInteger, ie "num / 1".
BigFraction(BigInteger, BigInteger) - Constructor for class org.apache.commons.math4.fraction.BigFraction: Create a BigFraction given the numerator and denominator as BigInteger.
BigFraction(BigInteger, BigInteger) - Constructor for class org.apache.commons.numbers.fraction.BigFraction: Create a BigFraction given the numerator and denominator as BigInteger.
BigFractionField - Class in org.apache.commons.math4.fraction: Representation of the fractional numbers without any overflow field.
BigFractionFormat - Class in org.apache.commons.numbers.fraction: Formats a BigFraction number in proper format or improper format.
BigFractionFormat() - Constructor for class org.apache.commons.numbers.fraction.BigFractionFormat: Create an improper formatting instance with the default number format for the numerator and denominator.
BigFractionFormat(NumberFormat) - Constructor for class org.apache.commons.numbers.fraction.BigFractionFormat: Create an improper formatting instance with a custom number format for both the numerator and denominator.
BigFractionFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.numbers.fraction.BigFractionFormat: Create an improper formatting instance with a custom number format for the numerator and a custom number format for the denominator.
bigFractionMatrixToRealMatrix(FieldMatrix<BigFraction>) - Static method in class org.apache.commons.math4.linear.MatrixUtils: Convert a FieldMatrix/BigFraction matrix to a RealMatrix.
BigReal - Class in org.apache.commons.math4.util: Arbitrary precision decimal number.
BigReal(char[]) - Constructor for class org.apache.commons.math4.util.BigReal: Build an instance from a characters representation.
BigReal(char[], int, int) - Constructor for class org.apache.commons.math4.util.BigReal: Build an instance from a characters representation.
BigReal(char[], int, int, MathContext) - Constructor for class org.apache.commons.math4.util.BigReal: Build an instance from a characters representation.
BigReal(char[], MathContext) - Constructor for class org.apache.commons.math4.util.BigReal: Build an instance from a characters representation.
BigReal(double) - Constructor for class org.apache.commons.math4.util.BigReal: Build an instance from a double.
BigReal(double, MathContext) - Constructor for class org.apache.commons.math4.util.BigReal: Build an instance from a double.
BigReal(int) - Constructor for class org.apache.commons.math4.util.BigReal: Build an instance from an int.
BigReal(int, MathContext) - Constructor for class org.apache.commons.math4.util.BigReal: Build an instance from an int.
BigReal(long) - Constructor for class org.apache.commons.math4.util.BigReal: Build an instance from a long.
BigReal(long, MathContext) - Constructor for class org.apache.commons.math4.util.BigReal: Build an instance from a long.
BigReal(String) - Constructor for class org.apache.commons.math4.util.BigReal: Build an instance from a String representation.
BigReal(String, MathContext) - Constructor for class org.apache.commons.math4.util.BigReal: Build an instance from a String representation.
BigReal(BigDecimal) - Constructor for class org.apache.commons.math4.util.BigReal: Build an instance from a BigDecimal.
BigReal(BigInteger) - Constructor for class org.apache.commons.math4.util.BigReal: Build an instance from a BigInteger.
BigReal(BigInteger, int) - Constructor for class org.apache.commons.math4.util.BigReal: Build an instance from an unscaled BigInteger.
BigReal(BigInteger, int, MathContext) - Constructor for class org.apache.commons.math4.util.BigReal: Build an instance from an unscaled BigInteger.
BigReal(BigInteger, MathContext) - Constructor for class org.apache.commons.math4.util.BigReal: Build an instance from a BigInteger.
BigRealField - Class in org.apache.commons.math4.util: Representation of real numbers with arbitrary precision field.
Binomial - Class in io.virtdata.discrete.int_int
Binomial - Class in io.virtdata.discrete.int_long
Binomial - Class in io.virtdata.discrete.long_int
Binomial - Class in io.virtdata.discrete.long_long
Binomial(int, double, String...) - Constructor for class io.virtdata.discrete.int_int.Binomial
Binomial(int, double, String...) - Constructor for class io.virtdata.discrete.int_long.Binomial
Binomial(int, double, String...) - Constructor for class io.virtdata.discrete.long_int.Binomial
Binomial(int, double, String...) - Constructor for class io.virtdata.discrete.long_long.Binomial
BINOMIAL_INVALID_PARAMETERS_ORDER - org.apache.commons.math4.exception.util.LocalizedFormats
BINOMIAL_NEGATIVE_PARAMETER - org.apache.commons.math4.exception.util.LocalizedFormats
BinomialAutoDocsInfo - Class in io.virtdata.discrete.int_int
BinomialAutoDocsInfo - Class in io.virtdata.discrete.int_long
BinomialAutoDocsInfo - Class in io.virtdata.discrete.long_int
BinomialAutoDocsInfo - Class in io.virtdata.discrete.long_long
BinomialAutoDocsInfo() - Constructor for class io.virtdata.discrete.int_int.BinomialAutoDocsInfo
BinomialAutoDocsInfo() - Constructor for class io.virtdata.discrete.int_long.BinomialAutoDocsInfo
BinomialAutoDocsInfo() - Constructor for class io.virtdata.discrete.long_int.BinomialAutoDocsInfo
BinomialAutoDocsInfo() - Constructor for class io.virtdata.discrete.long_long.BinomialAutoDocsInfo
BinomialCoefficient - Class in org.apache.commons.numbers.combinatorics: Representation of the binomial coefficient.
BinomialCoefficient() - Constructor for class org.apache.commons.numbers.combinatorics.BinomialCoefficient
BinomialCoefficientDouble - Class in org.apache.commons.numbers.combinatorics: Representation of the binomial coefficient, as a double.
BinomialCoefficientDouble() - Constructor for class org.apache.commons.numbers.combinatorics.BinomialCoefficientDouble
BinomialConfidenceInterval - Interface in org.apache.commons.math4.stat.interval: Interface to generate confidence intervals for a binomial proportion.
BinomialDistribution - Class in org.apache.commons.statistics.distribution: Implementation of the binomial distribution.
BinomialDistribution(int, double) - Constructor for class org.apache.commons.statistics.distribution.BinomialDistribution: Creates a binomial distribution.
binomialTest(int, int, double, AlternativeHypothesis) - Method in class org.apache.commons.math4.stat.inference.BinomialTest: Returns the observed significance level, or p-value, associated with a Binomial test.
binomialTest(int, int, double, AlternativeHypothesis, double) - Method in class org.apache.commons.math4.stat.inference.BinomialTest: Returns whether the null hypothesis can be rejected with the given confidence level.
BinomialTest - Class in org.apache.commons.math4.stat.inference: Implements binomial test statistics.
BinomialTest() - Constructor for class org.apache.commons.math4.stat.inference.BinomialTest
BisectionSolver - Class in org.apache.commons.math4.analysis.solvers: Implements the bisection algorithm for finding zeros of univariate real functions.
BisectionSolver() - Constructor for class org.apache.commons.math4.analysis.solvers.BisectionSolver: Construct a solver with default accuracy (1e-6).
BisectionSolver(double) - Constructor for class org.apache.commons.math4.analysis.solvers.BisectionSolver: Construct a solver.
BisectionSolver(double, double) - Constructor for class org.apache.commons.math4.analysis.solvers.BisectionSolver: Construct a solver.
BivariateFunction - Interface in org.apache.commons.math4.analysis: An interface representing a bivariate real function.
BivariateGridInterpolator - Interface in org.apache.commons.math4.analysis.interpolation: Interface representing a bivariate real interpolating function where the sample points must be specified on a regular grid.
BLOCK_SIZE - Static variable in class org.apache.commons.math4.linear.BlockFieldMatrix: Block size.
BLOCK_SIZE - Static variable in class org.apache.commons.math4.linear.BlockRealMatrix: Block size.
BlockFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math4.linear: Cache-friendly implementation of FieldMatrix using a flat arrays to store square blocks of the matrix.
BlockFieldMatrix(int, int, T[][], boolean) - Constructor for class org.apache.commons.math4.linear.BlockFieldMatrix: Create a new dense matrix copying entries from block layout data.
BlockFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math4.linear.BlockFieldMatrix: Create a new matrix with the supplied row and column dimensions.
BlockFieldMatrix(T[][]) - Constructor for class org.apache.commons.math4.linear.BlockFieldMatrix: Create a new dense matrix copying entries from raw layout data.
blockInverse(RealMatrix, int) - Static method in class org.apache.commons.math4.linear.MatrixUtils: Computes the inverse of the given matrix by splitting it into 4 sub-matrices.
BlockRealMatrix - Class in org.apache.commons.math4.linear: Cache-friendly implementation of RealMatrix using a flat arrays to store square blocks of the matrix.
BlockRealMatrix(double[][]) - Constructor for class org.apache.commons.math4.linear.BlockRealMatrix: Create a new dense matrix copying entries from raw layout data.
BlockRealMatrix(int, int) - Constructor for class org.apache.commons.math4.linear.BlockRealMatrix: Create a new matrix with the supplied row and column dimensions.
BlockRealMatrix(int, int, double[][], boolean) - Constructor for class org.apache.commons.math4.linear.BlockRealMatrix: Create a new dense matrix copying entries from block layout data.
BOBYQA_BOUND_DIFFERENCE_CONDITION - org.apache.commons.math4.exception.util.LocalizedFormats
bootstrap(double[], double[], int, boolean, UniformRandomProvider) - Method in class org.apache.commons.math4.stat.inference.KolmogorovSmirnovTest: Estimates the p-value of a two-sample Kolmogorov-Smirnov test evaluating the null hypothesis that x and y are samples drawn from the same probability distribution.
BoxMullerGaussianSampler - Class in org.apache.commons.rng.sampling.distribution: Deprecated.
Since version 1.1. Please use BoxMullerNormalizedGaussianSampler and GaussianSampler instead.
BoxMullerGaussianSampler(UniformRandomProvider, double, double) - Constructor for class org.apache.commons.rng.sampling.distribution.BoxMullerGaussianSampler: Deprecated.
BoxMullerLogNormalSampler - Class in org.apache.commons.rng.sampling.distribution: Deprecated.
Since version 1.1. Please use LogNormalSampler instead.
BoxMullerLogNormalSampler(UniformRandomProvider, double, double) - Constructor for class org.apache.commons.rng.sampling.distribution.BoxMullerLogNormalSampler: Deprecated.
BoxMullerNormalizedGaussianSampler - Class in org.apache.commons.rng.sampling.distribution: Box-Muller algorithm for sampling from Gaussian distribution with mean 0 and standard deviation 1.
BoxMullerNormalizedGaussianSampler(UniformRandomProvider) - Constructor for class org.apache.commons.rng.sampling.distribution.BoxMullerNormalizedGaussianSampler
bracket(UnivariateFunction, double, double, double) - Static method in class org.apache.commons.math4.analysis.solvers.UnivariateSolverUtils: This method simply calls bracket(function, initial, lowerBound, upperBound, q, r, maximumIterations) with q and r set to 1.0 and maximumIterations set to Integer.MAX_VALUE.
bracket(UnivariateFunction, double, double, double, double, double, int) - Static method in class org.apache.commons.math4.analysis.solvers.UnivariateSolverUtils: This method attempts to find two values a and b satisfying lowerBound <= a < initial < b <= upperBound f(a) * f(b) <= 0 If f is continuous on [a,b], this means that a and b bracket a root of f.
bracket(UnivariateFunction, double, double, double, int) - Static method in class org.apache.commons.math4.analysis.solvers.UnivariateSolverUtils: This method simply calls bracket(function, initial, lowerBound, upperBound, q, r, maximumIterations) with q and r set to 1.0.
BracketedRealFieldUnivariateSolver<T extends RealFieldElement<T>> - Interface in org.apache.commons.math4.analysis.solvers: Interface for (univariate real) root-finding algorithms that maintain a bracketed solution.
BracketedUnivariateSolver<FUNC extends UnivariateFunction> - Interface in org.apache.commons.math4.analysis.solvers: Interface for (univariate real) root-finding algorithms that maintain a bracketed solution.
BracketingNthOrderBrentSolver - Class in org.apache.commons.math4.analysis.solvers: This class implements a modification of the Brent algorithm.
BracketingNthOrderBrentSolver() - Constructor for class org.apache.commons.math4.analysis.solvers.BracketingNthOrderBrentSolver: Construct a solver with default accuracy and maximal order (1e-6 and 5 respectively)
BracketingNthOrderBrentSolver(double, double, double, int) - Constructor for class org.apache.commons.math4.analysis.solvers.BracketingNthOrderBrentSolver: Construct a solver.
BracketingNthOrderBrentSolver(double, double, int) - Constructor for class org.apache.commons.math4.analysis.solvers.BracketingNthOrderBrentSolver: Construct a solver.
BracketingNthOrderBrentSolver(double, int) - Constructor for class org.apache.commons.math4.analysis.solvers.BracketingNthOrderBrentSolver: Construct a solver.
BrentSolver - Class in org.apache.commons.math4.analysis.solvers: This class implements the Brent algorithm for finding zeros of real univariate functions.
BrentSolver() - Constructor for class org.apache.commons.math4.analysis.solvers.BrentSolver: Construct a solver with default absolute accuracy (1e-6).
BrentSolver(double) - Constructor for class org.apache.commons.math4.analysis.solvers.BrentSolver: Construct a solver.
BrentSolver(double, double) - Constructor for class org.apache.commons.math4.analysis.solvers.BrentSolver: Construct a solver.
BrentSolver(double, double, double) - Constructor for class org.apache.commons.math4.analysis.solvers.BrentSolver: Construct a solver.
buildArray(Field<T>, int) - Static method in class org.apache.commons.math4.util.MathArrays: Build an array of elements.
buildArray(Field<T>, int, int) - Static method in class org.apache.commons.math4.util.MathArrays: Build a double dimension array of elements.
ByteArray2IntArray - Class in org.apache.commons.rng.simple.internal: Creates a int[] from a byte[].
ByteArray2IntArray() - Constructor for class org.apache.commons.rng.simple.internal.ByteArray2IntArray
ByteArray2LongArray - Class in org.apache.commons.rng.simple.internal: Creates a long[] from a byte[].
ByteArray2LongArray() - Constructor for class org.apache.commons.rng.simple.internal.ByteArray2LongArray
byteValue() - Method in class org.apache.commons.math4.util.Decimal64: The current implementation performs casting to a byte.

C

calculateAdjustedRSquared() - Method in class org.apache.commons.math4.stat.regression.OLSMultipleLinearRegression: Returns the adjusted R-squared statistic, defined by the formula R²_adj = 1 - [SSR (n - 1)] / [SSTO (n - p)] where SSR is the sum of squared residuals, SSTO is the total sum of squares, n is the number of observations and p is the number of parameters estimated (including the intercept).
calculateBeta() - Method in class org.apache.commons.math4.stat.regression.AbstractMultipleLinearRegression: Calculates the beta of multiple linear regression in matrix notation.
calculateBeta() - Method in class org.apache.commons.math4.stat.regression.GLSMultipleLinearRegression: Calculates beta by GLS.
calculateBeta() - Method in class org.apache.commons.math4.stat.regression.OLSMultipleLinearRegression: Calculates the regression coefficients using OLS.
calculateBetaVariance() - Method in class org.apache.commons.math4.stat.regression.AbstractMultipleLinearRegression: Calculates the beta variance of multiple linear regression in matrix notation.
calculateBetaVariance() - Method in class org.apache.commons.math4.stat.regression.GLSMultipleLinearRegression: Calculates the variance on the beta.
calculateBetaVariance() - Method in class org.apache.commons.math4.stat.regression.OLSMultipleLinearRegression: Calculates the variance-covariance matrix of the regression parameters.
calculateErrorVariance() - Method in class org.apache.commons.math4.stat.regression.AbstractMultipleLinearRegression: Calculates the variance of the error term.
calculateErrorVariance() - Method in class org.apache.commons.math4.stat.regression.GLSMultipleLinearRegression: Calculates the estimated variance of the error term using the formula
calculateHat() - Method in class org.apache.commons.math4.stat.regression.OLSMultipleLinearRegression: Compute the "hat" matrix.
calculateResiduals() - Method in class org.apache.commons.math4.stat.regression.AbstractMultipleLinearRegression: Calculates the residuals of multiple linear regression in matrix notation.
calculateResidualSumOfSquares() - Method in class org.apache.commons.math4.stat.regression.OLSMultipleLinearRegression: Returns the sum of squared residuals.
calculateRSquared() - Method in class org.apache.commons.math4.stat.regression.OLSMultipleLinearRegression: Returns the R-Squared statistic, defined by the formula R² = 1 - SSR / SSTO where SSR is the sum of squared residuals and SSTO is the total sum of squares
calculateTotalSumOfSquares() - Method in class org.apache.commons.math4.stat.regression.OLSMultipleLinearRegression: Returns the sum of squared deviations of Y from its mean.
calculateYVariance() - Method in class org.apache.commons.math4.stat.regression.AbstractMultipleLinearRegression: Calculates the variance of the y values.
canIncrement() - Method in class org.apache.commons.math4.util.Incrementor: Deprecated.

Checks whether a single increment is allowed.
canIncrement() - Method in class org.apache.commons.math4.util.IntegerSequence.Incrementor: Checks whether incrementing the counter nTimes is allowed.
canIncrement(int) - Method in class org.apache.commons.math4.util.IntegerSequence.Incrementor: Checks whether incrementing the counter several times is allowed.
CANNOT_CLEAR_STATISTIC_CONSTRUCTED_FROM_EXTERNAL_MOMENTS - org.apache.commons.math4.exception.util.LocalizedFormats
CANNOT_COMPUTE_0TH_ROOT_OF_UNITY - org.apache.commons.math4.exception.util.LocalizedFormats
CANNOT_COMPUTE_BETA_DENSITY_AT_0_FOR_SOME_ALPHA - org.apache.commons.math4.exception.util.LocalizedFormats
CANNOT_COMPUTE_BETA_DENSITY_AT_1_FOR_SOME_BETA - org.apache.commons.math4.exception.util.LocalizedFormats
CANNOT_COMPUTE_NTH_ROOT_FOR_NEGATIVE_N - org.apache.commons.math4.exception.util.LocalizedFormats
CANNOT_DISCARD_NEGATIVE_NUMBER_OF_ELEMENTS - org.apache.commons.math4.exception.util.LocalizedFormats
CANNOT_FORMAT_INSTANCE_AS_3D_VECTOR - org.apache.commons.math4.exception.util.LocalizedFormats
CANNOT_FORMAT_INSTANCE_AS_COMPLEX - org.apache.commons.math4.exception.util.LocalizedFormats
CANNOT_FORMAT_INSTANCE_AS_REAL_VECTOR - org.apache.commons.math4.exception.util.LocalizedFormats
CANNOT_FORMAT_OBJECT_TO_FRACTION - org.apache.commons.math4.exception.util.LocalizedFormats
CANNOT_INCREMENT_STATISTIC_CONSTRUCTED_FROM_EXTERNAL_MOMENTS - org.apache.commons.math4.exception.util.LocalizedFormats
CANNOT_NORMALIZE_A_ZERO_NORM_VECTOR - org.apache.commons.math4.exception.util.LocalizedFormats
CANNOT_PARSE - org.apache.commons.math4.exception.util.LocalizedFormats
CANNOT_PARSE_AS_TYPE - org.apache.commons.math4.exception.util.LocalizedFormats
CANNOT_RETRIEVE_AT_NEGATIVE_INDEX - org.apache.commons.math4.exception.util.LocalizedFormats
CANNOT_SET_AT_NEGATIVE_INDEX - org.apache.commons.math4.exception.util.LocalizedFormats
CANNOT_SUBSTITUTE_ELEMENT_FROM_EMPTY_ARRAY - org.apache.commons.math4.exception.util.LocalizedFormats
CANNOT_TRANSFORM_TO_DOUBLE - org.apache.commons.math4.exception.util.LocalizedFormats
CARDAN_ANGLES_SINGULARITY - org.apache.commons.math4.exception.util.LocalizedFormats
Cauchy - Class in io.virtdata.continuous.int_double
Cauchy - Class in io.virtdata.continuous.long_double
Cauchy(double, double, String...) - Constructor for class io.virtdata.continuous.int_double.Cauchy
Cauchy(double, double, String...) - Constructor for class io.virtdata.continuous.long_double.Cauchy
CauchyAutoDocsInfo - Class in io.virtdata.continuous.int_double
CauchyAutoDocsInfo - Class in io.virtdata.continuous.long_double
CauchyAutoDocsInfo() - Constructor for class io.virtdata.continuous.int_double.CauchyAutoDocsInfo
CauchyAutoDocsInfo() - Constructor for class io.virtdata.continuous.long_double.CauchyAutoDocsInfo
CauchyDistribution - Class in org.apache.commons.statistics.distribution: Implementation of the Cauchy distribution.
CauchyDistribution(double, double) - Constructor for class org.apache.commons.statistics.distribution.CauchyDistribution: Creates a distribution.
cbrt() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Cubic root.
cbrt() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Cubic root.
cbrt() - Method in interface org.apache.commons.math4.RealFieldElement: Cubic root.
cbrt() - Method in class org.apache.commons.math4.util.Decimal64: Cubic root.
cbrt(double) - Static method in class org.apache.commons.math4.util.FastMath: Compute the cubic root of a number.
Cbrt - Class in org.apache.commons.math4.analysis.function: Cube root function.
Cbrt() - Constructor for class org.apache.commons.math4.analysis.function.Cbrt
cdf(double, int) - Method in class org.apache.commons.math4.stat.inference.KolmogorovSmirnovTest: Calculates \(P(D_n < d)\) using the method described in [1] with quick decisions for extreme values given in [2] (see above).
cdf(double, int, boolean) - Method in class org.apache.commons.math4.stat.inference.KolmogorovSmirnovTest: Calculates P(D_n < d) using method described in [1] with quick decisions for extreme values given in [2] (see above).
cdfExact(double, int) - Method in class org.apache.commons.math4.stat.inference.KolmogorovSmirnovTest: Calculates P(D_n < d).
ceil() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Get the smallest whole number larger than instance.
ceil() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Get the smallest whole number larger than instance.
ceil() - Method in interface org.apache.commons.math4.RealFieldElement: Get the smallest whole number larger than instance.
ceil() - Method in class org.apache.commons.math4.util.Decimal64: Get the smallest whole number larger than instance.
ceil(double) - Static method in class org.apache.commons.math4.util.FastMath: Get the smallest whole number larger than x.
Ceil - Class in org.apache.commons.math4.analysis.function: ceil function.
Ceil() - Constructor for class org.apache.commons.math4.analysis.function.Ceil
CentralPivotingStrategy - Class in org.apache.commons.math4.util: A mid point strategy based on the average of begin and end indices.
CentralPivotingStrategy() - Constructor for class org.apache.commons.math4.util.CentralPivotingStrategy
checkAdditionCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math4.linear.MatrixUtils: Check if matrices are addition compatible.
checkAdditionCompatible(FieldMatrix<T>) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Check if a matrix is addition compatible with the instance.
checkColumnIndex(int) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Check if a column index is valid.
checkColumnIndex(AnyMatrix, int) - Static method in class org.apache.commons.math4.linear.MatrixUtils: Check if a column index is valid.
checkCompatibility(DSCompiler) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Check rules set compatibility.
checkContractExpand(double, double) - Method in class org.apache.commons.math4.util.ResizableDoubleArray: Checks the expansion factor and the contraction criterion and raises an exception if the contraction criterion is smaller than the expansion criterion.
checkEqualLength(double[], double[]) - Static method in class org.apache.commons.math4.util.MathArrays: Check that both arrays have the same length.
checkEqualLength(double[], double[], boolean) - Static method in class org.apache.commons.math4.util.MathArrays: Check that both arrays have the same length.
checkEqualLength(int[], int[]) - Static method in class org.apache.commons.math4.util.MathArrays: Check that both arrays have the same length.
checkEqualLength(int[], int[], boolean) - Static method in class org.apache.commons.math4.util.MathArrays: Check that both arrays have the same length.
checkFinite(double) - Static method in class org.apache.commons.math4.util.MathUtils: Check that the argument is a real number.
checkFinite(double[]) - Static method in class org.apache.commons.math4.util.MathUtils: Check that all the elements are real numbers.
checkIndex(int) - Method in class org.apache.commons.math4.linear.RealVector: Check if an index is valid.
checkIndex(int, int, int) - Method in class org.apache.commons.rng.core.BaseProvider: Checks whether index is in the range [min, max].
checkIndices(int, int) - Method in class org.apache.commons.math4.linear.RealVector: Checks that the indices of a subvector are valid.
checkMatrixIndex(AnyMatrix, int, int) - Static method in class org.apache.commons.math4.linear.MatrixUtils: Check if matrix indices are valid.
checkMultiplicationCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math4.linear.MatrixUtils: Check if matrices are multiplication compatible
checkMultiplicationCompatible(FieldMatrix<T>) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Check if a matrix is multiplication compatible with the instance.
checkNonNegative(long[]) - Static method in class org.apache.commons.math4.util.MathArrays: Check that all entries of the input array are >= 0.
checkNonNegative(long[][]) - Static method in class org.apache.commons.math4.util.MathArrays: Check all entries of the input array are >= 0.
checkNotNaN(double[]) - Static method in class org.apache.commons.math4.util.MathArrays: Check that no entry of the input array is NaN.
checkNotNull(Object) - Static method in class org.apache.commons.math4.util.MathUtils: Checks that an object is not null.
checkNotNull(Object, Localizable, Object...) - Static method in class org.apache.commons.math4.util.MathUtils: Checks that an object is not null.
checkOrder(double[]) - Static method in class org.apache.commons.math4.util.MathArrays: Check that the given array is sorted in strictly increasing order.
checkOrder(double[], MathArrays.OrderDirection, boolean) - Static method in class org.apache.commons.math4.util.MathArrays: Check that the given array is sorted.
checkOrder(double[], MathArrays.OrderDirection, boolean, boolean) - Static method in class org.apache.commons.math4.util.MathArrays: Check that the given array is sorted.
checkParameters(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Static method in class org.apache.commons.math4.linear.PreconditionedIterativeLinearSolver: Performs all dimension checks on the parameters of solve and solveInPlace, and throws an exception if one of the checks fails.
checkParameters(RealLinearOperator, RealVector, RealVector) - Static method in class org.apache.commons.math4.linear.IterativeLinearSolver: Performs all dimension checks on the parameters of solve and solveInPlace, and throws an exception if one of the checks fails.
checkPositive(double[]) - Static method in class org.apache.commons.math4.util.MathArrays: Check that all entries of the input array are strictly positive.
checkRectangular(long[][]) - Static method in class org.apache.commons.math4.util.MathArrays: Throws DimensionMismatchException if the input array is not rectangular.
checkRowIndex(int) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Check if a row index is valid.
checkRowIndex(AnyMatrix, int) - Static method in class org.apache.commons.math4.linear.MatrixUtils: Check if a row index is valid.
checkStateSize(byte[], int) - Method in class org.apache.commons.rng.core.BaseProvider: Deprecated.
Method is used internally and should be made private in some future release.
checkSubMatrixIndex(int[], int[]) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Check if submatrix ranges indices are valid.
checkSubMatrixIndex(int, int, int, int) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Check if submatrix ranges indices are valid.
checkSubMatrixIndex(AnyMatrix, int[], int[]) - Static method in class org.apache.commons.math4.linear.MatrixUtils: Check if submatrix ranges indices are valid.
checkSubMatrixIndex(AnyMatrix, int, int, int, int) - Static method in class org.apache.commons.math4.linear.MatrixUtils: Check if submatrix ranges indices are valid.
checkSubtractionCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math4.linear.MatrixUtils: Check if matrices are subtraction compatible
checkSubtractionCompatible(FieldMatrix<T>) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Check if a matrix is subtraction compatible with the instance.
checkSymmetric(RealMatrix, double) - Static method in class org.apache.commons.math4.linear.MatrixUtils: Checks whether a matrix is symmetric.
checkVectorDimensions(int) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Check if instance dimension is equal to some expected value.
checkVectorDimensions(int) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Check if instance dimension is equal to some expected value.
checkVectorDimensions(int) - Method in class org.apache.commons.math4.linear.RealVector: Check if instance dimension is equal to some expected value.
checkVectorDimensions(int) - Method in class org.apache.commons.math4.linear.SparseFieldVector: Check if instance dimension is equal to some expected value.
checkVectorDimensions(FieldVector<T>) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Check if instance and specified vectors have the same dimension.
checkVectorDimensions(RealVector) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Check if instance and specified vectors have the same dimension.
checkVectorDimensions(RealVector) - Method in class org.apache.commons.math4.linear.RealVector: Check if instance and specified vectors have the same dimension.
ChengBetaSampler - Class in org.apache.commons.rng.sampling.distribution: Utility class implementing Cheng's algorithms for beta distribution sampling.
ChengBetaSampler(UniformRandomProvider, double, double) - Constructor for class org.apache.commons.rng.sampling.distribution.ChengBetaSampler: Creates a sampler instance.
chiSquare(double[], long[]) - Method in class org.apache.commons.math4.stat.inference.ChiSquareTest: Computes the Chi-Square statistic comparing observed and expected frequency counts.
chiSquare(double[], long[]) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
chiSquare(long[][]) - Method in class org.apache.commons.math4.stat.inference.ChiSquareTest: Computes the Chi-Square statistic associated with a chi-square test of independence based on the input counts array, viewed as a two-way table.
chiSquare(long[][]) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
ChiSquared - Class in io.virtdata.continuous.int_double
ChiSquared - Class in io.virtdata.continuous.long_double
ChiSquared(double, String...) - Constructor for class io.virtdata.continuous.int_double.ChiSquared
ChiSquared(double, String...) - Constructor for class io.virtdata.continuous.long_double.ChiSquared
chiSquareDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math4.stat.inference.ChiSquareTest: Computes a Chi-Square two sample test statistic comparing bin frequency counts in observed1 and observed2.
chiSquareDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
ChiSquaredAutoDocsInfo - Class in io.virtdata.continuous.int_double
ChiSquaredAutoDocsInfo - Class in io.virtdata.continuous.long_double
ChiSquaredAutoDocsInfo() - Constructor for class io.virtdata.continuous.int_double.ChiSquaredAutoDocsInfo
ChiSquaredAutoDocsInfo() - Constructor for class io.virtdata.continuous.long_double.ChiSquaredAutoDocsInfo
ChiSquaredDistribution - Class in org.apache.commons.statistics.distribution: Implementation of the chi-squared distribution.
ChiSquaredDistribution(double) - Constructor for class org.apache.commons.statistics.distribution.ChiSquaredDistribution: Creates a distribution.
chiSquareTest(double[], long[]) - Method in class org.apache.commons.math4.stat.inference.ChiSquareTest: Returns the observed significance level, or p-value, associated with a Chi-square goodness of fit test comparing the observed frequency counts to those in the expected array.
chiSquareTest(double[], long[]) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
chiSquareTest(double[], long[], double) - Method in class org.apache.commons.math4.stat.inference.ChiSquareTest: Performs a Chi-square goodness of fit test evaluating the null hypothesis that the observed counts conform to the frequency distribution described by the expected counts, with significance level alpha.
chiSquareTest(double[], long[], double) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
chiSquareTest(long[][]) - Method in class org.apache.commons.math4.stat.inference.ChiSquareTest: Returns the observed significance level, or p-value, associated with a chi-square test of independence based on the input counts array, viewed as a two-way table.
chiSquareTest(long[][]) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
chiSquareTest(long[][], double) - Method in class org.apache.commons.math4.stat.inference.ChiSquareTest: Performs a chi-square test of independence evaluating the null hypothesis that the classifications represented by the counts in the columns of the input 2-way table are independent of the rows, with significance level alpha.
chiSquareTest(long[][], double) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
ChiSquareTest - Class in org.apache.commons.math4.stat.inference: Implements Chi-Square test statistics.
ChiSquareTest() - Constructor for class org.apache.commons.math4.stat.inference.ChiSquareTest: Construct a ChiSquareTest
chiSquareTestDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math4.stat.inference.ChiSquareTest: Returns the observed significance level, or p-value, associated with a Chi-Square two sample test comparing bin frequency counts in observed1 and observed2.
chiSquareTestDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
chiSquareTestDataSetsComparison(long[], long[], double) - Method in class org.apache.commons.math4.stat.inference.ChiSquareTest: Performs a Chi-Square two sample test comparing two binned data sets.
chiSquareTestDataSetsComparison(long[], long[], double) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
CholeskyDecomposition - Class in org.apache.commons.math4.linear: Calculates the Cholesky decomposition of a matrix.
CholeskyDecomposition(RealMatrix) - Constructor for class org.apache.commons.math4.linear.CholeskyDecomposition: Calculates the Cholesky decomposition of the given matrix.
CholeskyDecomposition(RealMatrix, double, double) - Constructor for class org.apache.commons.math4.linear.CholeskyDecomposition: Calculates the Cholesky decomposition of the given matrix.
CLAMP - Static variable in class io.virtdata.continuous.int_double.IntToDoubleContinuousCurve
CLAMP - Static variable in class io.virtdata.continuous.long_double.LongToDoubleContinuousCurve
CLASS_DOESNT_IMPLEMENT_COMPARABLE - org.apache.commons.math4.exception.util.LocalizedFormats
classes() - Method in class org.apache.commons.math4.util.TransformerMap: Returns the Set of Classes used as keys in the map.
clear() - Method in class org.apache.commons.math4.stat.descriptive.AbstractStorelessUnivariateStatistic: Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Resets all statistics and storage
clear() - Method in class org.apache.commons.math4.stat.descriptive.moment.GeometricMean: Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math4.stat.descriptive.moment.Kurtosis: Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math4.stat.descriptive.moment.Mean: Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math4.stat.descriptive.moment.SecondMoment: Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math4.stat.descriptive.moment.Skewness: Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math4.stat.descriptive.moment.StandardDeviation: Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math4.stat.descriptive.moment.Variance: Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math4.stat.descriptive.moment.VectorialCovariance: Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics: Resets all statistics and storage
clear() - Method in class org.apache.commons.math4.stat.descriptive.rank.Max: Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math4.stat.descriptive.rank.Min: Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math4.stat.descriptive.rank.PSquarePercentile: Clears the internal state of the Statistic
clear() - Method in interface org.apache.commons.math4.stat.descriptive.StorelessUnivariateStatistic: Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math4.stat.descriptive.summary.Product: Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math4.stat.descriptive.summary.Sum: Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math4.stat.descriptive.summary.SumOfLogs: Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math4.stat.descriptive.summary.SumOfSquares: Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Resets all statistics and storage
clear() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedDescriptiveStatistics: Resets all statistics and storage
clear() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics: Resets all statistics and storage
clear() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: Resets all statistics and storage
clear() - Method in class org.apache.commons.math4.stat.Frequency: Clears the frequency table
clear() - Method in class org.apache.commons.math4.stat.regression.MillerUpdatingRegression: As the name suggests, clear wipes the internals and reorders everything in the canonical order.
clear() - Method in class org.apache.commons.math4.stat.regression.SimpleRegression: Clears all data from the model.
clear() - Method in interface org.apache.commons.math4.stat.regression.UpdatingMultipleLinearRegression: Clears internal buffers and resets the regression model.
clear() - Method in interface org.apache.commons.math4.util.DoubleArray: Clear the double array
clear() - Method in class org.apache.commons.math4.util.ResizableDoubleArray: Clear the array contents, resetting the number of elements to zero.
clear() - Method in class org.apache.commons.math4.util.TransformerMap: Clears all the Class to Transformer mappings.
clone() - Method in interface org.apache.commons.math4.stat.descriptive.rank.PSquarePercentile.PSquareMarkers: A clone function to clone the current instance.
ClopperPearsonInterval - Class in org.apache.commons.math4.stat.interval: Implements the Clopper-Pearson method for creating a binomial proportion confidence interval.
ClopperPearsonInterval() - Constructor for class org.apache.commons.math4.stat.interval.ClopperPearsonInterval
CLOSE_VERTICES - org.apache.commons.math4.exception.util.LocalizedFormats
CLOSEST_ORTHOGONAL_MATRIX_HAS_NEGATIVE_DETERMINANT - org.apache.commons.math4.exception.util.LocalizedFormats
CollectionSampler<T> - Class in org.apache.commons.rng.sampling: Sampling from a Collection.
CollectionSampler(UniformRandomProvider, Collection<T>) - Constructor for class org.apache.commons.rng.sampling.CollectionSampler: Creates a sampler.
collector(BivariateFunction, double) - Static method in class org.apache.commons.math4.analysis.FunctionUtils: Returns a MultivariateFunction h(x[]) defined by
collector(BivariateFunction, UnivariateFunction, double) - Static method in class org.apache.commons.math4.analysis.FunctionUtils: Returns a MultivariateFunction h(x[]) defined by
COLUMN_INDEX - org.apache.commons.math4.exception.util.LocalizedFormats
COLUMN_INDEX_OUT_OF_RANGE - org.apache.commons.math4.exception.util.LocalizedFormats
Combinations - Class in org.apache.commons.numbers.combinatorics: Utility to create combinations (n, k) of k elements in a set of n elements.
Combinations(int, int) - Constructor for class org.apache.commons.numbers.combinatorics.Combinations: Creates an instance whose range is the k-element subsets of {0, ..., n - 1} represented as int[] arrays.
Combinations.LexicographicComparator - Class in org.apache.commons.numbers.combinatorics: Defines a lexicographic ordering of the combinations.
CombinationSampler - Class in org.apache.commons.rng.sampling: Class for representing combinations of a sequence of integers.
CombinationSampler(UniformRandomProvider, int, int) - Constructor for class org.apache.commons.rng.sampling.CombinationSampler: Creates a generator of combinations.
CombinatoricsUtils - Class in org.apache.commons.math4.util: Combinatorial utilities.
combine(double, double, RealVector) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Returns a new vector representing a * this + b * y, the linear combination of this and y.
combine(double, double, RealVector) - Method in class org.apache.commons.math4.linear.RealVector: Returns a new vector representing a * this + b * y, the linear combination of this and y.
combine(BivariateFunction, UnivariateFunction, UnivariateFunction) - Static method in class org.apache.commons.math4.analysis.FunctionUtils: Returns the univariate function h(x) = combiner(f(x), g(x)).
combineToSelf(double, double, RealVector) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Updates this with the linear combination of this and y.
combineToSelf(double, double, RealVector) - Method in class org.apache.commons.math4.linear.RealVector: Updates this with the linear combination of this and y.
compare(int[], int[]) - Method in class org.apache.commons.numbers.combinatorics.Combinations.LexicographicComparator
compareTo(double, double, double) - Static method in class org.apache.commons.numbers.core.Precision: Compares two numbers given some amount of allowed error.
compareTo(double, double, int) - Static method in class org.apache.commons.numbers.core.Precision: Compares two numbers given some amount of allowed error.
compareTo(BigFraction) - Method in class org.apache.commons.math4.fraction.BigFraction: Compares this object to another based on size.
compareTo(Fraction) - Method in class org.apache.commons.math4.fraction.Fraction: Compares this object to another based on size.
compareTo(BigReal) - Method in class org.apache.commons.math4.util.BigReal
compareTo(Decimal64) - Method in class org.apache.commons.math4.util.Decimal64: The current implementation returns the same value as new Double(this.doubleValue()).compareTo(new Double(o.doubleValue()))
compareTo(BigFraction) - Method in class org.apache.commons.numbers.fraction.BigFraction: Compares this object to another based on size.
compareTo(Fraction) - Method in class org.apache.commons.numbers.fraction.Fraction: Compares this object to another based on size.
Complex - Class in org.apache.commons.numbers.complex: Representation of a Complex number, i.e.
complex2Imaginary(Complex[]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts imaginary part of a Complex[] array to a double[] array.
complex2Imaginary(Complex[][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts imaginary component of a 2D Complex[][] array to a 2D double[][] array.
complex2Imaginary(Complex[][][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts imaginary component of a 3D Complex[][][] array to a 3D double[][][] array.
complex2Imaginary(Complex[][][][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts imaginary component of a 4D Complex[][][][] array to a 4D double[][][][] array.
complex2ImaginaryFloat(Complex[]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts imaginary component of a Complex[] array to a float[] array.
complex2ImaginaryFloat(Complex[][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts imaginary component of a 2D Complex[][] array to a 2D float[][] array.
complex2ImaginaryFloat(Complex[][][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts imaginary component of a 3D Complex[][][] array to a 3D float[][][] array.
complex2ImaginaryFloat(Complex[][][][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts imaginary component of a 4D Complex[][][][] array to a 4D float[][][][] array.
complex2Interleaved(Complex[]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a Complex[] array to an interleaved complex double[] array
complex2Interleaved(Complex[][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a 2D Complex[][] array to an interleaved complex double[][] array.
complex2Interleaved(Complex[][][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a 3D Complex[][][] array to an interleaved complex double[][][] array.
complex2Interleaved(Complex[][][][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a 4D Complex[][][][] array to an interleaved complex double[][][][] array.
complex2Interleaved(Complex[][][][], int) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a 4D Complex[][][][] array to an interleaved complex double[][][][] array.
complex2Interleaved(Complex[][][], int) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a 3D Complex[][][] array to an interleaved complex double[][][] array.
complex2Interleaved(Complex[][], int) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a 2D Complex[][] array to an interleaved complex double[][] array.
complex2InterleavedFloat(Complex[]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a Complex[] array to an interleaved complex float[] array
complex2InterleavedFloat(Complex[][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a 2D Complex[][] array to an interleaved complex float[][] array.
complex2InterleavedFloat(Complex[][][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a 3D Complex[][][] array to an interleaved complex float[][][] array.
complex2InterleavedFloat(Complex[][][], int) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a 3D Complex[][][] array to an interleaved complex float[][][] array.
complex2InterleavedFloat(Complex[][], int) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a 2D Complex[][] array to an interleaved complex float[][] array.
complex2Real(Complex[]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts real component of Complex[] array to a double[] array.
complex2Real(Complex[][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts real component of a 2D Complex[][] array to a 2D double[][] array.
complex2Real(Complex[][][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts real component of a 3D Complex[][][] array to a 3D double[][][] array.
complex2Real(Complex[][][][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts real component of a 4D Complex[][][][] array to a 4D double[][][][] array.
complex2RealFloat(Complex[]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts real component of Complex[] array to a float[] array.
complex2RealFloat(Complex[][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts real component of a 2D Complex[][] array to a 2D float[][] array.
complex2RealFloat(Complex[][][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts real component of a 3D Complex[][][] array to a 3D float[][][] array.
complex2RealFloat(Complex[][][][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts real component of a 4D Complex[][][][] array to a 4D float[][][][] array.
ComplexUtils - Class in org.apache.commons.numbers.complex.streams: Static implementations of common Complex utilities functions.
compose(double...) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Compute composition of the instance by a univariate function.
compose(double[], int, double[], double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Compute composition of a derivative structure by a function.
compose(double, double) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Compute composition of the instance by a univariate function.
compose(UnivariateDifferentiableFunction...) - Static method in class org.apache.commons.math4.analysis.FunctionUtils: Composes functions.
compose(UnivariateFunction...) - Static method in class org.apache.commons.math4.analysis.FunctionUtils: Composes functions.
composeStateInternal(byte[], byte[]) - Method in class org.apache.commons.rng.core.BaseProvider: Combine parent and subclass states.
CompositeFormat - Class in org.apache.commons.math4.util: Base class for formatters of composite objects (complex numbers, vectors ...).
compute(MathArrays.Function) - Method in class org.apache.commons.math4.util.ResizableDoubleArray: Performs an operation on the addressable elements of the array.
COMPUTE - Static variable in class io.virtdata.continuous.int_double.IntToDoubleContinuousCurve
COMPUTE - Static variable in class io.virtdata.continuous.long_double.LongToDoubleContinuousCurve
COMPUTE - Static variable in class io.virtdata.discrete.int_int.IntToIntDiscreteCurve
COMPUTE - Static variable in class io.virtdata.discrete.int_long.IntToLongDiscreteCurve
COMPUTE - Static variable in class io.virtdata.discrete.long_int.LongToIntDiscreteCurve
COMPUTE - Static variable in class io.virtdata.discrete.long_long.LongToLongDiscreteCurve
computeCoefficients() - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunctionLagrangeForm: Calculate the coefficients of Lagrange polynomial from the interpolation data.
computeCoefficients() - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunctionNewtonForm: Calculate the normal polynomial coefficients given the Newton form.
computeCorrelationMatrix(double[][]) - Method in class org.apache.commons.math4.stat.correlation.KendallsCorrelation: Computes the Kendall's Tau rank correlation matrix for the columns of the input rectangular array.
computeCorrelationMatrix(double[][]) - Method in class org.apache.commons.math4.stat.correlation.PearsonsCorrelation: Computes the correlation matrix for the columns of the input rectangular array.
computeCorrelationMatrix(double[][]) - Method in class org.apache.commons.math4.stat.correlation.SpearmansCorrelation: Computes the Spearman's rank correlation matrix for the columns of the input rectangular array.
computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math4.stat.correlation.KendallsCorrelation: Computes the Kendall's Tau rank correlation matrix for the columns of the input matrix.
computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math4.stat.correlation.PearsonsCorrelation: Computes the correlation matrix for the columns of the input matrix, using PearsonsCorrelation.correlation(double[], double[]).
computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math4.stat.correlation.SpearmansCorrelation: Computes the Spearman's rank correlation matrix for the columns of the input matrix.
computeCovarianceMatrix(double[][]) - Method in class org.apache.commons.math4.stat.correlation.Covariance: Create a covariance matrix from a rectangular array whose columns represent covariates.
computeCovarianceMatrix(double[][], boolean) - Method in class org.apache.commons.math4.stat.correlation.Covariance: Compute a covariance matrix from a rectangular array whose columns represent covariates.
computeCovarianceMatrix(RealMatrix) - Method in class org.apache.commons.math4.stat.correlation.Covariance: Create a covariance matrix from a matrix whose columns represent covariates.
computeCovarianceMatrix(RealMatrix, boolean) - Method in class org.apache.commons.math4.stat.correlation.Covariance: Compute a covariance matrix from a matrix whose columns represent covariates.
computeDividedDifference(double[], double[]) - Static method in class org.apache.commons.math4.analysis.interpolation.DividedDifferenceInterpolator: Return a copy of the divided difference array.
computeObjectiveValue(double) - Method in class org.apache.commons.math4.analysis.integration.BaseAbstractUnivariateIntegrator: Compute the objective function value.
computeObjectiveValue(double) - Method in class org.apache.commons.math4.analysis.solvers.BaseAbstractUnivariateSolver: Compute the objective function value.
computeObjectiveValueAndDerivative(double) - Method in class org.apache.commons.math4.analysis.solvers.AbstractUnivariateDifferentiableSolver: Compute the objective function value.
computeRule(int) - Method in class org.apache.commons.math4.analysis.integration.gauss.BaseRuleFactory: Computes the rule for the given order.
computeRule(int) - Method in class org.apache.commons.math4.analysis.integration.gauss.HermiteRuleFactory: Computes the rule for the given order.
computeRule(int) - Method in class org.apache.commons.math4.analysis.integration.gauss.LaguerreRuleFactory: Computes the rule for the given order.
computeRule(int) - Method in class org.apache.commons.math4.analysis.integration.gauss.LegendreHighPrecisionRuleFactory: Computes the rule for the given order.
computeRule(int) - Method in class org.apache.commons.math4.analysis.integration.gauss.LegendreRuleFactory: Computes the rule for the given order.
concatenate(double[]...) - Static method in class org.apache.commons.math4.util.MathArrays: Concatenates a sequence of arrays.
ConfidenceInterval - Class in org.apache.commons.math4.stat.interval: Represents an interval estimate of a population parameter.
ConfidenceInterval(double, double, double) - Constructor for class org.apache.commons.math4.stat.interval.ConfidenceInterval: Create a confidence interval with the given bounds and confidence level.
conj() - Method in class org.apache.commons.numbers.complex.Complex: Returns the conjugate of this complex number.
conjugate() - Method in class org.apache.commons.numbers.complex.Complex: Returns the conjugate of this complex number.
ConjugateGradient - Class in org.apache.commons.math4.linear: This is an implementation of the conjugate gradient method for RealLinearOperator.
ConjugateGradient(int, double, boolean) - Constructor for class org.apache.commons.math4.linear.ConjugateGradient: Creates a new instance of this class, with default stopping criterion.
ConjugateGradient(IterationManager, double, boolean) - Constructor for class org.apache.commons.math4.linear.ConjugateGradient: Creates a new instance of this class, with default stopping criterion and custom iteration manager.
Constant - Class in org.apache.commons.math4.analysis.function: Constant function.
Constant(double) - Constructor for class org.apache.commons.math4.analysis.function.Constant
ConstantContinuous - Class in io.virtdata.continuous.int_double: Always yields the same value.
ConstantContinuous - Class in io.virtdata.continuous.long_double
ConstantContinuous(double, String...) - Constructor for class io.virtdata.continuous.int_double.ConstantContinuous
ConstantContinuous(double, String...) - Constructor for class io.virtdata.continuous.long_double.ConstantContinuous
ConstantContinuousAutoDocsInfo - Class in io.virtdata.continuous.int_double
ConstantContinuousAutoDocsInfo - Class in io.virtdata.continuous.long_double
ConstantContinuousAutoDocsInfo() - Constructor for class io.virtdata.continuous.int_double.ConstantContinuousAutoDocsInfo
ConstantContinuousAutoDocsInfo() - Constructor for class io.virtdata.continuous.long_double.ConstantContinuousAutoDocsInfo
ConstantContinuousDistribution - Class in org.apache.commons.statistics.distribution: Implementation of the constant real distribution.
ConstantContinuousDistribution(double) - Constructor for class org.apache.commons.statistics.distribution.ConstantContinuousDistribution: Create a constant real distribution with the given value.
CONSTRAINT - org.apache.commons.math4.exception.util.LocalizedFormats
containsClass(Class<?>) - Method in class org.apache.commons.math4.util.TransformerMap: Tests if a Class is present in the TransformerMap.
containsKey(int) - Method in class org.apache.commons.math4.util.OpenIntToDoubleHashMap: Check if a value is associated with a key.
containsKey(int) - Method in class org.apache.commons.math4.util.OpenIntToFieldHashMap: Check if a value is associated with a key.
containsTransformer(NumberTransformer) - Method in class org.apache.commons.math4.util.TransformerMap: Tests if a NumberTransformer is present in the TransformerMap.
CONTINUED_FRACTION_INFINITY_DIVERGENCE - org.apache.commons.math4.exception.util.LocalizedFormats
CONTINUED_FRACTION_NAN_DIVERGENCE - org.apache.commons.math4.exception.util.LocalizedFormats
ContinuedFraction - Class in org.apache.commons.numbers.fraction: Provides a generic means to evaluate continued fractions.
ContinuedFraction() - Constructor for class org.apache.commons.numbers.fraction.ContinuedFraction
ContinuousDistribution - Interface in org.apache.commons.statistics.distribution: Base interface for distributions on the reals.
ContinuousDistribution.Sampler - Interface in org.apache.commons.statistics.distribution: Sampling functionality.
ContinuousInverseCumulativeProbabilityFunction - Interface in org.apache.commons.rng.sampling.distribution: Interface for a continuous distribution that can be sampled using the inversion method.
ContinuousSampler - Interface in org.apache.commons.rng.sampling.distribution: Sampler that generates values of type double.
ContinuousUniformSampler - Class in org.apache.commons.rng.sampling.distribution: Sampling from a uniform distribution.
ContinuousUniformSampler(UniformRandomProvider, double, double) - Constructor for class org.apache.commons.rng.sampling.distribution.ContinuousUniformSampler
contract() - Method in class org.apache.commons.math4.util.ResizableDoubleArray: Contracts the storage array to the (size of the element set) + 1 - to avoid a zero length array.
CONTRACTION_CRITERIA_SMALLER_THAN_EXPANSION_FACTOR - org.apache.commons.math4.exception.util.LocalizedFormats
CONTRACTION_CRITERIA_SMALLER_THAN_ONE - org.apache.commons.math4.exception.util.LocalizedFormats
CONVERGENCE_FAILED - org.apache.commons.math4.exception.util.LocalizedFormats
ConvergenceException - Exception in org.apache.commons.math4.exception: Error thrown when a numerical computation can not be performed because the numerical result failed to converge to a finite value.
ConvergenceException() - Constructor for exception org.apache.commons.math4.exception.ConvergenceException: Construct the exception.
ConvergenceException(Localizable, Object...) - Constructor for exception org.apache.commons.math4.exception.ConvergenceException: Construct the exception with a specific context and arguments.
convert(byte[]) - Method in class org.apache.commons.rng.simple.internal.ByteArray2IntArray: Converts seed from input type to output type.
convert(byte[]) - Method in class org.apache.commons.rng.simple.internal.ByteArray2LongArray: Converts seed from input type to output type.
convert(int[]) - Method in class org.apache.commons.rng.simple.internal.IntArray2Int: Converts seed from input type to output type.
convert(int[]) - Method in class org.apache.commons.rng.simple.internal.IntArray2LongArray: Converts seed from input type to output type.
convert(long[]) - Method in class org.apache.commons.rng.simple.internal.LongArray2IntArray: Converts seed from input type to output type.
convert(long[]) - Method in class org.apache.commons.rng.simple.internal.LongArray2Long: Converts seed from input type to output type.
convert(IN) - Method in interface org.apache.commons.rng.simple.internal.SeedConverter: Converts seed from input type to output type.
convert(IN) - Method in class org.apache.commons.rng.simple.internal.SeedConverterComposer: Converts seed from input type to output type.
convert(Integer) - Method in class org.apache.commons.rng.simple.internal.Int2Long: Converts seed from input type to output type.
convert(Long) - Method in class org.apache.commons.rng.simple.internal.Long2Int: Converts seed from input type to output type.
convert(Long) - Method in class org.apache.commons.rng.simple.internal.Long2IntArray: Converts seed from input type to output type.
convert(Long) - Method in class org.apache.commons.rng.simple.internal.Long2LongArray: Converts seed from input type to output type.
convert(SEED) - Method in class org.apache.commons.rng.simple.internal.NoOpConverter: Converts seed from input type to output type.
convolve(double[], double[]) - Static method in class org.apache.commons.math4.util.MathArrays: Calculates the convolution between two sequences.
copy() - Method in class org.apache.commons.math4.analysis.interpolation.InterpolatingMicrosphere: Perform a copy.
copy() - Method in class org.apache.commons.math4.analysis.interpolation.InterpolatingMicrosphere2D: Perform a copy.
copy() - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Make a (deep) copy of this.
copy() - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math4.linear.Array2DRowFieldMatrix: Make a (deep) copy of this.
copy() - Method in class org.apache.commons.math4.linear.Array2DRowRealMatrix: Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math4.linear.ArrayRealVector: Returns a (deep) copy of this vector.
copy() - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Make a (deep) copy of this.
copy() - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math4.linear.DiagonalMatrix: Returns a (deep) copy of this.
copy() - Method in interface org.apache.commons.math4.linear.FieldMatrix: Make a (deep) copy of this.
copy() - Method in interface org.apache.commons.math4.linear.FieldVector: Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math4.linear.OpenMapRealMatrix: Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math4.linear.OpenMapRealVector: Returns a (deep) copy of this vector.
copy() - Method in interface org.apache.commons.math4.linear.RealMatrix: Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math4.linear.RealVector: Returns a (deep) copy of this vector.
copy() - Method in class org.apache.commons.math4.linear.SparseFieldMatrix: Make a (deep) copy of this.
copy() - Method in class org.apache.commons.math4.linear.SparseFieldVector: Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math4.stat.descriptive.AbstractStorelessUnivariateStatistic: Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math4.stat.descriptive.AbstractUnivariateStatistic: Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Returns a copy of this DescriptiveStatistics instance with the same internal state.
copy() - Method in class org.apache.commons.math4.stat.descriptive.moment.GeometricMean: Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math4.stat.descriptive.moment.Kurtosis: Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math4.stat.descriptive.moment.Mean: Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math4.stat.descriptive.moment.SecondMoment: Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math4.stat.descriptive.moment.SemiVariance: Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math4.stat.descriptive.moment.Skewness: Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math4.stat.descriptive.moment.StandardDeviation: Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math4.stat.descriptive.moment.Variance: Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math4.stat.descriptive.rank.Max: Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math4.stat.descriptive.rank.Min: Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math4.stat.descriptive.rank.Percentile: Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math4.stat.descriptive.rank.PSquarePercentile: Returns a copy of the statistic with the same internal state.
copy() - Method in interface org.apache.commons.math4.stat.descriptive.StorelessUnivariateStatistic: Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math4.stat.descriptive.summary.Product: Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math4.stat.descriptive.summary.Sum: Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math4.stat.descriptive.summary.SumOfLogs: Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math4.stat.descriptive.summary.SumOfSquares: Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Returns a copy of this SummaryStatistics instance with the same internal state.
copy() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedDescriptiveStatistics: Returns a copy of this SynchronizedDescriptiveStatistics instance with the same internal state.
copy() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: Returns a copy of this SynchronizedSummaryStatistics instance with the same internal state.
copy() - Method in interface org.apache.commons.math4.stat.descriptive.UnivariateStatistic: Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math4.util.ResizableDoubleArray: Returns a copy of the ResizableDoubleArray.
copy(DescriptiveStatistics, DescriptiveStatistics) - Static method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Copies source to dest.
copy(GeometricMean, GeometricMean) - Static method in class org.apache.commons.math4.stat.descriptive.moment.GeometricMean: Copies source to dest.
copy(Kurtosis, Kurtosis) - Static method in class org.apache.commons.math4.stat.descriptive.moment.Kurtosis: Copies source to dest.
copy(Mean, Mean) - Static method in class org.apache.commons.math4.stat.descriptive.moment.Mean: Copies source to dest.
copy(SecondMoment, SecondMoment) - Static method in class org.apache.commons.math4.stat.descriptive.moment.SecondMoment: Copies source to dest.
copy(SemiVariance, SemiVariance) - Static method in class org.apache.commons.math4.stat.descriptive.moment.SemiVariance: Copies source to dest.
copy(Skewness, Skewness) - Static method in class org.apache.commons.math4.stat.descriptive.moment.Skewness: Copies source to dest.
copy(StandardDeviation, StandardDeviation) - Static method in class org.apache.commons.math4.stat.descriptive.moment.StandardDeviation: Copies source to dest.
copy(Variance, Variance) - Static method in class org.apache.commons.math4.stat.descriptive.moment.Variance: Copies source to dest.
copy(Max, Max) - Static method in class org.apache.commons.math4.stat.descriptive.rank.Max: Copies source to dest.
copy(Min, Min) - Static method in class org.apache.commons.math4.stat.descriptive.rank.Min: Copies source to dest.
copy(Product, Product) - Static method in class org.apache.commons.math4.stat.descriptive.summary.Product: Copies source to dest.
copy(SumOfLogs, SumOfLogs) - Static method in class org.apache.commons.math4.stat.descriptive.summary.SumOfLogs: Copies source to dest.
copy(SumOfSquares, SumOfSquares) - Static method in class org.apache.commons.math4.stat.descriptive.summary.SumOfSquares: Copies source to dest.
copy(Sum, Sum) - Static method in class org.apache.commons.math4.stat.descriptive.summary.Sum: Copies source to dest.
copy(SummaryStatistics, SummaryStatistics) - Static method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Copies source to dest.
copy(SynchronizedDescriptiveStatistics, SynchronizedDescriptiveStatistics) - Static method in class org.apache.commons.math4.stat.descriptive.SynchronizedDescriptiveStatistics: Copies source to dest.
copy(SynchronizedSummaryStatistics, SynchronizedSummaryStatistics) - Static method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: Copies source to dest.
copyOf(double[]) - Static method in class org.apache.commons.math4.util.MathArrays: Creates a copy of the source array.
copyOf(double[], int) - Static method in class org.apache.commons.math4.util.MathArrays: Creates a copy of the source array.
copyOf(int[]) - Static method in class org.apache.commons.math4.util.MathArrays: Creates a copy of the source array.
copyOf(int[], int) - Static method in class org.apache.commons.math4.util.MathArrays: Creates a copy of the source array.
copyOfRange(double[], int, int) - Static method in class org.apache.commons.math4.util.MathArrays: Creates a copy of the source array.
copySign(byte, byte) - Static method in class org.apache.commons.math4.util.MathUtils: Returns the first argument with the sign of the second argument.
copySign(double) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Returns the instance with the sign of the argument.
copySign(double) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Returns the instance with the sign of the argument.
copySign(double) - Method in interface org.apache.commons.math4.RealFieldElement: Returns the instance with the sign of the argument.
copySign(double) - Method in class org.apache.commons.math4.util.Decimal64: Returns the instance with the sign of the argument.
copySign(double, double) - Static method in class org.apache.commons.math4.util.FastMath: Returns the first argument with the sign of the second argument.
copySign(float, float) - Static method in class org.apache.commons.math4.util.FastMath: Returns the first argument with the sign of the second argument.
copySign(int, int) - Static method in class org.apache.commons.math4.util.MathUtils: Returns the first argument with the sign of the second argument.
copySign(long, long) - Static method in class org.apache.commons.math4.util.MathUtils: Returns the first argument with the sign of the second argument.
copySign(short, short) - Static method in class org.apache.commons.math4.util.MathUtils: Returns the first argument with the sign of the second argument.
copySign(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Returns the instance with the sign of the argument.
copySign(SparseGradient) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Returns the instance with the sign of the argument.
copySign(Decimal64) - Method in class org.apache.commons.math4.util.Decimal64: Returns the instance with the sign of the argument.
copySign(T) - Method in interface org.apache.commons.math4.RealFieldElement: Returns the instance with the sign of the argument.
copySubMatrix(int[], int[], double[][]) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Copy a submatrix.
copySubMatrix(int[], int[], double[][]) - Method in interface org.apache.commons.math4.linear.RealMatrix: Copy a submatrix.
copySubMatrix(int[], int[], T[][]) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Copy a submatrix.
copySubMatrix(int[], int[], T[][]) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Copy a submatrix.
copySubMatrix(int, int, int, int, double[][]) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Copy a submatrix.
copySubMatrix(int, int, int, int, double[][]) - Method in interface org.apache.commons.math4.linear.RealMatrix: Copy a submatrix.
copySubMatrix(int, int, int, int, T[][]) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Copy a submatrix.
copySubMatrix(int, int, int, int, T[][]) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Copy a submatrix.
CorrelatedRandomVectorGenerator - Class in org.apache.commons.math4.random: A RandomVectorGenerator that generates vectors with with correlated components.
CorrelatedRandomVectorGenerator(double[], RealMatrix, double, NormalizedRandomGenerator) - Constructor for class org.apache.commons.math4.random.CorrelatedRandomVectorGenerator: Builds a correlated random vector generator from its mean vector and covariance matrix.
CorrelatedRandomVectorGenerator(RealMatrix, double, NormalizedRandomGenerator) - Constructor for class org.apache.commons.math4.random.CorrelatedRandomVectorGenerator: Builds a null mean random correlated vector generator from its covariance matrix.
correlation(double[], double[]) - Method in class org.apache.commons.math4.stat.correlation.KendallsCorrelation: Computes the Kendall's Tau rank correlation coefficient between the two arrays.
correlation(double[], double[]) - Method in class org.apache.commons.math4.stat.correlation.PearsonsCorrelation: Computes the Pearson's product-moment correlation coefficient between two arrays.
correlation(double[], double[]) - Method in class org.apache.commons.math4.stat.correlation.SpearmansCorrelation: Computes the Spearman's rank correlation coefficient between the two arrays.
cos() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Cosine operation.
cos() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Cosine operation.
cos() - Method in interface org.apache.commons.math4.RealFieldElement: Cosine operation.
cos() - Method in class org.apache.commons.math4.util.Decimal64: Cosine operation.
cos() - Method in class org.apache.commons.numbers.complex.Complex: Compute the cosine of this complex number.
cos(double) - Static method in class org.apache.commons.math4.util.FastMath: Cosine function.
cos(double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Compute cosine of a derivative structure.
Cos - Class in org.apache.commons.math4.analysis.function: Cosine function.
Cos() - Constructor for class org.apache.commons.math4.analysis.function.Cos
CosAngle - Class in org.apache.commons.numbers.arrays: Computes the cosine of the angle between two vectors.
CosAngle() - Constructor for class org.apache.commons.numbers.arrays.CosAngle
cosh() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Hyperbolic cosine operation.
cosh() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Hyperbolic cosine operation.
cosh() - Method in interface org.apache.commons.math4.RealFieldElement: Hyperbolic cosine operation.
cosh() - Method in class org.apache.commons.math4.util.Decimal64: Hyperbolic cosine operation.
cosh() - Method in class org.apache.commons.numbers.complex.Complex: Compute the hyperbolic cosine of this complex number.
cosh(double) - Static method in class org.apache.commons.math4.util.FastMath: Compute the hyperbolic cosine of a number.
cosh(double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Compute hyperbolic cosine of a derivative structure.
Cosh - Class in org.apache.commons.math4.analysis.function: Hyperbolic cosine function.
Cosh() - Constructor for class org.apache.commons.math4.analysis.function.Cosh
cosine(RealVector) - Method in class org.apache.commons.math4.linear.RealVector: Computes the cosine of the angle between this vector and the argument.
covariance(double[], double[]) - Method in class org.apache.commons.math4.stat.correlation.Covariance: Computes the covariance between the two arrays, using the bias-corrected formula.
covariance(double[], double[], boolean) - Method in class org.apache.commons.math4.stat.correlation.Covariance: Computes the covariance between the two arrays.
Covariance - Class in org.apache.commons.math4.stat.correlation: Computes covariances for pairs of arrays or columns of a matrix.
Covariance() - Constructor for class org.apache.commons.math4.stat.correlation.Covariance: Create a Covariance with no data
Covariance(double[][]) - Constructor for class org.apache.commons.math4.stat.correlation.Covariance: Create a Covariance matrix from a rectangular array whose columns represent covariates.
Covariance(double[][], boolean) - Constructor for class org.apache.commons.math4.stat.correlation.Covariance: Create a Covariance matrix from a rectangular array whose columns represent covariates.
Covariance(RealMatrix) - Constructor for class org.apache.commons.math4.stat.correlation.Covariance: Create a covariance matrix from a matrix whose columns represent covariates.
Covariance(RealMatrix, boolean) - Constructor for class org.apache.commons.math4.stat.correlation.Covariance: Create a covariance matrix from a matrix whose columns represent covariates.
COVARIANCE_MATRIX - org.apache.commons.math4.exception.util.LocalizedFormats
covarianceToCorrelation(RealMatrix) - Method in class org.apache.commons.math4.stat.correlation.PearsonsCorrelation: Derives a correlation matrix from a covariance matrix.
create() - Static method in class org.apache.commons.math4.util.IntegerSequence.Incrementor: Factory method that creates a default instance.
create() - Static method in class org.apache.commons.numbers.combinatorics.FactorialDouble: Creates an instance with no precomputed values.
create() - Static method in class org.apache.commons.numbers.combinatorics.LogFactorial: Creates an instance with no precomputed values.
create(K, V) - Static method in class org.apache.commons.math4.util.Pair: Convenience factory method that calls the constructor.
create(RealLinearOperator) - Static method in class org.apache.commons.math4.linear.JacobiPreconditioner: Creates a new instance of this class.
create(ProviderBuilder.RandomSourceInternal, Object, Object[]) - Static method in class org.apache.commons.rng.simple.internal.ProviderBuilder: Creates a RNG instance.
create(RandomSource) - Static method in enum org.apache.commons.rng.simple.RandomSource: Creates a random number generator with a random seed.
create(RandomSource, Object, Object...) - Static method in enum org.apache.commons.rng.simple.RandomSource: Creates a random number generator with the given seed.
createBlocksLayout(int, int) - Static method in class org.apache.commons.math4.linear.BlockRealMatrix: Create a data array in blocks layout.
createBlocksLayout(Field<T>, int, int) - Static method in class org.apache.commons.math4.linear.BlockFieldMatrix: Create a data array in blocks layout.
createChebyshevPolynomial(int) - Static method in class org.apache.commons.math4.analysis.polynomials.PolynomialsUtils: Create a Chebyshev polynomial of the first kind.
createColumnFieldMatrix(T[]) - Static method in class org.apache.commons.math4.linear.MatrixUtils: Creates a column FieldMatrix using the data from the input array.
createColumnRealMatrix(double[]) - Static method in class org.apache.commons.math4.linear.MatrixUtils: Creates a column RealMatrix using the data from the input array.
createConstant(double) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Create a constant compatible with instance order and number of parameters.
createConstant(double) - Static method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Factory method creating a constant.
createContributingStatistics() - Method in class org.apache.commons.math4.stat.descriptive.AggregateSummaryStatistics: Creates and returns a SummaryStatistics whose data will be aggregated with those of this AggregateSummaryStatistics.
createDataGenerator(Random) - Static method in class org.apache.commons.math4.random.RandomUtils: Wraps an instance of the JDK's Random class.
createDataGenerator(UniformRandomProvider) - Static method in class org.apache.commons.math4.random.RandomUtils
createFieldDiagonalMatrix(T[]) - Static method in class org.apache.commons.math4.linear.MatrixUtils: Returns a diagonal matrix with specified elements.
createFieldIdentityMatrix(Field<T>, int) - Static method in class org.apache.commons.math4.linear.MatrixUtils: Returns dimension x dimension identity matrix.
createFieldMatrix(Field<T>, int, int) - Static method in class org.apache.commons.math4.linear.MatrixUtils: Returns a FieldMatrix with specified dimensions.
createFieldMatrix(T[][]) - Static method in class org.apache.commons.math4.linear.MatrixUtils: Returns a FieldMatrix whose entries are the values in the the input array.
createFieldVector(T[]) - Static method in class org.apache.commons.math4.linear.MatrixUtils: Creates a FieldVector using the data from the input array.
createHermitePolynomial(int) - Static method in class org.apache.commons.math4.analysis.polynomials.PolynomialsUtils: Create a Hermite polynomial.
createInt() - Static method in class org.apache.commons.rng.simple.internal.SeedFactory: Creates a number for use as a seed.
createInt() - Static method in enum org.apache.commons.rng.simple.RandomSource: Creates a number for use as a seed.
createIntArray(int) - Static method in class org.apache.commons.rng.simple.internal.SeedFactory: Creates an array of numbers for use as a seed.
createIntArray(int) - Static method in enum org.apache.commons.rng.simple.RandomSource: Creates an array of numbers for use as a seed.
createInterval(int, int, double) - Method in class org.apache.commons.math4.stat.interval.AgrestiCoullInterval: Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
createInterval(int, int, double) - Method in interface org.apache.commons.math4.stat.interval.BinomialConfidenceInterval: Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
createInterval(int, int, double) - Method in class org.apache.commons.math4.stat.interval.ClopperPearsonInterval: Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
createInterval(int, int, double) - Method in class org.apache.commons.math4.stat.interval.NormalApproximationInterval: Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
createInterval(int, int, double) - Method in class org.apache.commons.math4.stat.interval.WilsonScoreInterval: Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
createJacobiPolynomial(int, int, int) - Static method in class org.apache.commons.math4.analysis.polynomials.PolynomialsUtils: Create a Jacobi polynomial.
createLaguerrePolynomial(int) - Static method in class org.apache.commons.math4.analysis.polynomials.PolynomialsUtils: Create a Laguerre polynomial.
createLegendrePolynomial(int) - Static method in class org.apache.commons.math4.analysis.polynomials.PolynomialsUtils: Create a Legendre polynomial.
createLong() - Static method in class org.apache.commons.rng.simple.internal.SeedFactory: Creates a number for use as a seed.
createLong() - Static method in enum org.apache.commons.rng.simple.RandomSource: Creates a number for use as a seed.
createLongArray(int) - Static method in class org.apache.commons.rng.simple.internal.SeedFactory: Creates an array of numbers for use as a seed.
createLongArray(int) - Static method in enum org.apache.commons.rng.simple.RandomSource: Creates an array of numbers for use as a seed.
createMatrix(int, int) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Create a new FieldMatrix<T> of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math4.linear.Array2DRowFieldMatrix: Create a new FieldMatrix<T> of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math4.linear.Array2DRowRealMatrix: Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Create a new FieldMatrix<T> of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math4.linear.DiagonalMatrix: Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Create a new FieldMatrix<T> of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math4.linear.OpenMapRealMatrix: Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in interface org.apache.commons.math4.linear.RealMatrix: Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math4.linear.SparseFieldMatrix: Create a new FieldMatrix<T> of the same type as the instance with the supplied row and column dimensions.
createPoissonSampler(UniformRandomProvider, double) - Method in class org.apache.commons.rng.sampling.distribution.PoissonSamplerCache: Creates a new Poisson sampler.
createRealDiagonalMatrix(double[]) - Static method in class org.apache.commons.math4.linear.MatrixUtils: Creates a diagonal matrix with the specified diagonal elements.
createRealIdentityMatrix(int) - Static method in class org.apache.commons.math4.linear.MatrixUtils: Returns dimension x dimension identity matrix.
createRealMatrix(double[][]) - Static method in class org.apache.commons.math4.linear.MatrixUtils: Returns a RealMatrix whose entries are the values in the the input array.
createRealMatrix(int, int) - Static method in class org.apache.commons.math4.linear.MatrixUtils: Returns a RealMatrix with specified dimensions.
createRealMatrixWithDiagonal(double[]) - Static method in class org.apache.commons.math4.linear.MatrixUtils: Creates a dense matrix with the specified diagonal elements.
createRealVector(double[]) - Static method in class org.apache.commons.math4.linear.MatrixUtils: Creates a RealVector using the data from the input array.
createRowFieldMatrix(T[]) - Static method in class org.apache.commons.math4.linear.MatrixUtils: Create a row FieldMatrix using the data from the input array.
createRowRealMatrix(double[]) - Static method in class org.apache.commons.math4.linear.MatrixUtils: Create a row RealMatrix using the data from the input array.
createSampler(UniformRandomProvider) - Method in class org.apache.commons.math4.distribution.AbstractIntegerDistribution: Creates a sampler.
createSampler(UniformRandomProvider) - Method in class org.apache.commons.math4.distribution.AbstractMultivariateRealDistribution: Creates a sampler.
createSampler(UniformRandomProvider) - Method in class org.apache.commons.math4.distribution.AbstractRealDistribution: Creates a sampler.
createSampler(UniformRandomProvider) - Method in class org.apache.commons.math4.distribution.EmpiricalDistribution: Creates a sampler.
createSampler(UniformRandomProvider) - Method in class org.apache.commons.math4.distribution.EnumeratedDistribution: Creates a EnumeratedDistribution.Sampler.
createSampler(UniformRandomProvider) - Method in class org.apache.commons.math4.distribution.EnumeratedIntegerDistribution: Creates a sampler.
createSampler(UniformRandomProvider) - Method in class org.apache.commons.math4.distribution.EnumeratedRealDistribution: Creates a sampler.
createSampler(UniformRandomProvider) - Method in class org.apache.commons.math4.distribution.MixtureMultivariateRealDistribution: Creates a sampler.
createSampler(UniformRandomProvider) - Method in class org.apache.commons.math4.distribution.MultivariateNormalDistribution: Creates a sampler.
createSampler(UniformRandomProvider) - Method in interface org.apache.commons.math4.distribution.MultivariateRealDistribution: Creates a sampler.
createSampler(UniformRandomProvider) - Method in class org.apache.commons.statistics.distribution.BetaDistribution: Creates a sampler.
createSampler(UniformRandomProvider) - Method in class org.apache.commons.statistics.distribution.ConstantContinuousDistribution: Creates a sampler.
createSampler(UniformRandomProvider) - Method in interface org.apache.commons.statistics.distribution.ContinuousDistribution: Creates a sampler.
createSampler(UniformRandomProvider) - Method in interface org.apache.commons.statistics.distribution.DiscreteDistribution: Creates a sampler.
createSampler(UniformRandomProvider) - Method in class org.apache.commons.statistics.distribution.ExponentialDistribution: Creates a sampler.
createSampler(UniformRandomProvider) - Method in class org.apache.commons.statistics.distribution.GammaDistribution: Creates a sampler.
createSampler(UniformRandomProvider) - Method in class org.apache.commons.statistics.distribution.LogNormalDistribution: Creates a sampler.
createSampler(UniformRandomProvider) - Method in class org.apache.commons.statistics.distribution.NormalDistribution: Creates a sampler.
createSampler(UniformRandomProvider) - Method in class org.apache.commons.statistics.distribution.ParetoDistribution: Creates a sampler.
createSampler(UniformRandomProvider) - Method in class org.apache.commons.statistics.distribution.PoissonDistribution: Creates a sampler.
createSampler(UniformRandomProvider) - Method in class org.apache.commons.statistics.distribution.UniformContinuousDistribution: Creates a sampler.
createSampler(UniformRandomProvider) - Method in class org.apache.commons.statistics.distribution.UniformDiscreteDistribution: Creates a sampler.
createSampler(UniformRandomProvider) - Method in class org.apache.commons.statistics.distribution.ZipfDistribution: Creates a sampler.
createVariable(int, double) - Static method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Factory method creating an independent variable.
CROSSING_BOUNDARY_LOOPS - org.apache.commons.math4.exception.util.LocalizedFormats
CROSSOVER_RATE - org.apache.commons.math4.exception.util.LocalizedFormats
CUMULATIVE_PROBABILITY_RETURNED_NAN - org.apache.commons.math4.exception.util.LocalizedFormats
cumulativeProbability(double) - Method in class org.apache.commons.math4.distribution.EmpiricalDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.apache.commons.math4.distribution.EnumeratedRealDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.BetaDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.CauchyDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.ChiSquaredDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.ConstantContinuousDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in interface org.apache.commons.statistics.distribution.ContinuousDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.ExponentialDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.FDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.GammaDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.GumbelDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.LaplaceDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.LevyDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.LogisticDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.LogNormalDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.NakagamiDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.NormalDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.ParetoDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.TDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.TriangularDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.UniformContinuousDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.WeibullDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(int) - Method in class org.apache.commons.math4.distribution.EnumeratedIntegerDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(int) - Method in class org.apache.commons.statistics.distribution.BinomialDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(int) - Method in interface org.apache.commons.statistics.distribution.DiscreteDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(int) - Method in class org.apache.commons.statistics.distribution.GeometricDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(int) - Method in class org.apache.commons.statistics.distribution.HypergeometricDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(int) - Method in class org.apache.commons.statistics.distribution.PascalDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(int) - Method in class org.apache.commons.statistics.distribution.PoissonDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(int) - Method in class org.apache.commons.statistics.distribution.UniformDiscreteDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
cumulativeProbability(int) - Method in class org.apache.commons.statistics.distribution.ZipfDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
current(RandomSource) - Static method in class org.apache.commons.rng.simple.ThreadLocalRandomSource: Returns the current thread's copy of the given source.

D

Decimal64 - Class in org.apache.commons.math4.util: This class wraps a double value in an object.
Decimal64(double) - Constructor for class org.apache.commons.math4.util.Decimal64: Creates a new instance of this class.
Decimal64Field - Class in org.apache.commons.math4.util: The field of double precision floating-point numbers.
decompose(double[][]) - Method in class org.apache.commons.math4.linear.QRDecomposition: Decompose matrix.
decompose(double[][]) - Method in class org.apache.commons.math4.linear.RRQRDecomposition: Decompose matrix.
DecompositionSolver - Interface in org.apache.commons.math4.linear: Interface handling decomposition algorithms that can solve A × X = B.
DECREASING - org.apache.commons.math4.util.MathArrays.OrderDirection: Constant for decreasing direction.
decrementExact(int) - Static method in class org.apache.commons.math4.util.FastMath: Decrement a number, detecting overflows.
decrementExact(long) - Static method in class org.apache.commons.math4.util.FastMath: Decrement a number, detecting overflows.
DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math4.analysis.integration.BaseAbstractUnivariateIntegrator: Default absolute accuracy.
DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math4.analysis.solvers.BaseSecantSolver: Default absolute accuracy.
DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math4.analysis.solvers.SecantSolver: Default absolute accuracy.
DEFAULT_ABSOLUTE_POSITIVITY_THRESHOLD - Static variable in class org.apache.commons.math4.linear.CholeskyDecomposition: Default threshold below which diagonal elements are considered null and matrix not positive definite.
DEFAULT_ACCURACY - Static variable in class org.apache.commons.math4.analysis.interpolation.LoessInterpolator: Default value for accuracy.
DEFAULT_BANDWIDTH - Static variable in class org.apache.commons.math4.analysis.interpolation.LoessInterpolator: Default value of the bandwidth parameter.
DEFAULT_BIN_COUNT - Static variable in class org.apache.commons.math4.distribution.EmpiricalDistribution: Default bin count
DEFAULT_EXTEND - Static variable in class org.apache.commons.math4.analysis.interpolation.UnivariatePeriodicInterpolator: Default number of extension points of the samples array.
DEFAULT_FORMAT - Static variable in class org.apache.commons.math4.linear.MatrixUtils: The default format for RealMatrix objects.
DEFAULT_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math4.analysis.integration.BaseAbstractUnivariateIntegrator: Default maximal iteration count.
DEFAULT_MIN_ITERATIONS_COUNT - Static variable in class org.apache.commons.math4.analysis.integration.BaseAbstractUnivariateIntegrator: Default minimal iteration count.
DEFAULT_NAN_STRATEGY - Static variable in class org.apache.commons.math4.stat.ranking.NaturalRanking: default NaN strategy
DEFAULT_RELATIVE_ACCURACY - Static variable in class org.apache.commons.math4.analysis.integration.BaseAbstractUnivariateIntegrator: Default relative accuracy.
DEFAULT_RELATIVE_SYMMETRY_THRESHOLD - Static variable in class org.apache.commons.math4.linear.CholeskyDecomposition: Default threshold above which off-diagonal elements are considered too different and matrix not symmetric.
DEFAULT_ROBUSTNESS_ITERS - Static variable in class org.apache.commons.math4.analysis.interpolation.LoessInterpolator: Default value of the number of robustness iterations.
DEFAULT_TIES_STRATEGY - Static variable in class org.apache.commons.math4.stat.ranking.NaturalRanking: default ties strategy
DEFAULT_ZERO_TOLERANCE - Static variable in class org.apache.commons.math4.linear.OpenMapRealVector: Default Tolerance for having a value considered zero.
DefaultFieldMatrixChangingVisitor<T extends FieldElement<T>> - Class in org.apache.commons.math4.linear: Default implementation of the FieldMatrixChangingVisitor interface.
DefaultFieldMatrixChangingVisitor(T) - Constructor for class org.apache.commons.math4.linear.DefaultFieldMatrixChangingVisitor: Build a new instance.
DefaultFieldMatrixPreservingVisitor<T extends FieldElement<T>> - Class in org.apache.commons.math4.linear: Default implementation of the FieldMatrixPreservingVisitor interface.
DefaultFieldMatrixPreservingVisitor(T) - Constructor for class org.apache.commons.math4.linear.DefaultFieldMatrixPreservingVisitor: Build a new instance.
DefaultIterativeLinearSolverEvent - Class in org.apache.commons.math4.linear: A default concrete implementation of the abstract class IterativeLinearSolverEvent.
DefaultIterativeLinearSolverEvent(Object, int, RealVector, RealVector, double) - Constructor for class org.apache.commons.math4.linear.DefaultIterativeLinearSolverEvent: Creates a new instance of this class.
DefaultIterativeLinearSolverEvent(Object, int, RealVector, RealVector, RealVector, double) - Constructor for class org.apache.commons.math4.linear.DefaultIterativeLinearSolverEvent: Creates a new instance of this class.
DefaultRealMatrixChangingVisitor - Class in org.apache.commons.math4.linear: Default implementation of the RealMatrixChangingVisitor interface.
DefaultRealMatrixChangingVisitor() - Constructor for class org.apache.commons.math4.linear.DefaultRealMatrixChangingVisitor
DefaultRealMatrixPreservingVisitor - Class in org.apache.commons.math4.linear: Default implementation of the RealMatrixPreservingVisitor interface.
DefaultRealMatrixPreservingVisitor() - Constructor for class org.apache.commons.math4.linear.DefaultRealMatrixPreservingVisitor
DefaultTransformer - Class in org.apache.commons.math4.util: A Default NumberTransformer for java.lang.Numbers and Numeric Strings.
DefaultTransformer() - Constructor for class org.apache.commons.math4.util.DefaultTransformer
degree() - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunction: Returns the degree of the polynomial.
degree() - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunctionLagrangeForm: Returns the degree of the polynomial.
degree() - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunctionNewtonForm: Returns the degree of the polynomial.
DEGREES_OF_FREEDOM - org.apache.commons.math4.exception.util.LocalizedFormats
DENOMINATOR - org.apache.commons.math4.exception.util.LocalizedFormats
DENOMINATOR_FORMAT - org.apache.commons.math4.exception.util.LocalizedFormats
density(double) - Method in class org.apache.commons.math4.distribution.EmpiricalDistribution: Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.apache.commons.math4.distribution.EnumeratedRealDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
density(double) - Method in class org.apache.commons.statistics.distribution.BetaDistribution: Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.apache.commons.statistics.distribution.CauchyDistribution: Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.apache.commons.statistics.distribution.ChiSquaredDistribution: Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.apache.commons.statistics.distribution.ConstantContinuousDistribution: Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in interface org.apache.commons.statistics.distribution.ContinuousDistribution: Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.apache.commons.statistics.distribution.ExponentialDistribution: Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.apache.commons.statistics.distribution.FDistribution: Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.apache.commons.statistics.distribution.GammaDistribution: Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.apache.commons.statistics.distribution.GumbelDistribution: Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.apache.commons.statistics.distribution.LaplaceDistribution: Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.apache.commons.statistics.distribution.LevyDistribution: Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.apache.commons.statistics.distribution.LogisticDistribution: Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.apache.commons.statistics.distribution.LogNormalDistribution: Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.apache.commons.statistics.distribution.NakagamiDistribution: Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.apache.commons.statistics.distribution.NormalDistribution: Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.apache.commons.statistics.distribution.ParetoDistribution: Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.apache.commons.statistics.distribution.TDistribution: Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.apache.commons.statistics.distribution.TriangularDistribution: Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.apache.commons.statistics.distribution.UniformContinuousDistribution: Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double) - Method in class org.apache.commons.statistics.distribution.WeibullDistribution: Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double[]) - Method in class org.apache.commons.math4.distribution.MixtureMultivariateRealDistribution: Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double[]) - Method in class org.apache.commons.math4.distribution.MultivariateNormalDistribution: Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
density(double[]) - Method in interface org.apache.commons.math4.distribution.MultivariateRealDistribution: Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
derivative(MultivariateDifferentiableFunction, int[]) - Static method in class org.apache.commons.math4.analysis.FunctionUtils: Convert an MultivariateDifferentiableFunction to an MultivariateFunction computing n^th order derivative.
derivative(UnivariateDifferentiableFunction, int) - Static method in class org.apache.commons.math4.analysis.FunctionUtils: Convert an UnivariateDifferentiableFunction to an UnivariateFunction computing n^th order derivative.
derivatives(T, int) - Method in class org.apache.commons.math4.analysis.interpolation.FieldHermiteInterpolator: Interpolate value and first derivatives at a specified abscissa.
DerivativeStructure - Class in org.apache.commons.math4.analysis.differentiation: Class representing both the value and the differentials of a function.
DerivativeStructure(double, DerivativeStructure, double, DerivativeStructure) - Constructor for class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Linear combination constructor.
DerivativeStructure(double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure) - Constructor for class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Linear combination constructor.
DerivativeStructure(double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure) - Constructor for class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Linear combination constructor.
DerivativeStructure(int, int) - Constructor for class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Build an instance with all values and derivatives set to 0.
DerivativeStructure(int, int, double) - Constructor for class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Build an instance representing a constant value.
DerivativeStructure(int, int, double...) - Constructor for class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Build an instance from all its derivatives.
DerivativeStructure(int, int, int, double) - Constructor for class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Build an instance representing a variable.
DescriptiveStatistics - Class in org.apache.commons.math4.stat.descriptive: Maintains a dataset of values of a single variable and computes descriptive statistics based on stored data.
DescriptiveStatistics() - Constructor for class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Construct a DescriptiveStatistics instance with an infinite window.
DescriptiveStatistics(double[]) - Constructor for class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Construct a DescriptiveStatistics instance with an infinite window and the initial data values in initialDoubleArray.
DescriptiveStatistics(int) - Constructor for class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Construct a DescriptiveStatistics instance with the specified window.
DescriptiveStatistics(Double[]) - Constructor for class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Construct a DescriptiveStatistics instance with an infinite window and the initial data values in initialDoubleArray.
DescriptiveStatistics(DescriptiveStatistics) - Constructor for class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Copy constructor.
deserializeRealMatrix(Object, String, ObjectInputStream) - Static method in class org.apache.commons.math4.linear.MatrixUtils: Deserialize a RealMatrix field in a class.
deserializeRealVector(Object, String, ObjectInputStream) - Static method in class org.apache.commons.math4.linear.MatrixUtils: Deserialize a RealVector field in a class.
df(double, double, double, double) - Method in class org.apache.commons.math4.stat.inference.TTest: Computes approximate degrees of freedom for 2-sample t-test.
DiagonalMatrix - Class in org.apache.commons.math4.linear: Implementation of a diagonal matrix.
DiagonalMatrix(double[]) - Constructor for class org.apache.commons.math4.linear.DiagonalMatrix: Creates a matrix using the input array as the underlying data.
DiagonalMatrix(double[], boolean) - Constructor for class org.apache.commons.math4.linear.DiagonalMatrix: Creates a matrix using the input array as the underlying data.
DiagonalMatrix(int) - Constructor for class org.apache.commons.math4.linear.DiagonalMatrix: Creates a matrix with the supplied dimension.
DIFFERENT_ORIG_AND_PERMUTED_DATA - org.apache.commons.math4.exception.util.LocalizedFormats
DIFFERENT_ROWS_LENGTHS - org.apache.commons.math4.exception.util.LocalizedFormats
differentiate(double[]) - Static method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunction: Returns the coefficients of the derivative of the polynomial with the given coefficients.
differentiate(UnivariateFunction) - Method in class org.apache.commons.math4.analysis.differentiation.FiniteDifferencesDifferentiator: Create an implementation of a differential from a regular function.
differentiate(UnivariateFunction) - Method in interface org.apache.commons.math4.analysis.differentiation.UnivariateFunctionDifferentiator: Create an implementation of a differential from a regular function.
differentiate(UnivariateMatrixFunction) - Method in class org.apache.commons.math4.analysis.differentiation.FiniteDifferencesDifferentiator: Create an implementation of a differential from a regular matrix function.
differentiate(UnivariateMatrixFunction) - Method in interface org.apache.commons.math4.analysis.differentiation.UnivariateMatrixFunctionDifferentiator: Create an implementation of a differential from a regular matrix function.
differentiate(UnivariateVectorFunction) - Method in class org.apache.commons.math4.analysis.differentiation.FiniteDifferencesDifferentiator: Create an implementation of a differential from a regular vector function.
differentiate(UnivariateVectorFunction) - Method in interface org.apache.commons.math4.analysis.differentiation.UnivariateVectorFunctionDifferentiator: Create an implementation of a differential from a regular vector function.
Digamma - Class in org.apache.commons.numbers.gamma: Digamma function.
Digamma() - Constructor for class org.apache.commons.numbers.gamma.Digamma
DIGEST_NOT_INITIALIZED - org.apache.commons.math4.exception.util.LocalizedFormats
DIMENSION - org.apache.commons.math4.exception.util.LocalizedFormats
DimensionMismatchException - Exception in org.apache.commons.math4.exception: Exception to be thrown when two dimensions differ.
DimensionMismatchException(int, int) - Constructor for exception org.apache.commons.math4.exception.DimensionMismatchException: Construct an exception from the mismatched dimensions.
DimensionMismatchException(Localizable, int, int) - Constructor for exception org.apache.commons.math4.exception.DimensionMismatchException: Construct an exception from the mismatched dimensions.
DIMENSIONS_MISMATCH - org.apache.commons.math4.exception.util.LocalizedFormats
DIMENSIONS_MISMATCH_2x2 - org.apache.commons.math4.exception.util.LocalizedFormats
DIMENSIONS_MISMATCH_SIMPLE - org.apache.commons.math4.exception.util.LocalizedFormats
discardFrontElements(int) - Method in class org.apache.commons.math4.util.ResizableDoubleArray: Discards the i initial elements of the array.
discardMostRecentElements(int) - Method in class org.apache.commons.math4.util.ResizableDoubleArray: Discards the i last elements of the array.
DISCRETE_CUMULATIVE_PROBABILITY_RETURNED_NAN - org.apache.commons.math4.exception.util.LocalizedFormats
DiscreteDistribution - Interface in org.apache.commons.statistics.distribution: Interface for distributions on the integers.
DiscreteDistribution.Sampler - Interface in org.apache.commons.statistics.distribution: Sampling functionality.
DiscreteIntIntSampler - Class in io.virtdata.discrete.common
DiscreteIntIntSampler(DoubleToIntFunction, boolean) - Constructor for class io.virtdata.discrete.common.DiscreteIntIntSampler
DiscreteIntLongSampler - Class in io.virtdata.discrete.common
DiscreteIntLongSampler(DoubleToIntFunction, boolean) - Constructor for class io.virtdata.discrete.common.DiscreteIntLongSampler
DiscreteInverseCumulativeProbabilityFunction - Interface in org.apache.commons.rng.sampling.distribution: Interface for a discrete distribution that can be sampled using the inversion method.
DiscreteLongIntSampler - Class in io.virtdata.discrete.common
DiscreteLongIntSampler(DoubleToIntFunction, boolean) - Constructor for class io.virtdata.discrete.common.DiscreteLongIntSampler
DiscreteLongLongSampler - Class in io.virtdata.discrete.common
DiscreteLongLongSampler(DoubleToIntFunction, boolean) - Constructor for class io.virtdata.discrete.common.DiscreteLongLongSampler
DiscreteProbabilityCollectionSampler<T> - Class in org.apache.commons.rng.sampling: Sampling from a collection of items with user-defined probabilities.
DiscreteProbabilityCollectionSampler(UniformRandomProvider, List<T>, double[]) - Constructor for class org.apache.commons.rng.sampling.DiscreteProbabilityCollectionSampler: Creates a sampler.
DiscreteProbabilityCollectionSampler(UniformRandomProvider, Map<T, Double>) - Constructor for class org.apache.commons.rng.sampling.DiscreteProbabilityCollectionSampler: Creates a sampler.
DiscreteSampler - Interface in org.apache.commons.rng.sampling.distribution: Sampler that generates values of type int.
DiscreteUniformSampler - Class in org.apache.commons.rng.sampling.distribution: Discrete uniform distribution sampler.
DiscreteUniformSampler(UniformRandomProvider, int, int) - Constructor for class org.apache.commons.rng.sampling.distribution.DiscreteUniformSampler
distance(double[], double[]) - Static method in class org.apache.commons.math4.util.MathArrays: Calculates the L₂ (Euclidean) distance between two points.
distance(int[], int[]) - Static method in class org.apache.commons.math4.util.MathArrays: Calculates the L₂ (Euclidean) distance between two points.
distance1(double[], double[]) - Static method in class org.apache.commons.math4.util.MathArrays: Calculates the L₁ (sum of abs) distance between two points.
distance1(int[], int[]) - Static method in class org.apache.commons.math4.util.MathArrays: Calculates the L₁ (sum of abs) distance between two points.
distanceInf(double[], double[]) - Static method in class org.apache.commons.math4.util.MathArrays: Calculates the L_∞ (max of abs) distance between two points.
distanceInf(int[], int[]) - Static method in class org.apache.commons.math4.util.MathArrays: Calculates the L_∞ (max of abs) distance between two points.
DISTRIBUTION_NOT_LOADED - org.apache.commons.math4.exception.util.LocalizedFormats
divide(double) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: '÷' operator.
divide(double) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: '÷' operator.
divide(double) - Method in interface org.apache.commons.math4.RealFieldElement: '÷' operator.
divide(double) - Method in class org.apache.commons.math4.util.Decimal64: '÷' operator.
divide(double) - Method in class org.apache.commons.numbers.complex.Complex: Returns a Complex whose value is (this / divisor), with divisor interpreted as a real number.
divide(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Perform division of two derivative structures.
divide(int) - Method in class org.apache.commons.math4.fraction.BigFraction: Divide the value of this fraction by the passed int, ie this * 1 / i, returning the result in reduced form.
divide(int) - Method in class org.apache.commons.math4.fraction.Fraction: Divide the fraction by an integer.
divide(int) - Method in class org.apache.commons.numbers.fraction.BigFraction: Divide the value of this fraction by the passed int, ie this * 1 / i, returning the result in reduced form.
divide(int) - Method in class org.apache.commons.numbers.fraction.Fraction: Divide the fraction by an integer.
divide(long) - Method in class org.apache.commons.math4.fraction.BigFraction: Divide the value of this fraction by the passed long, ie this * 1 / l, returning the result in reduced form.
divide(long) - Method in class org.apache.commons.numbers.fraction.BigFraction: Divide the value of this fraction by the passed long, ie this * 1 / l, returning the result in reduced form.
divide(BigInteger) - Method in class org.apache.commons.math4.fraction.BigFraction: Divide the value of this fraction by the passed BigInteger, ie this * 1 / bg, returning the result in reduced form.
divide(BigInteger) - Method in class org.apache.commons.numbers.fraction.BigFraction: Divide the value of this fraction by the passed BigInteger, ie this * 1 / bg, returning the result in reduced form.
divide(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Compute this ÷ a.
divide(SparseGradient) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Compute this ÷ a.
divide(BigFraction) - Method in class org.apache.commons.math4.fraction.BigFraction: Divide the value of this fraction by another, returning the result in reduced form.
divide(Fraction) - Method in class org.apache.commons.math4.fraction.Fraction: Divide the value of this fraction by another.
divide(BigReal) - Method in class org.apache.commons.math4.util.BigReal: Compute this ÷ a.
divide(Decimal64) - Method in class org.apache.commons.math4.util.Decimal64: Compute this ÷ a.
divide(Complex) - Method in class org.apache.commons.numbers.complex.Complex: Returns a Complex whose value is (this / divisor).
divide(BigFraction) - Method in class org.apache.commons.numbers.fraction.BigFraction: Divide the value of this fraction by another, returning the result in reduced form.
divide(Fraction) - Method in class org.apache.commons.numbers.fraction.Fraction: Divide the value of this fraction by another.
divide(T) - Method in interface org.apache.commons.math4.FieldElement: Compute this ÷ a.
divide(T) - Method in interface org.apache.commons.numbers.core.NativeOperators: Binary division.
Divide - Class in org.apache.commons.math4.analysis.function: Divide the first operand by the second.
Divide() - Constructor for class org.apache.commons.math4.analysis.function.Divide
DividedDifferenceInterpolator - Class in org.apache.commons.math4.analysis.interpolation: Implements the Divided Difference Algorithm for interpolation of real univariate functions.
DividedDifferenceInterpolator() - Constructor for class org.apache.commons.math4.analysis.interpolation.DividedDifferenceInterpolator
divideUnsigned(int, int) - Static method in class org.apache.commons.numbers.core.ArithmeticUtils: Returns the unsigned quotient of dividing the first argument by the second where each argument and the result is interpreted as an unsigned value.
divideUnsigned(long, long) - Static method in class org.apache.commons.numbers.core.ArithmeticUtils: Returns the unsigned quotient of dividing the first argument by the second where each argument and the result is interpreted as an unsigned value.
doIntegrate() - Method in class org.apache.commons.math4.analysis.integration.BaseAbstractUnivariateIntegrator: Method for implementing actual integration algorithms in derived classes.
doIntegrate() - Method in class org.apache.commons.math4.analysis.integration.IterativeLegendreGaussIntegrator: Method for implementing actual integration algorithms in derived classes.
doIntegrate() - Method in class org.apache.commons.math4.analysis.integration.MidPointIntegrator: Method for implementing actual integration algorithms in derived classes.
doIntegrate() - Method in class org.apache.commons.math4.analysis.integration.RombergIntegrator: Method for implementing actual integration algorithms in derived classes.
doIntegrate() - Method in class org.apache.commons.math4.analysis.integration.SimpsonIntegrator: Method for implementing actual integration algorithms in derived classes.
doIntegrate() - Method in class org.apache.commons.math4.analysis.integration.TrapezoidIntegrator: Method for implementing actual integration algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math4.analysis.solvers.BaseAbstractUnivariateSolver: Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math4.analysis.solvers.BaseSecantSolver: Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math4.analysis.solvers.BisectionSolver: Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math4.analysis.solvers.BracketingNthOrderBrentSolver: Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math4.analysis.solvers.BrentSolver: Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math4.analysis.solvers.LaguerreSolver: Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math4.analysis.solvers.MullerSolver: Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math4.analysis.solvers.MullerSolver2: Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math4.analysis.solvers.NewtonRaphsonSolver: Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math4.analysis.solvers.RiddersSolver: Method for implementing actual optimization algorithms in derived classes.
doSolve() - Method in class org.apache.commons.math4.analysis.solvers.SecantSolver: Method for implementing actual optimization algorithms in derived classes.
dotProduct(ArrayFieldVector<T>) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Compute the dot product.
dotProduct(FieldVector<T>) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Compute the dot product.
dotProduct(FieldVector<T>) - Method in interface org.apache.commons.math4.linear.FieldVector: Compute the dot product.
dotProduct(FieldVector<T>) - Method in class org.apache.commons.math4.linear.SparseFieldVector: Compute the dot product.
dotProduct(RealVector) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Compute the dot product of this vector with v.
dotProduct(RealVector) - Method in class org.apache.commons.math4.linear.RealVector: Compute the dot product of this vector with v.
DoubleArray - Interface in org.apache.commons.math4.util: Provides a standard interface for double arrays.
doubleValue() - Method in class org.apache.commons.math4.fraction.BigFraction: Gets the fraction as a double.
doubleValue() - Method in class org.apache.commons.math4.fraction.Fraction: Gets the fraction as a double.
doubleValue() - Method in class org.apache.commons.math4.util.BigReal: Get the double value corresponding to the instance.
doubleValue() - Method in class org.apache.commons.math4.util.Decimal64
doubleValue() - Method in class org.apache.commons.numbers.fraction.BigFraction: Gets the fraction as a double.
doubleValue() - Method in class org.apache.commons.numbers.fraction.Fraction: Gets the fraction as a double.
DOWNSIDE - org.apache.commons.math4.stat.descriptive.moment.SemiVariance.Direction: The DOWNSIDE Direction is used to specify that the observations below the cutoff point will be used to calculate SemiVariance
DOWNSIDE_VARIANCE - Static variable in class org.apache.commons.math4.stat.descriptive.moment.SemiVariance: The DOWNSIDE Direction is used to specify that the observations below the cutoff point will be used to calculate SemiVariance
DSCompiler - Class in org.apache.commons.math4.analysis.differentiation: Class holding "compiled" computation rules for derivative structures.
DummyLocalizable - Class in org.apache.commons.math4.exception.util: Dummy implementation of the Localizable interface, without localization.
DummyLocalizable(String) - Constructor for class org.apache.commons.math4.exception.util.DummyLocalizable: Simple constructor.
DUPLICATED_ABSCISSA_DIVISION_BY_ZERO - org.apache.commons.math4.exception.util.LocalizedFormats

E

E - Static variable in class org.apache.commons.math4.util.FastMath: Napier's constant e, base of the natural logarithm.
ebeAdd(double[], double[]) - Static method in class org.apache.commons.math4.util.MathArrays: Creates an array whose contents will be the element-by-element addition of the arguments.
ebeDivide(double[], double[]) - Static method in class org.apache.commons.math4.util.MathArrays: Creates an array whose contents will be the element-by-element division of the first argument by the second.
ebeDivide(ArrayFieldVector<T>) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Element-by-element division.
ebeDivide(FieldVector<T>) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Element-by-element division.
ebeDivide(FieldVector<T>) - Method in interface org.apache.commons.math4.linear.FieldVector: Element-by-element division.
ebeDivide(FieldVector<T>) - Method in class org.apache.commons.math4.linear.SparseFieldVector: Element-by-element division.
ebeDivide(RealVector) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Element-by-element division.
ebeDivide(RealVector) - Method in class org.apache.commons.math4.linear.OpenMapRealVector: Element-by-element division.
ebeDivide(RealVector) - Method in class org.apache.commons.math4.linear.RealVector: Element-by-element division.
ebeMultiply(double[], double[]) - Static method in class org.apache.commons.math4.util.MathArrays: Creates an array whose contents will be the element-by-element multiplication of the arguments.
ebeMultiply(ArrayFieldVector<T>) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Element-by-element multiplication.
ebeMultiply(FieldVector<T>) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Element-by-element multiplication.
ebeMultiply(FieldVector<T>) - Method in interface org.apache.commons.math4.linear.FieldVector: Element-by-element multiplication.
ebeMultiply(FieldVector<T>) - Method in class org.apache.commons.math4.linear.SparseFieldVector: Element-by-element multiplication.
ebeMultiply(RealVector) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Element-by-element multiplication.
ebeMultiply(RealVector) - Method in class org.apache.commons.math4.linear.OpenMapRealVector: Element-by-element multiplication.
ebeMultiply(RealVector) - Method in class org.apache.commons.math4.linear.RealVector: Element-by-element multiplication.
ebeSubtract(double[], double[]) - Static method in class org.apache.commons.math4.util.MathArrays: Creates an array whose contents will be the element-by-element subtraction of the second argument from the first.
EDGE_CONNECTED_TO_ONE_FACET - org.apache.commons.math4.exception.util.LocalizedFormats
EigenDecomposition - Class in org.apache.commons.math4.linear: Calculates the eigen decomposition of a real matrix.
EigenDecomposition(double[], double[]) - Constructor for class org.apache.commons.math4.linear.EigenDecomposition: Calculates the eigen decomposition of the symmetric tridiagonal matrix.
EigenDecomposition(RealMatrix) - Constructor for class org.apache.commons.math4.linear.EigenDecomposition: Calculates the eigen decomposition of the given real matrix.
ELITISM_RATE - org.apache.commons.math4.exception.util.LocalizedFormats
EmpiricalDistribution - Class in org.apache.commons.math4.distribution: Represents an empirical probability distribution -- a probability distribution derived from observed data without making any assumptions about the functional form of the population distribution that the data come from.
EmpiricalDistribution() - Constructor for class org.apache.commons.math4.distribution.EmpiricalDistribution: Creates a new EmpiricalDistribution with the default bin count.
EmpiricalDistribution(int) - Constructor for class org.apache.commons.math4.distribution.EmpiricalDistribution: Creates a new EmpiricalDistribution with the specified bin count.
EMPTY_CLUSTER_IN_K_MEANS - org.apache.commons.math4.exception.util.LocalizedFormats
EMPTY_INTERPOLATION_SAMPLE - org.apache.commons.math4.exception.util.LocalizedFormats
EMPTY_POLYNOMIALS_COEFFICIENTS_ARRAY - org.apache.commons.math4.exception.util.LocalizedFormats
EMPTY_SELECTED_COLUMN_INDEX_ARRAY - org.apache.commons.math4.exception.util.LocalizedFormats
EMPTY_SELECTED_ROW_INDEX_ARRAY - org.apache.commons.math4.exception.util.LocalizedFormats
EMPTY_STRING_FOR_IMAGINARY_CHARACTER - org.apache.commons.math4.exception.util.LocalizedFormats
end() - Method in class org.apache.commons.math4.linear.DefaultFieldMatrixChangingVisitor: End visiting a matrix.
end() - Method in class org.apache.commons.math4.linear.DefaultFieldMatrixPreservingVisitor: End visiting a matrix.
end() - Method in class org.apache.commons.math4.linear.DefaultRealMatrixChangingVisitor: End visiting a matrix.
end() - Method in class org.apache.commons.math4.linear.DefaultRealMatrixPreservingVisitor: End visiting a matrix.
end() - Method in interface org.apache.commons.math4.linear.FieldMatrixChangingVisitor: End visiting a matrix.
end() - Method in interface org.apache.commons.math4.linear.FieldMatrixPreservingVisitor: End visiting a matrix.
end() - Method in interface org.apache.commons.math4.linear.FieldVectorChangingVisitor: End visiting a vector.
end() - Method in interface org.apache.commons.math4.linear.FieldVectorPreservingVisitor: End visiting a vector.
end() - Method in interface org.apache.commons.math4.linear.RealMatrixChangingVisitor: End visiting a matrix.
end() - Method in interface org.apache.commons.math4.linear.RealMatrixPreservingVisitor: End visiting a matrix.
end() - Method in interface org.apache.commons.math4.linear.RealVectorChangingVisitor: End visiting a vector.
end() - Method in interface org.apache.commons.math4.linear.RealVectorPreservingVisitor: End visiting a vector.
ENDPOINTS_NOT_AN_INTERVAL - org.apache.commons.math4.exception.util.LocalizedFormats
Entry() - Constructor for class org.apache.commons.math4.linear.RealVector.Entry: Simple constructor.
entrySetIterator() - Method in class org.apache.commons.math4.stat.Frequency: Return an Iterator over the set of keys and values that have been added.
Enumerated - Class in io.virtdata.continuous.int_double: Creates a probability density given the values and optional weights provided, in "value:weight value:weight ..." form.
Enumerated - Class in io.virtdata.continuous.long_double
Enumerated(String, String...) - Constructor for class io.virtdata.continuous.int_double.Enumerated
Enumerated(String, String...) - Constructor for class io.virtdata.continuous.long_double.Enumerated
EnumeratedAutoDocsInfo - Class in io.virtdata.continuous.int_double
EnumeratedAutoDocsInfo - Class in io.virtdata.continuous.long_double
EnumeratedAutoDocsInfo() - Constructor for class io.virtdata.continuous.int_double.EnumeratedAutoDocsInfo
EnumeratedAutoDocsInfo() - Constructor for class io.virtdata.continuous.long_double.EnumeratedAutoDocsInfo
EnumeratedDistribution<T> - Class in org.apache.commons.math4.distribution: A generic implementation of a discrete probability distribution (Wikipedia) over a finite sample space, based on an enumerated list of <value, probability> pairs.
EnumeratedDistribution(List<Pair<T, Double>>) - Constructor for class org.apache.commons.math4.distribution.EnumeratedDistribution: Create an enumerated distribution using the given random number generator and probability mass function enumeration.
EnumeratedDistribution.Sampler - Class in org.apache.commons.math4.distribution: Sampler functionality.
EnumeratedIntegerDistribution - Class in org.apache.commons.math4.distribution: Implementation of an integer-valued EnumeratedDistribution.
EnumeratedIntegerDistribution(int[]) - Constructor for class org.apache.commons.math4.distribution.EnumeratedIntegerDistribution: Create a discrete integer-valued distribution from the input data.
EnumeratedIntegerDistribution(int[], double[]) - Constructor for class org.apache.commons.math4.distribution.EnumeratedIntegerDistribution: Create a discrete distribution.
EnumeratedRealDistribution - Class in org.apache.commons.math4.distribution: Implementation of a real-valued EnumeratedDistribution.
EnumeratedRealDistribution(double[]) - Constructor for class org.apache.commons.math4.distribution.EnumeratedRealDistribution: Creates a discrete real-valued distribution from the input data.
EnumeratedRealDistribution(double[], double[]) - Constructor for class org.apache.commons.math4.distribution.EnumeratedRealDistribution: Create a discrete real-valued distribution using the given random number generator and probability mass function enumeration.
EPSILON - Static variable in class org.apache.commons.numbers.core.Precision: Largest double-precision floating-point number such that 1 + EPSILON is numerically equal to 1.
EQUAL_VERTICES_IN_SIMPLEX - org.apache.commons.math4.exception.util.LocalizedFormats
equals(double[], double[]) - Static method in class org.apache.commons.math4.util.MathArrays: Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by Precision.equals(double,double).
equals(double, double) - Static method in class org.apache.commons.math4.util.MathUtils: Returns true if the values are equal according to semantics of Double.equals(Object).
equals(double, double) - Static method in class org.apache.commons.numbers.core.Precision: Returns true iff they are equal as defined by equals(x, y, 1).
equals(double, double, double) - Static method in class org.apache.commons.numbers.core.Precision: Returns true if there is no double value strictly between the arguments or the difference between them is within the range of allowed error (inclusive).
equals(double, double, int) - Static method in class org.apache.commons.numbers.core.Precision: Returns true if the arguments are equal or within the range of allowed error (inclusive).
equals(float[], float[]) - Static method in class org.apache.commons.math4.util.MathArrays: Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by Precision.equals(float,float).
equals(float, float) - Static method in class org.apache.commons.numbers.core.Precision: Returns true iff they are equal as defined by equals(x, y, 1).
equals(float, float, float) - Static method in class org.apache.commons.numbers.core.Precision: Returns true if the arguments are equal or within the range of allowed error (inclusive).
equals(float, float, int) - Static method in class org.apache.commons.numbers.core.Precision: Returns true if the arguments are equal or within the range of allowed error (inclusive).
equals(Object) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Test for the equality of two derivative structures.
equals(Object) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Test for the equality of two sparse gradients.
equals(Object) - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunction
equals(Object) - Method in class org.apache.commons.math4.fraction.BigFraction: Test for the equality of two fractions.
equals(Object) - Method in class org.apache.commons.math4.fraction.Fraction: Test for the equality of two fractions.
equals(Object) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Returns true iff object is a FieldMatrix instance with the same dimensions as this and all corresponding matrix entries are equal.
equals(Object) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Returns true iff object is a RealMatrix instance with the same dimensions as this and all corresponding matrix entries are equal.
equals(Object) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Test for the equality of two vectors.
equals(Object) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Test for the equality of two real vectors.
equals(Object) - Method in class org.apache.commons.math4.linear.OpenMapRealVector: Test for the equality of two real vectors.
equals(Object) - Method in class org.apache.commons.math4.linear.RealVector: Test for the equality of two real vectors.
equals(Object) - Method in class org.apache.commons.math4.linear.SparseFieldVector
equals(Object) - Method in class org.apache.commons.math4.stat.descriptive.AbstractStorelessUnivariateStatistic: Returns true iff object is the same type of StorelessUnivariateStatistic (the object's class equals this instance) returning the same values as this for getResult() and getN().
equals(Object) - Method in class org.apache.commons.math4.stat.descriptive.moment.VectorialCovariance
equals(Object) - Method in class org.apache.commons.math4.stat.descriptive.moment.VectorialMean
equals(Object) - Method in class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics: Returns true iff object is a MultivariateSummaryStatistics instance and all statistics have the same values as this.
equals(Object) - Method in class org.apache.commons.math4.stat.descriptive.rank.PSquarePercentile: Returns true iff o is a PSquarePercentile returning the same values as this for getResult() and getN() and also having equal markers
equals(Object) - Method in class org.apache.commons.math4.stat.descriptive.StatisticalSummaryValues: Returns true iff object is a StatisticalSummaryValues instance and all statistics have the same values as this.
equals(Object) - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Returns true iff object is a SummaryStatistics instance and all statistics have the same values as this.
equals(Object) - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics: Returns true iff object is a MultivariateSummaryStatistics instance and all statistics have the same values as this.
equals(Object) - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: Returns true iff object is a SummaryStatistics instance and all statistics have the same values as this.
equals(Object) - Method in class org.apache.commons.math4.stat.Frequency
equals(Object) - Method in class org.apache.commons.math4.util.BigReal
equals(Object) - Method in class org.apache.commons.math4.util.Decimal64
equals(Object) - Method in class org.apache.commons.math4.util.DefaultTransformer
equals(Object) - Method in class org.apache.commons.math4.util.Pair: Compare the specified object with this entry for equality.
equals(Object) - Method in class org.apache.commons.math4.util.ResizableDoubleArray: Returns true iff object is a ResizableDoubleArray with the same properties as this and an identical internal storage array.
equals(Object) - Method in class org.apache.commons.math4.util.TransformerMap
equals(Object) - Method in class org.apache.commons.numbers.complex.Complex: Test for equality with another object.
equals(Object) - Method in class org.apache.commons.numbers.fraction.BigFraction: Test for the equality of two fractions.
equals(Object) - Method in class org.apache.commons.numbers.fraction.Fraction: Test for the equality of two fractions.
equals(Complex, Complex) - Static method in class org.apache.commons.numbers.complex.Complex: Returns true iff the values are equal as defined by equals(x, y, 1).
equals(Complex, Complex, double) - Static method in class org.apache.commons.numbers.complex.Complex: Returns true if, both for the real part and for the imaginary part, there is no double value strictly between the arguments or the difference between them is within the range of allowed error (inclusive).
equals(Complex, Complex, int) - Static method in class org.apache.commons.numbers.complex.Complex: Test for the floating-point equality between Complex objects.
equalsIncludingNaN(double[], double[]) - Static method in class org.apache.commons.math4.util.MathArrays: Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by this method.
equalsIncludingNaN(double, double) - Static method in class org.apache.commons.numbers.core.Precision: Returns true if the arguments are both NaN or they are equal as defined by equals(x, y, 1).
equalsIncludingNaN(double, double, double) - Static method in class org.apache.commons.numbers.core.Precision: Returns true if the arguments are both NaN, are equal or are within the range of allowed error (inclusive).
equalsIncludingNaN(double, double, int) - Static method in class org.apache.commons.numbers.core.Precision: Returns true if both arguments are NaN or if they are equal as defined by equals(x, y, maxUlps).
equalsIncludingNaN(float[], float[]) - Static method in class org.apache.commons.math4.util.MathArrays: Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by this method.
equalsIncludingNaN(float, float) - Static method in class org.apache.commons.numbers.core.Precision: Returns true if both arguments are NaN or they are equal as defined by equals(x, y, 1).
equalsIncludingNaN(float, float, float) - Static method in class org.apache.commons.numbers.core.Precision: Returns true if the arguments are both NaN, are equal, or are within the range of allowed error (inclusive).
equalsIncludingNaN(float, float, int) - Static method in class org.apache.commons.numbers.core.Precision: Returns true if the arguments are both NaN or if they are equal as defined by equals(x, y, maxUlps).
equalsWithRelativeTolerance(double, double, double) - Static method in class org.apache.commons.numbers.core.Precision: Returns true if there is no double value strictly between the arguments or the relative difference between them is less than or equal to the given tolerance.
equalsWithRelativeTolerance(Complex, Complex, double) - Static method in class org.apache.commons.numbers.complex.Complex: Returns true if, both for the real part and for the imaginary part, there is no double value strictly between the arguments or the relative difference between them is smaller or equal to the given tolerance.
Erf - Class in org.apache.commons.numbers.gamma: Error function.
Erf() - Constructor for class org.apache.commons.numbers.gamma.Erf
Erfc - Class in org.apache.commons.numbers.gamma: Complementary error function.
Erfc() - Constructor for class org.apache.commons.numbers.gamma.Erfc
ErfDifference - Class in org.apache.commons.numbers.gamma: Computes the difference between error function values.
ErfDifference() - Constructor for class org.apache.commons.numbers.gamma.ErfDifference
estimate(double[][], int) - Static method in class org.apache.commons.math4.distribution.fitting.MultivariateNormalMixtureExpectationMaximization: Helper method to create a multivariate normal mixture model which can be used to initialize MultivariateNormalMixtureExpectationMaximization.fit(MixtureMultivariateNormalDistribution).
estimate(double[], int[], double, int, KthSelector) - Method in enum org.apache.commons.math4.stat.descriptive.rank.Percentile.EstimationType: Estimation based on K^th selection.
estimate(int) - Method in interface org.apache.commons.math4.stat.descriptive.rank.PSquarePercentile.PSquareMarkers: An Estimate of the percentile value of a given Marker
estimateErrorVariance() - Method in class org.apache.commons.math4.stat.regression.AbstractMultipleLinearRegression: Estimates the variance of the error.
estimateRegressandVariance() - Method in class org.apache.commons.math4.stat.regression.AbstractMultipleLinearRegression: Returns the variance of the regressand, ie Var(y).
estimateRegressandVariance() - Method in interface org.apache.commons.math4.stat.regression.MultipleLinearRegression: Returns the variance of the regressand, ie Var(y).
estimateRegressionParameters() - Method in class org.apache.commons.math4.stat.regression.AbstractMultipleLinearRegression: Estimates the regression parameters b.
estimateRegressionParameters() - Method in interface org.apache.commons.math4.stat.regression.MultipleLinearRegression: Estimates the regression parameters b.
estimateRegressionParametersStandardErrors() - Method in class org.apache.commons.math4.stat.regression.AbstractMultipleLinearRegression: Returns the standard errors of the regression parameters.
estimateRegressionParametersStandardErrors() - Method in interface org.apache.commons.math4.stat.regression.MultipleLinearRegression: Returns the standard errors of the regression parameters.
estimateRegressionParametersVariance() - Method in class org.apache.commons.math4.stat.regression.AbstractMultipleLinearRegression: Estimates the variance of the regression parameters, ie Var(b).
estimateRegressionParametersVariance() - Method in interface org.apache.commons.math4.stat.regression.MultipleLinearRegression: Estimates the variance of the regression parameters, ie Var(b).
estimateRegressionStandardError() - Method in class org.apache.commons.math4.stat.regression.AbstractMultipleLinearRegression: Estimates the standard error of the regression.
estimateResiduals() - Method in class org.apache.commons.math4.stat.regression.AbstractMultipleLinearRegression: Estimates the residuals, ie u = y - X*b.
estimateResiduals() - Method in interface org.apache.commons.math4.stat.regression.MultipleLinearRegression: Estimates the residuals, ie u = y - X*b.
EULER_ANGLES_SINGULARITY - org.apache.commons.math4.exception.util.LocalizedFormats
evaluate() - Method in class org.apache.commons.math4.stat.descriptive.AbstractUnivariateStatistic: Returns the result of evaluating the statistic over the stored data.
evaluate(double) - Method in class org.apache.commons.math4.stat.descriptive.rank.Percentile: Returns the result of evaluating the statistic over the stored data.
evaluate(double) - Method in class org.apache.commons.numbers.fraction.ContinuedFraction: Evaluates the continued fraction.
evaluate(double[]) - Method in class org.apache.commons.math4.stat.descriptive.AbstractStorelessUnivariateStatistic: This default implementation creates a copy of this StorelessUnivariateStatistic instance, calls AbstractStorelessUnivariateStatistic.clear() on it, then calls AbstractStorelessUnivariateStatistic.incrementAll(double[]) with the specified portion of the input array, and then uses AbstractStorelessUnivariateStatistic.getResult() to compute the return value.
evaluate(double[]) - Method in class org.apache.commons.math4.stat.descriptive.AbstractUnivariateStatistic: Returns the result of evaluating the statistic over the input array.
evaluate(double[]) - Method in class org.apache.commons.math4.stat.descriptive.moment.StandardDeviation: Returns the Standard Deviation of the entries in the input array, or Double.NaN if the array is empty.
evaluate(double[]) - Method in class org.apache.commons.math4.stat.descriptive.moment.Variance: Returns the variance of the entries in the input array, or Double.NaN if the array is empty.
evaluate(double[]) - Method in interface org.apache.commons.math4.stat.descriptive.UnivariateStatistic: Returns the result of evaluating the statistic over the input array.
evaluate(double[]) - Method in interface org.apache.commons.math4.util.MathArrays.Function: Operates on an entire array.
evaluate(double[], double) - Static method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunction: Uses Horner's Method to evaluate the polynomial with the given coefficients at the argument.
evaluate(double[], double) - Method in class org.apache.commons.math4.stat.descriptive.moment.SemiVariance: Returns the SemiVariance of the designated values against the cutoff, using instance properties variancDirection and biasCorrection.
evaluate(double[], double) - Method in class org.apache.commons.math4.stat.descriptive.moment.StandardDeviation: Returns the Standard Deviation of the entries in the input array, using the precomputed mean value.
evaluate(double[], double) - Method in class org.apache.commons.math4.stat.descriptive.moment.Variance: Returns the variance of the entries in the input array, using the precomputed mean value.
evaluate(double[], double) - Method in class org.apache.commons.math4.stat.descriptive.rank.Percentile: Returns an estimate of the pth percentile of the values in the values array.
evaluate(double[], double[]) - Method in class org.apache.commons.math4.stat.descriptive.moment.Mean: Returns the weighted arithmetic mean of the entries in the input array.
evaluate(double[], double[]) - Method in class org.apache.commons.math4.stat.descriptive.moment.Variance: Returns the weighted variance of the entries in the input array.
evaluate(double[], double[]) - Method in class org.apache.commons.math4.stat.descriptive.summary.Product: Returns the weighted product of the entries in the input array.
evaluate(double[], double[]) - Method in class org.apache.commons.math4.stat.descriptive.summary.Sum: The weighted sum of the entries in the input array.
evaluate(double[], double[]) - Method in interface org.apache.commons.math4.stat.descriptive.WeightedEvaluation: Returns the result of evaluating the statistic over the input array, using the supplied weights.
evaluate(double[], double[], double) - Static method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunctionLagrangeForm: Evaluate the Lagrange polynomial using Neville's Algorithm.
evaluate(double[], double[], double) - Static method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunctionNewtonForm: Evaluate the Newton polynomial using nested multiplication.
evaluate(double[], double[], double) - Method in class org.apache.commons.math4.stat.descriptive.moment.Variance: Returns the weighted variance of the values in the input array, using the precomputed weighted mean value.
evaluate(double[], double[], double, int, int) - Method in class org.apache.commons.math4.stat.descriptive.moment.Variance: Returns the weighted variance of the entries in the specified portion of the input array, using the precomputed weighted mean value.
evaluate(double[], double[], int, int) - Method in class org.apache.commons.math4.stat.descriptive.moment.Mean: Returns the weighted arithmetic mean of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], double[], int, int) - Method in class org.apache.commons.math4.stat.descriptive.moment.Variance: Returns the weighted variance of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], double[], int, int) - Method in class org.apache.commons.math4.stat.descriptive.summary.Product: Returns the weighted product of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], double[], int, int) - Method in class org.apache.commons.math4.stat.descriptive.summary.Sum: The weighted sum of the entries in the specified portion of the input array, or 0 if the designated subarray is empty.
evaluate(double[], double[], int, int) - Method in interface org.apache.commons.math4.stat.descriptive.WeightedEvaluation: Returns the result of evaluating the statistic over the specified entries in the input array, using corresponding entries in the supplied weights array.
evaluate(double[], double, int, int) - Method in class org.apache.commons.math4.stat.descriptive.moment.StandardDeviation: Returns the Standard Deviation of the entries in the specified portion of the input array, using the precomputed mean value.
evaluate(double[], double, int, int) - Method in class org.apache.commons.math4.stat.descriptive.moment.Variance: Returns the variance of the entries in the specified portion of the input array, using the precomputed mean value.
evaluate(double[], double, SemiVariance.Direction) - Method in class org.apache.commons.math4.stat.descriptive.moment.SemiVariance: Returns the SemiVariance of the designated values against the cutoff in the given direction, using the current value of the biasCorrection instance property.
evaluate(double[], double, SemiVariance.Direction, boolean, int, int) - Method in class org.apache.commons.math4.stat.descriptive.moment.SemiVariance: Returns the SemiVariance of the designated values against the cutoff in the given direction with the provided bias correction.
evaluate(double[], double, KthSelector) - Method in enum org.apache.commons.math4.stat.descriptive.rank.Percentile.EstimationType: Evaluate method to compute the percentile for a given bounded array.
evaluate(double[], int[], double, KthSelector) - Method in enum org.apache.commons.math4.stat.descriptive.rank.Percentile.EstimationType: Evaluate method to compute the percentile for a given bounded array using earlier computed pivots heap.
This basically calls the index and then estimate functions to return the estimated percentile value.
evaluate(double[], int, int) - Method in class org.apache.commons.math4.stat.descriptive.AbstractStorelessUnivariateStatistic: This default implementation creates a copy of this StorelessUnivariateStatistic instance, calls AbstractStorelessUnivariateStatistic.clear() on it, then calls AbstractStorelessUnivariateStatistic.incrementAll(double[]) with the specified portion of the input array, and then uses AbstractStorelessUnivariateStatistic.getResult() to compute the return value.
evaluate(double[], int, int) - Method in class org.apache.commons.math4.stat.descriptive.AbstractUnivariateStatistic: Returns the result of evaluating the statistic over the specified entries in the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math4.stat.descriptive.moment.GeometricMean: Returns the geometric mean of the entries in the specified portion of the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math4.stat.descriptive.moment.Kurtosis: Returns the kurtosis of the entries in the specified portion of the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math4.stat.descriptive.moment.Mean: Returns the arithmetic mean of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], int, int) - Method in class org.apache.commons.math4.stat.descriptive.moment.SemiVariance: Returns the SemiVariance of the designated values against the mean, using instance properties varianceDirection and biasCorrection.
evaluate(double[], int, int) - Method in class org.apache.commons.math4.stat.descriptive.moment.Skewness: Returns the Skewness of the entries in the specified portion of the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math4.stat.descriptive.moment.StandardDeviation: Returns the Standard Deviation of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], int, int) - Method in class org.apache.commons.math4.stat.descriptive.moment.Variance: Returns the variance of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], int, int) - Method in class org.apache.commons.math4.stat.descriptive.rank.Max: Returns the maximum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], int, int) - Method in class org.apache.commons.math4.stat.descriptive.rank.Min: Returns the minimum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], int, int) - Method in class org.apache.commons.math4.stat.descriptive.rank.Percentile: Returns an estimate of the quantileth percentile of the designated values in the values array.
evaluate(double[], int, int) - Method in class org.apache.commons.math4.stat.descriptive.summary.Product: Returns the product of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], int, int) - Method in class org.apache.commons.math4.stat.descriptive.summary.Sum: The sum of the entries in the specified portion of the input array, or 0 if the designated subarray is empty.
evaluate(double[], int, int) - Method in class org.apache.commons.math4.stat.descriptive.summary.SumOfLogs: Returns the sum of the natural logs of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], int, int) - Method in class org.apache.commons.math4.stat.descriptive.summary.SumOfSquares: Returns the sum of the squares of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], int, int) - Method in interface org.apache.commons.math4.stat.descriptive.UnivariateStatistic: Returns the result of evaluating the statistic over the specified entries in the input array.
evaluate(double[], int, int) - Method in interface org.apache.commons.math4.util.MathArrays.Function
evaluate(double[], int, int, double) - Method in class org.apache.commons.math4.stat.descriptive.rank.Percentile: Returns an estimate of the pth percentile of the values in the values array, starting with the element in (0-based) position begin in the array and including length values.
evaluate(double[], SemiVariance.Direction) - Method in class org.apache.commons.math4.stat.descriptive.moment.SemiVariance: This method calculates SemiVariance for the entire array against the mean, using the current value of the biasCorrection instance property.
evaluate(double, double) - Method in class org.apache.commons.numbers.fraction.ContinuedFraction: Evaluates the continued fraction.
evaluate(double, double, int) - Method in class org.apache.commons.numbers.fraction.ContinuedFraction: Evaluates the continued fraction.
evaluate(double, int) - Method in class org.apache.commons.numbers.fraction.ContinuedFraction: Evaluates the continued fraction at the value x.
EVALUATION - org.apache.commons.math4.exception.util.LocalizedFormats
EVALUATIONS - org.apache.commons.math4.exception.util.LocalizedFormats
exactP(double, int, int, boolean) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
exactP(double, int, int, boolean) - Method in class org.apache.commons.math4.stat.inference.KolmogorovSmirnovTest: Computes \(P(D_{n,m} > d)\) if strict is true; otherwise \(P(D_{n,m} \ge d)\), where \(D_{n,m}\) is the 2-sample Kolmogorov-Smirnov statistic.
ExceptionContext - Class in org.apache.commons.math4.exception.util: Class that contains the actual implementation of the functionality mandated by the ExceptionContext interface.
ExceptionContext(Throwable) - Constructor for class org.apache.commons.math4.exception.util.ExceptionContext: Simple constructor.
ExceptionContextProvider - Interface in org.apache.commons.math4.exception.util: Interface for accessing the context data structure stored in Commons Math exceptions.
exp() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Exponential.
exp() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Exponential.
exp() - Method in interface org.apache.commons.math4.RealFieldElement: Exponential.
exp() - Method in class org.apache.commons.math4.util.Decimal64: Exponential.
exp() - Method in class org.apache.commons.numbers.complex.Complex: Compute the exponential function of this complex number.
exp(double) - Static method in class org.apache.commons.math4.util.FastMath: Exponential function.
exp(double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Compute exponential of a derivative structure.
Exp - Class in org.apache.commons.math4.analysis.function: Exponential function.
Exp() - Constructor for class org.apache.commons.math4.analysis.function.Exp
expand() - Method in class org.apache.commons.math4.util.ResizableDoubleArray: Expands the internal storage array using the expansion factor.
EXPANSION_FACTOR_SMALLER_THAN_ONE - org.apache.commons.math4.exception.util.LocalizedFormats
expm1() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Exponential minus 1.
expm1() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Exponential minus 1.
expm1() - Method in interface org.apache.commons.math4.RealFieldElement: Exponential minus 1.
expm1() - Method in class org.apache.commons.math4.util.Decimal64: Exponential minus 1.
expm1(double) - Static method in class org.apache.commons.math4.util.FastMath: Compute exp(x) - 1
expm1(double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Compute exp(x) - 1 of a derivative structure.
Expm1 - Class in org.apache.commons.math4.analysis.function: e^x-1 function.
Expm1() - Constructor for class org.apache.commons.math4.analysis.function.Expm1
EXPONENT - org.apache.commons.math4.exception.util.LocalizedFormats
Exponential - Class in io.virtdata.continuous.int_double
Exponential - Class in io.virtdata.continuous.long_double
Exponential(double, String...) - Constructor for class io.virtdata.continuous.int_double.Exponential
Exponential(double, String...) - Constructor for class io.virtdata.continuous.long_double.Exponential
ExponentialAutoDocsInfo - Class in io.virtdata.continuous.int_double
ExponentialAutoDocsInfo - Class in io.virtdata.continuous.long_double
ExponentialAutoDocsInfo() - Constructor for class io.virtdata.continuous.int_double.ExponentialAutoDocsInfo
ExponentialAutoDocsInfo() - Constructor for class io.virtdata.continuous.long_double.ExponentialAutoDocsInfo
ExponentialDistribution - Class in org.apache.commons.statistics.distribution: Implementation of the exponential distribution.
ExponentialDistribution(double) - Constructor for class org.apache.commons.statistics.distribution.ExponentialDistribution: Creates a distribution.
extractComplexFromImaginaryArray(double[], int) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Returns double from array imaginary[] at entry index as a Complex.
extractComplexFromImaginaryArray(float[], int) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Returns float from array imaginary[] at entry index as a Complex.
extractComplexFromInterleavedArray(double[], int) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Returns a Complex object from interleaved double[] array at entry index.
extractComplexFromInterleavedArray(float[], int) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Returns a Complex object from interleaved float[] array at entry index.
extractComplexFromRealArray(double[], int) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Returns double from array real[] at entry index as a Complex.
extractComplexFromRealArray(float[], int) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Returns float from array real[] at entry index as a Complex.
extractField(T[]) - Static method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Get the elements type from an array.
extractField(T[][]) - Static method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Get the elements type from an array.
extractHi(long) - Static method in class org.apache.commons.rng.core.util.NumberFactory: Creates an int from a long, using the high order bits.
extractImaginaryFloatFromComplexArray(Complex[], int) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Returns imaginary component of array Complex[] at entry index as a float.
extractImaginaryFromComplexArray(Complex[], int) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Returns imaginary component of Complex from array Complex[] at entry index as a double.
extractInterleavedFloatFromComplexArray(Complex[], int) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Returns Complex object from array Complex[] at entry index as a size 2 float of the form {real, imag}.
extractInterleavedFromComplexArray(Complex[], int) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Returns values of Complex object from array Complex[] at entry index as a size 2 double of the form {real, imag}.
extractLo(long) - Static method in class org.apache.commons.rng.core.util.NumberFactory: Creates an int from a long, using the low order bits.
extractRealFloatFromComplexArray(Complex[], int) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Returns real component of array Complex[] at entry index as a float.
extractRealFromComplexArray(Complex[], int) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Returns real component of Complex from array Complex[] at entry index as a double.

F

F - Class in io.virtdata.continuous.int_double
F - Class in io.virtdata.continuous.long_double
F(double, double, String...) - Constructor for class io.virtdata.continuous.int_double.F
F(double, double, String...) - Constructor for class io.virtdata.continuous.long_double.F
FACET_ORIENTATION_MISMATCH - org.apache.commons.math4.exception.util.LocalizedFormats
Factorial - Class in org.apache.commons.numbers.combinatorics: Factorial of a number.
Factorial() - Constructor for class org.apache.commons.numbers.combinatorics.Factorial
FACTORIAL_NEGATIVE_PARAMETER - org.apache.commons.math4.exception.util.LocalizedFormats
FactorialDouble - Class in org.apache.commons.numbers.combinatorics: Class for computing the natural logarithm of the factorial of a number.
FAILED - org.apache.commons.math4.stat.ranking.NaNStrategy: NaNs result in an exception
FAILED_BRACKETING - org.apache.commons.math4.exception.util.LocalizedFormats
FAILED_FRACTION_CONVERSION - org.apache.commons.math4.exception.util.LocalizedFormats
FastMath - Class in org.apache.commons.math4.util: Faster, more accurate, portable alternative to Math and StrictMath for large scale computation.
FAutoDocsInfo - Class in io.virtdata.continuous.int_double
FAutoDocsInfo - Class in io.virtdata.continuous.long_double
FAutoDocsInfo() - Constructor for class io.virtdata.continuous.int_double.FAutoDocsInfo
FAutoDocsInfo() - Constructor for class io.virtdata.continuous.long_double.FAutoDocsInfo
FDistribution - Class in org.apache.commons.statistics.distribution: Implementation of the F-distribution.
FDistribution(double, double) - Constructor for class org.apache.commons.statistics.distribution.FDistribution: Creates a distribution.
Field<T> - Interface in org.apache.commons.math4: Interface representing a field.
FieldBracketingNthOrderBrentSolver<T extends RealFieldElement<T>> - Class in org.apache.commons.math4.analysis.solvers: This class implements a modification of the Brent algorithm.
FieldBracketingNthOrderBrentSolver(T, T, T, int) - Constructor for class org.apache.commons.math4.analysis.solvers.FieldBracketingNthOrderBrentSolver: Construct a solver.
FieldDecompositionSolver<T extends FieldElement<T>> - Interface in org.apache.commons.math4.linear: Interface handling decomposition algorithms that can solve A × X = B.
FieldElement<T> - Interface in org.apache.commons.math4: Interface representing field elements.
FieldHermiteInterpolator<T extends FieldElement<T>> - Class in org.apache.commons.math4.analysis.interpolation: Polynomial interpolator using both sample values and sample derivatives.
FieldHermiteInterpolator() - Constructor for class org.apache.commons.math4.analysis.interpolation.FieldHermiteInterpolator: Create an empty interpolator.
FieldLUDecomposition<T extends FieldElement<T>> - Class in org.apache.commons.math4.linear: Calculates the LUP-decomposition of a square matrix.
FieldLUDecomposition(FieldMatrix<T>) - Constructor for class org.apache.commons.math4.linear.FieldLUDecomposition: Calculates the LU-decomposition of the given matrix.
FieldMatrix<T extends FieldElement<T>> - Interface in org.apache.commons.math4.linear: Interface defining field-valued matrix with basic algebraic operations.
FieldMatrixChangingVisitor<T extends FieldElement<?>> - Interface in org.apache.commons.math4.linear: Interface defining a visitor for matrix entries.
FieldMatrixPreservingVisitor<T extends FieldElement<?>> - Interface in org.apache.commons.math4.linear: Interface defining a visitor for matrix entries.
FieldVector<T extends FieldElement<T>> - Interface in org.apache.commons.math4.linear: Interface defining a field-valued vector with basic algebraic operations.
FieldVectorChangingVisitor<T extends FieldElement<?>> - Interface in org.apache.commons.math4.linear: This interface defines a visitor for the entries of a vector.
FieldVectorPreservingVisitor<T extends FieldElement<?>> - Interface in org.apache.commons.math4.linear: This interface defines a visitor for the entries of a vector.
fillState(int[], int[]) - Method in class org.apache.commons.rng.core.BaseProvider: Simple filling procedure.
fillState(long[], long[]) - Method in class org.apache.commons.rng.core.BaseProvider: Simple filling procedure.
FiniteDifferencesDifferentiator - Class in org.apache.commons.math4.analysis.differentiation: Univariate functions differentiator using finite differences.
FiniteDifferencesDifferentiator(int, double) - Constructor for class org.apache.commons.math4.analysis.differentiation.FiniteDifferencesDifferentiator: Build a differentiator with number of points and step size when independent variable is unbounded.
FiniteDifferencesDifferentiator(int, double, double, double) - Constructor for class org.apache.commons.math4.analysis.differentiation.FiniteDifferencesDifferentiator: Build a differentiator with number of points and step size when independent variable is bounded.
fireInitializationEvent(IterationEvent) - Method in class org.apache.commons.math4.util.IterationManager: Informs all registered listeners that the initial phase (prior to the main iteration loop) has been completed.
fireIterationPerformedEvent(IterationEvent) - Method in class org.apache.commons.math4.util.IterationManager: Informs all registered listeners that a new iteration (in the main iteration loop) has been performed.
fireIterationStartedEvent(IterationEvent) - Method in class org.apache.commons.math4.util.IterationManager: Informs all registered listeners that a new iteration (in the main iteration loop) has been started.
fireTerminationEvent(IterationEvent) - Method in class org.apache.commons.math4.util.IterationManager: Informs all registered listeners that the final phase (post-iterations) has been completed.
FIRST_COLUMNS_NOT_INITIALIZED_YET - org.apache.commons.math4.exception.util.LocalizedFormats
FIRST_ELEMENT_NOT_ZERO - org.apache.commons.math4.exception.util.LocalizedFormats
FIRST_ROWS_NOT_INITIALIZED_YET - org.apache.commons.math4.exception.util.LocalizedFormats
fit(MixtureMultivariateNormalDistribution) - Method in class org.apache.commons.math4.distribution.fitting.MultivariateNormalMixtureExpectationMaximization: Fit a mixture model to the data supplied to the constructor.
fit(MixtureMultivariateNormalDistribution, int, double) - Method in class org.apache.commons.math4.distribution.fitting.MultivariateNormalMixtureExpectationMaximization: Fit a mixture model to the data supplied to the constructor.
fix1stArgument(BivariateFunction, double) - Static method in class org.apache.commons.math4.analysis.FunctionUtils: Creates a unary function by fixing the first argument of a binary function.
fix2ndArgument(BivariateFunction, double) - Static method in class org.apache.commons.math4.analysis.FunctionUtils: Creates a unary function by fixing the second argument of a binary function.
FIXED - org.apache.commons.math4.stat.ranking.NaNStrategy: NaNs are left in place
flatten(Object[]) - Static method in class org.apache.commons.math4.exception.util.ArgUtils: Transform a multidimensional array into a one-dimensional list.
floatValue() - Method in class org.apache.commons.math4.fraction.BigFraction: Gets the fraction as a float.
floatValue() - Method in class org.apache.commons.math4.fraction.Fraction: Gets the fraction as a float.
floatValue() - Method in class org.apache.commons.math4.util.Decimal64: The current implementation performs casting to a float.
floatValue() - Method in class org.apache.commons.numbers.fraction.BigFraction: Gets the fraction as a float.
floatValue() - Method in class org.apache.commons.numbers.fraction.Fraction: Gets the fraction as a float.
floor() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Get the largest whole number smaller than instance.
floor() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Get the largest whole number smaller than instance.
floor() - Method in interface org.apache.commons.math4.RealFieldElement: Get the largest whole number smaller than instance.
floor() - Method in class org.apache.commons.math4.util.Decimal64: Get the largest whole number smaller than instance.
floor(double) - Static method in class org.apache.commons.math4.util.FastMath: Get the largest whole number smaller than x.
Floor - Class in org.apache.commons.math4.analysis.function: floor function.
Floor() - Constructor for class org.apache.commons.math4.analysis.function.Floor
floorDiv(int, int) - Static method in class org.apache.commons.math4.util.FastMath: Finds q such that a = q b + r with 0 <= r 0 and b < r <= 0 if b < 0.
floorDiv(long, long) - Static method in class org.apache.commons.math4.util.FastMath: Finds q such that a = q b + r with 0 <= r 0 and b < r <= 0 if b < 0.
floorMod(int, int) - Static method in class org.apache.commons.math4.util.FastMath: Finds r such that a = q b + r with 0 <= r 0 and b < r <= 0 if b < 0.
floorMod(long, long) - Static method in class org.apache.commons.math4.util.FastMath: Finds r such that a = q b + r with 0 <= r 0 and b < r <= 0 if b < 0.
forceSide(int, UnivariateFunction, BracketedUnivariateSolver<UnivariateFunction>, double, double, double, AllowedSolution) - Static method in class org.apache.commons.math4.analysis.solvers.UnivariateSolverUtils: Force a root found by a non-bracketing solver to lie on a specified side, as if the solver were a bracketing one.
format(double, StringBuffer, FieldPosition) - Method in class org.apache.commons.numbers.fraction.AbstractFormat: Formats a double value as a fraction and appends the result to a StringBuffer.
format(long, StringBuffer, FieldPosition) - Method in class org.apache.commons.numbers.fraction.AbstractFormat: Formats a long value as a fraction and appends the result to a StringBuffer.
format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.numbers.fraction.BigFractionFormat: Formats an object and appends the result to a StringBuffer.
format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.numbers.fraction.FractionFormat: Formats an object and appends the result to a StringBuffer.
format(RealMatrix) - Method in class org.apache.commons.math4.linear.RealMatrixFormat: This method calls RealMatrixFormat.format(RealMatrix,StringBuffer,FieldPosition).
format(RealMatrix, StringBuffer, FieldPosition) - Method in class org.apache.commons.math4.linear.RealMatrixFormat: Formats a RealMatrix object to produce a string.
format(RealVector) - Method in class org.apache.commons.math4.linear.RealVectorFormat: This method calls RealVectorFormat.format(RealVector,StringBuffer,FieldPosition).
format(RealVector, StringBuffer, FieldPosition) - Method in class org.apache.commons.math4.linear.RealVectorFormat: Formats a RealVector object to produce a string.
format(BigFraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.numbers.fraction.BigFractionFormat: Formats a BigFraction object to produce a string.
format(BigFraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.numbers.fraction.ProperBigFractionFormat: Formats a BigFraction object to produce a string.
format(Fraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.numbers.fraction.FractionFormat: Formats a Fraction object to produce a string.
format(Fraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.numbers.fraction.ProperFractionFormat: Formats a Fraction object to produce a string.
formatBigFraction(BigFraction) - Static method in class org.apache.commons.numbers.fraction.BigFractionFormat: This static method calls formatBigFraction() on a default instance of BigFractionFormat.
formatDouble(double, NumberFormat, StringBuffer, FieldPosition) - Static method in class org.apache.commons.math4.util.CompositeFormat: Formats a double value to produce a string.
formatFraction(Fraction) - Static method in class org.apache.commons.numbers.fraction.FractionFormat: This static method calls formatFraction() on a default instance of FractionFormat.
FOUR_FIFTHS - Static variable in class org.apache.commons.math4.fraction.BigFraction: A fraction representing "4/5".
FOUR_FIFTHS - Static variable in class org.apache.commons.math4.fraction.Fraction: A fraction representing "4/5".
FOUR_FIFTHS - Static variable in class org.apache.commons.numbers.fraction.BigFraction: A fraction representing "4/5".
FOUR_FIFTHS - Static variable in class org.apache.commons.numbers.fraction.Fraction: A fraction representing "4/5".
Fraction - Class in org.apache.commons.math4.fraction: Representation of a rational number.
Fraction - Class in org.apache.commons.numbers.fraction: Representation of a rational number.
Fraction(double) - Constructor for class org.apache.commons.math4.fraction.Fraction: Create a fraction given the double value.
Fraction(double) - Constructor for class org.apache.commons.numbers.fraction.Fraction: Create a fraction given the double value.
Fraction(double, double, int) - Constructor for class org.apache.commons.math4.fraction.Fraction: Create a fraction given the double value and maximum error allowed.
Fraction(double, double, int) - Constructor for class org.apache.commons.numbers.fraction.Fraction: Create a fraction given the double value and maximum error allowed.
Fraction(double, int) - Constructor for class org.apache.commons.math4.fraction.Fraction: Create a fraction given the double value and maximum denominator.
Fraction(double, int) - Constructor for class org.apache.commons.numbers.fraction.Fraction: Create a fraction given the double value and maximum denominator.
Fraction(int) - Constructor for class org.apache.commons.math4.fraction.Fraction: Create a fraction from an int.
Fraction(int) - Constructor for class org.apache.commons.numbers.fraction.Fraction: Create a fraction from an int.
Fraction(int, int) - Constructor for class org.apache.commons.math4.fraction.Fraction: Create a fraction given the numerator and denominator.
Fraction(int, int) - Constructor for class org.apache.commons.numbers.fraction.Fraction: Create a fraction given the numerator and denominator.
FRACTION - org.apache.commons.math4.exception.util.LocalizedFormats
FRACTION_CONVERSION_OVERFLOW - org.apache.commons.math4.exception.util.LocalizedFormats
FractionConversionException - Exception in org.apache.commons.math4.fraction: Error thrown when a double value cannot be converted to a fraction in the allowed number of iterations.
FractionConversionException(double, int) - Constructor for exception org.apache.commons.math4.fraction.FractionConversionException: Constructs an exception with specified formatted detail message.
FractionConversionException(double, long, long) - Constructor for exception org.apache.commons.math4.fraction.FractionConversionException: Constructs an exception with specified formatted detail message.
FractionField - Class in org.apache.commons.math4.fraction: Representation of the fractional numbers field.
FractionFormat - Class in org.apache.commons.numbers.fraction: Formats a Fraction number in proper format or improper format.
FractionFormat() - Constructor for class org.apache.commons.numbers.fraction.FractionFormat: Create an improper formatting instance with the default number format for the numerator and denominator.
FractionFormat(NumberFormat) - Constructor for class org.apache.commons.numbers.fraction.FractionFormat: Create an improper formatting instance with a custom number format for both the numerator and denominator.
FractionFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.numbers.fraction.FractionFormat: Create an improper formatting instance with a custom number format for the numerator and a custom number format for the denominator.
fractionMatrixToRealMatrix(FieldMatrix<Fraction>) - Static method in class org.apache.commons.math4.linear.MatrixUtils: Convert a FieldMatrix/Fraction matrix to a RealMatrix.
FREE - Static variable in class org.apache.commons.math4.util.OpenIntToDoubleHashMap: Status indicator for free table entries.
FREE - Static variable in class org.apache.commons.math4.util.OpenIntToFieldHashMap: Status indicator for free table entries.
Frequency<T extends java.lang.Comparable<T>> - Class in org.apache.commons.math4.stat: Maintains a frequency distribution.
Frequency() - Constructor for class org.apache.commons.math4.stat.Frequency: Default constructor.
Frequency(Comparator<T>) - Constructor for class org.apache.commons.math4.stat.Frequency: Constructor allowing values Comparator to be specified.
FULL - Static variable in class org.apache.commons.math4.util.OpenIntToDoubleHashMap: Status indicator for full table entries.
FULL - Static variable in class org.apache.commons.math4.util.OpenIntToFieldHashMap: Status indicator for full table entries.
FUNCTION - org.apache.commons.math4.exception.util.LocalizedFormats
FUNCTION_NOT_DIFFERENTIABLE - org.apache.commons.math4.exception.util.LocalizedFormats
FUNCTION_NOT_POLYNOMIAL - org.apache.commons.math4.exception.util.LocalizedFormats
FunctionUtils - Class in org.apache.commons.math4.analysis: Utilities for manipulating function objects.

G

g() - Static method in class org.apache.commons.numbers.gamma.LanczosApproximation
g(double[], long[]) - Method in class org.apache.commons.math4.stat.inference.GTest: Computes the G statistic for Goodness of Fit comparing observed and expected frequency counts.
g(double[], long[]) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
Gamma - Class in io.virtdata.continuous.int_double
Gamma - Class in io.virtdata.continuous.long_double
Gamma - Class in org.apache.commons.numbers.gamma: Gamma function.
Gamma() - Constructor for class org.apache.commons.numbers.gamma.Gamma
Gamma(double, double, String...) - Constructor for class io.virtdata.continuous.int_double.Gamma
Gamma(double, double, String...) - Constructor for class io.virtdata.continuous.long_double.Gamma
GammaAutoDocsInfo - Class in io.virtdata.continuous.int_double
GammaAutoDocsInfo - Class in io.virtdata.continuous.long_double
GammaAutoDocsInfo() - Constructor for class io.virtdata.continuous.int_double.GammaAutoDocsInfo
GammaAutoDocsInfo() - Constructor for class io.virtdata.continuous.long_double.GammaAutoDocsInfo
GammaDistribution - Class in org.apache.commons.statistics.distribution: Implementation of the Gamma distribution.
GammaDistribution(double, double) - Constructor for class org.apache.commons.statistics.distribution.GammaDistribution: Creates a distribution.
Gaussian - Class in org.apache.commons.math4.analysis.function: Gaussian function.
Gaussian() - Constructor for class org.apache.commons.math4.analysis.function.Gaussian: Normalized gaussian with zero mean and unit standard deviation.
Gaussian(double, double) - Constructor for class org.apache.commons.math4.analysis.function.Gaussian: Normalized gaussian with given mean and standard deviation.
Gaussian(double, double, double) - Constructor for class org.apache.commons.math4.analysis.function.Gaussian: Gaussian with given normalization factor, mean and standard deviation.
Gaussian.Parametric - Class in org.apache.commons.math4.analysis.function: Parametric function where the input array contains the parameters of the Gaussian, ordered as follows: Norm Mean Standard deviation
GaussianRandomGenerator - Class in org.apache.commons.math4.random: Random generator that generates normally distributed samples.
GaussianRandomGenerator(UniformRandomProvider) - Constructor for class org.apache.commons.math4.random.GaussianRandomGenerator: Creates a new generator.
GaussianSampler - Class in org.apache.commons.rng.sampling.distribution: Sampling from a Gaussian distribution with given mean and standard deviation.
GaussianSampler(NormalizedGaussianSampler, double, double) - Constructor for class org.apache.commons.rng.sampling.distribution.GaussianSampler
GaussIntegrator - Class in org.apache.commons.math4.analysis.integration.gauss: Class that implements the Gaussian rule for integrating a weighted function.
GaussIntegrator(double[], double[]) - Constructor for class org.apache.commons.math4.analysis.integration.gauss.GaussIntegrator: Creates an integrator from the given points and weights.
GaussIntegrator(Pair<double[], double[]>) - Constructor for class org.apache.commons.math4.analysis.integration.gauss.GaussIntegrator: Creates an integrator from the given pair of points (first element of the pair) and weights (second element of the pair.
GaussIntegratorFactory - Class in org.apache.commons.math4.analysis.integration.gauss: Class that provides different ways to compute the nodes and weights to be used by the Gaussian integration rule.
GaussIntegratorFactory() - Constructor for class org.apache.commons.math4.analysis.integration.gauss.GaussIntegratorFactory
gcd(int, int) - Static method in class org.apache.commons.numbers.core.ArithmeticUtils: Computes the greatest common divisor of the absolute value of two numbers, using a modified version of the "binary gcd" method.
gcd(long, long) - Static method in class org.apache.commons.numbers.core.ArithmeticUtils: Gets the greatest common divisor of the absolute value of two numbers, using the "binary gcd" method which avoids division and modulo operations.
GCD_OVERFLOW_32_BITS - org.apache.commons.math4.exception.util.LocalizedFormats
GCD_OVERFLOW_64_BITS - org.apache.commons.math4.exception.util.LocalizedFormats
gDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math4.stat.inference.GTest: Computes a G (Log-Likelihood Ratio) two sample test statistic for independence comparing frequency counts in observed1 and observed2.
gDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
Geometric - Class in io.virtdata.discrete.int_int
Geometric - Class in io.virtdata.discrete.int_long
Geometric - Class in io.virtdata.discrete.long_int
Geometric - Class in io.virtdata.discrete.long_long
Geometric(double, String...) - Constructor for class io.virtdata.discrete.int_int.Geometric
Geometric(double, String...) - Constructor for class io.virtdata.discrete.int_long.Geometric
Geometric(double, String...) - Constructor for class io.virtdata.discrete.long_int.Geometric
Geometric(double, String...) - Constructor for class io.virtdata.discrete.long_long.Geometric
GeometricAutoDocsInfo - Class in io.virtdata.discrete.int_int
GeometricAutoDocsInfo - Class in io.virtdata.discrete.int_long
GeometricAutoDocsInfo - Class in io.virtdata.discrete.long_int
GeometricAutoDocsInfo - Class in io.virtdata.discrete.long_long
GeometricAutoDocsInfo() - Constructor for class io.virtdata.discrete.int_int.GeometricAutoDocsInfo
GeometricAutoDocsInfo() - Constructor for class io.virtdata.discrete.int_long.GeometricAutoDocsInfo
GeometricAutoDocsInfo() - Constructor for class io.virtdata.discrete.long_int.GeometricAutoDocsInfo
GeometricAutoDocsInfo() - Constructor for class io.virtdata.discrete.long_long.GeometricAutoDocsInfo
GeometricDistribution - Class in org.apache.commons.statistics.distribution: Implementation of the geometric distribution.
GeometricDistribution(double) - Constructor for class org.apache.commons.statistics.distribution.GeometricDistribution: Creates a geometric distribution.
geometricMean(double[]) - Static method in class org.apache.commons.math4.stat.StatUtils: Returns the geometric mean of the entries in the input array, or Double.NaN if the array is empty.
geometricMean(double[], int, int) - Static method in class org.apache.commons.math4.stat.StatUtils: Returns the geometric mean of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
GeometricMean - Class in org.apache.commons.math4.stat.descriptive.moment: Returns the geometric mean of the available values.
GeometricMean() - Constructor for class org.apache.commons.math4.stat.descriptive.moment.GeometricMean: Create a GeometricMean instance.
GeometricMean(GeometricMean) - Constructor for class org.apache.commons.math4.stat.descriptive.moment.GeometricMean: Copy constructor, creates a new GeometricMean identical to the original.
GeometricMean(SumOfLogs) - Constructor for class org.apache.commons.math4.stat.descriptive.moment.GeometricMean: Create a GeometricMean instance using the given SumOfLogs instance
GeometricSampler - Class in org.apache.commons.rng.sampling.distribution: Sampling from a geometric distribution.
GeometricSampler(UniformRandomProvider, double) - Constructor for class org.apache.commons.rng.sampling.distribution.GeometricSampler: Creates a new geometric distribution sampler.
get(int) - Method in class org.apache.commons.math4.util.OpenIntToDoubleHashMap: Get the stored value associated with the given key
get(int) - Method in class org.apache.commons.math4.util.OpenIntToFieldHashMap: Get the stored value associated with the given key
getA(int, double) - Method in class org.apache.commons.numbers.fraction.ContinuedFraction: Defines the n-th "a" coefficient of the continued fraction.
getAbsoluteAccuracy() - Method in class org.apache.commons.math4.analysis.integration.BaseAbstractUnivariateIntegrator: Get the absolute accuracy.
getAbsoluteAccuracy() - Method in interface org.apache.commons.math4.analysis.integration.UnivariateIntegrator: Get the absolute accuracy.
getAbsoluteAccuracy() - Method in class org.apache.commons.math4.analysis.solvers.BaseAbstractUnivariateSolver: Get the absolute accuracy of the solver.
getAbsoluteAccuracy() - Method in interface org.apache.commons.math4.analysis.solvers.BaseUnivariateSolver: Get the absolute accuracy of the solver.
getAbsoluteAccuracy() - Method in interface org.apache.commons.math4.analysis.solvers.BracketedRealFieldUnivariateSolver: Get the absolute accuracy of the solver.
getAbsoluteAccuracy() - Method in class org.apache.commons.math4.analysis.solvers.FieldBracketingNthOrderBrentSolver: Get the absolute accuracy.
getAdjustedRSquared() - Method in class org.apache.commons.math4.stat.regression.RegressionResults: Returns the adjusted R-squared statistic, defined by the formula R²_adj = 1 - [SSR (n - 1)] / [SSTO (n - p)] where SSR is the sum of squared residuals}, SSTO is the total sum of squares}, n is the number of observations and p is the number of parameters estimated (including the intercept).
getAgrestiCoullInterval(int, int, double) - Static method in class org.apache.commons.math4.stat.interval.IntervalUtils: Create an Agresti-Coull binomial confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
getAllDerivatives() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Get all partial derivatives.
getAlpha() - Method in class org.apache.commons.statistics.distribution.BetaDistribution: Access the first shape parameter, alpha.
getArgument() - Method in exception org.apache.commons.math4.exception.MathIllegalNumberException
getArgument() - Method in class org.apache.commons.numbers.complex.Complex: Compute the argument of this complex number.
getArrayRef() - Method in class org.apache.commons.math4.util.ResizableDoubleArray: Provides direct access to the internal storage array.
getAvailableLocales() - Static method in class org.apache.commons.math4.linear.RealMatrixFormat: Get the set of locales for which real vectors formats are available.
getAvailableLocales() - Static method in class org.apache.commons.math4.linear.RealVectorFormat: Get the set of locales for which real vectors formats are available.
getAvailableLocales() - Static method in class org.apache.commons.numbers.fraction.BigFractionFormat: Get the set of locales for which complex formats are available.
getAvailableLocales() - Static method in class org.apache.commons.numbers.fraction.FractionFormat: Get the set of locales for which complex formats are available.
getB(int, double) - Method in class org.apache.commons.numbers.fraction.ContinuedFraction: Defines the n-th "b" coefficient of the continued fraction.
getBeta() - Method in class org.apache.commons.statistics.distribution.BetaDistribution: Access the second shape parameter, beta.
getBinCount() - Method in class org.apache.commons.math4.distribution.EmpiricalDistribution: Returns the number of bins.
getBinStats() - Method in class org.apache.commons.math4.distribution.EmpiricalDistribution: Returns a List of SummaryStatistics instances containing statistics describing the values in each of the bins.
getBoundIsAllowed() - Method in exception org.apache.commons.math4.exception.NumberIsTooLargeException
getBoundIsAllowed() - Method in exception org.apache.commons.math4.exception.NumberIsTooSmallException
getCapacity() - Method in class org.apache.commons.math4.util.ResizableDoubleArray: Gets the currently allocated size of the internal data structure used for storing elements.
getCategories() - Method in class io.virtdata.continuous.int_double.BetaAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.int_double.CauchyAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.int_double.ChiSquaredAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.int_double.ConstantContinuousAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.int_double.EnumeratedAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.int_double.ExponentialAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.int_double.FAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.int_double.GammaAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.int_double.GumbelAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.int_double.LaplaceAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.int_double.LevyAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.int_double.LogisticAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.int_double.LogNormalAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.int_double.NakagamiAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.int_double.NormalAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.int_double.ParetoAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.int_double.TAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.int_double.TriangularAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.int_double.UniformAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.int_double.WeibullAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.long_double.BetaAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.long_double.CauchyAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.long_double.ChiSquaredAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.long_double.ConstantContinuousAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.long_double.EnumeratedAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.long_double.ExponentialAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.long_double.FAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.long_double.GammaAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.long_double.GumbelAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.long_double.LaplaceAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.long_double.LevyAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.long_double.LogisticAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.long_double.LogNormalAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.long_double.NakagamiAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.long_double.NormalAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.long_double.ParetoAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.long_double.TAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.long_double.TriangularAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.long_double.UniformAutoDocsInfo
getCategories() - Method in class io.virtdata.continuous.long_double.WeibullAutoDocsInfo
getCategories() - Method in class io.virtdata.discrete.int_int.BinomialAutoDocsInfo
getCategories() - Method in class io.virtdata.discrete.int_int.GeometricAutoDocsInfo
getCategories() - Method in class io.virtdata.discrete.int_int.HypergeometricAutoDocsInfo
getCategories() - Method in class io.virtdata.discrete.int_int.PascalAutoDocsInfo
getCategories() - Method in class io.virtdata.discrete.int_int.PoissonAutoDocsInfo
getCategories() - Method in class io.virtdata.discrete.int_int.UniformAutoDocsInfo
getCategories() - Method in class io.virtdata.discrete.int_int.ZipfAutoDocsInfo
getCategories() - Method in class io.virtdata.discrete.int_long.BinomialAutoDocsInfo
getCategories() - Method in class io.virtdata.discrete.int_long.GeometricAutoDocsInfo
getCategories() - Method in class io.virtdata.discrete.int_long.HypergeometricAutoDocsInfo
getCategories() - Method in class io.virtdata.discrete.int_long.PascalAutoDocsInfo
getCategories() - Method in class io.virtdata.discrete.int_long.PoissonAutoDocsInfo
getCategories() - Method in class io.virtdata.discrete.int_long.UniformAutoDocsInfo
getCategories() - Method in class io.virtdata.discrete.int_long.ZipfAutoDocsInfo
getCategories() - Method in class io.virtdata.discrete.long_int.BinomialAutoDocsInfo
getCategories() - Method in class io.virtdata.discrete.long_int.GeometricAutoDocsInfo
getCategories() - Method in class io.virtdata.discrete.long_int.HypergeometricAutoDocsInfo
getCategories() - Method in class io.virtdata.discrete.long_int.PascalAutoDocsInfo
getCategories() - Method in class io.virtdata.discrete.long_int.PoissonAutoDocsInfo
getCategories() - Method in class io.virtdata.discrete.long_int.UniformAutoDocsInfo
getCategories() - Method in class io.virtdata.discrete.long_int.ZipfAutoDocsInfo
getCategories() - Method in class io.virtdata.discrete.long_long.BinomialAutoDocsInfo
getCategories() - Method in class io.virtdata.discrete.long_long.GeometricAutoDocsInfo
getCategories() - Method in class io.virtdata.discrete.long_long.HypergeometricAutoDocsInfo
getCategories() - Method in class io.virtdata.discrete.long_long.PascalAutoDocsInfo
getCategories() - Method in class io.virtdata.discrete.long_long.PoissonAutoDocsInfo
getCategories() - Method in class io.virtdata.discrete.long_long.UniformAutoDocsInfo
getCategories() - Method in class io.virtdata.discrete.long_long.ZipfAutoDocsInfo
getCenters() - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunctionNewtonForm: Returns a copy of the centers array.
getCheck() - Method in class org.apache.commons.math4.linear.ConjugateGradient: Returns true if positive-definiteness should be checked for both matrix and preconditioner.
getCheck() - Method in class org.apache.commons.math4.linear.SymmLQ: Returns true if symmetry of the matrix, and symmetry as well as positive definiteness of the preconditioner should be checked.
getClassJavadoc() - Method in class io.virtdata.continuous.int_double.BetaAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.int_double.CauchyAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.int_double.ChiSquaredAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.int_double.ConstantContinuousAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.int_double.EnumeratedAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.int_double.ExponentialAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.int_double.FAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.int_double.GammaAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.int_double.GumbelAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.int_double.LaplaceAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.int_double.LevyAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.int_double.LogisticAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.int_double.LogNormalAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.int_double.NakagamiAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.int_double.NormalAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.int_double.ParetoAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.int_double.TAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.int_double.TriangularAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.int_double.UniformAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.int_double.WeibullAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.long_double.BetaAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.long_double.CauchyAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.long_double.ChiSquaredAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.long_double.ConstantContinuousAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.long_double.EnumeratedAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.long_double.ExponentialAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.long_double.FAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.long_double.GammaAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.long_double.GumbelAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.long_double.LaplaceAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.long_double.LevyAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.long_double.LogisticAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.long_double.LogNormalAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.long_double.NakagamiAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.long_double.NormalAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.long_double.ParetoAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.long_double.TAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.long_double.TriangularAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.long_double.UniformAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.continuous.long_double.WeibullAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.discrete.int_int.BinomialAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.discrete.int_int.GeometricAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.discrete.int_int.HypergeometricAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.discrete.int_int.PascalAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.discrete.int_int.PoissonAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.discrete.int_int.UniformAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.discrete.int_int.ZipfAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.discrete.int_long.BinomialAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.discrete.int_long.GeometricAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.discrete.int_long.HypergeometricAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.discrete.int_long.PascalAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.discrete.int_long.PoissonAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.discrete.int_long.UniformAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.discrete.int_long.ZipfAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.discrete.long_int.BinomialAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.discrete.long_int.GeometricAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.discrete.long_int.HypergeometricAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.discrete.long_int.PascalAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.discrete.long_int.PoissonAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.discrete.long_int.UniformAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.discrete.long_int.ZipfAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.discrete.long_long.BinomialAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.discrete.long_long.GeometricAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.discrete.long_long.HypergeometricAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.discrete.long_long.PascalAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.discrete.long_long.PoissonAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.discrete.long_long.UniformAutoDocsInfo
getClassJavadoc() - Method in class io.virtdata.discrete.long_long.ZipfAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.int_double.BetaAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.int_double.CauchyAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.int_double.ChiSquaredAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.int_double.ConstantContinuousAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.int_double.EnumeratedAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.int_double.ExponentialAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.int_double.FAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.int_double.GammaAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.int_double.GumbelAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.int_double.LaplaceAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.int_double.LevyAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.int_double.LogisticAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.int_double.LogNormalAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.int_double.NakagamiAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.int_double.NormalAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.int_double.ParetoAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.int_double.TAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.int_double.TriangularAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.int_double.UniformAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.int_double.WeibullAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.long_double.BetaAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.long_double.CauchyAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.long_double.ChiSquaredAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.long_double.ConstantContinuousAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.long_double.EnumeratedAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.long_double.ExponentialAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.long_double.FAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.long_double.GammaAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.long_double.GumbelAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.long_double.LaplaceAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.long_double.LevyAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.long_double.LogisticAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.long_double.LogNormalAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.long_double.NakagamiAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.long_double.NormalAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.long_double.ParetoAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.long_double.TAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.long_double.TriangularAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.long_double.UniformAutoDocsInfo
getClassName() - Method in class io.virtdata.continuous.long_double.WeibullAutoDocsInfo
getClassName() - Method in class io.virtdata.discrete.int_int.BinomialAutoDocsInfo
getClassName() - Method in class io.virtdata.discrete.int_int.GeometricAutoDocsInfo
getClassName() - Method in class io.virtdata.discrete.int_int.HypergeometricAutoDocsInfo
getClassName() - Method in class io.virtdata.discrete.int_int.PascalAutoDocsInfo
getClassName() - Method in class io.virtdata.discrete.int_int.PoissonAutoDocsInfo
getClassName() - Method in class io.virtdata.discrete.int_int.UniformAutoDocsInfo
getClassName() - Method in class io.virtdata.discrete.int_int.ZipfAutoDocsInfo
getClassName() - Method in class io.virtdata.discrete.int_long.BinomialAutoDocsInfo
getClassName() - Method in class io.virtdata.discrete.int_long.GeometricAutoDocsInfo
getClassName() - Method in class io.virtdata.discrete.int_long.HypergeometricAutoDocsInfo
getClassName() - Method in class io.virtdata.discrete.int_long.PascalAutoDocsInfo
getClassName() - Method in class io.virtdata.discrete.int_long.PoissonAutoDocsInfo
getClassName() - Method in class io.virtdata.discrete.int_long.UniformAutoDocsInfo
getClassName() - Method in class io.virtdata.discrete.int_long.ZipfAutoDocsInfo
getClassName() - Method in class io.virtdata.discrete.long_int.BinomialAutoDocsInfo
getClassName() - Method in class io.virtdata.discrete.long_int.GeometricAutoDocsInfo
getClassName() - Method in class io.virtdata.discrete.long_int.HypergeometricAutoDocsInfo
getClassName() - Method in class io.virtdata.discrete.long_int.PascalAutoDocsInfo
getClassName() - Method in class io.virtdata.discrete.long_int.PoissonAutoDocsInfo
getClassName() - Method in class io.virtdata.discrete.long_int.UniformAutoDocsInfo
getClassName() - Method in class io.virtdata.discrete.long_int.ZipfAutoDocsInfo
getClassName() - Method in class io.virtdata.discrete.long_long.BinomialAutoDocsInfo
getClassName() - Method in class io.virtdata.discrete.long_long.GeometricAutoDocsInfo
getClassName() - Method in class io.virtdata.discrete.long_long.HypergeometricAutoDocsInfo
getClassName() - Method in class io.virtdata.discrete.long_long.PascalAutoDocsInfo
getClassName() - Method in class io.virtdata.discrete.long_long.PoissonAutoDocsInfo
getClassName() - Method in class io.virtdata.discrete.long_long.UniformAutoDocsInfo
getClassName() - Method in class io.virtdata.discrete.long_long.ZipfAutoDocsInfo
getClopperPearsonInterval(int, int, double) - Static method in class org.apache.commons.math4.stat.interval.IntervalUtils: Create a Clopper-Pearson binomial confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
getCoefficients() - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunction: Returns a copy of the coefficients array.
getCoefficients() - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunctionLagrangeForm: Returns a copy of the coefficients array.
getCoefficients() - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunctionNewtonForm: Returns a copy of the coefficients array.
getCoefficients() - Method in class org.apache.commons.math4.analysis.solvers.AbstractPolynomialSolver
getColumn() - Method in exception org.apache.commons.math4.linear.NonPositiveDefiniteMatrixException
getColumn() - Method in exception org.apache.commons.math4.linear.NonSymmetricMatrixException
getColumn(int) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Get the entries in column number col as an array.
getColumn(int) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Get the entries at the given column index as an array.
getColumn(int) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Get the entries in column number col as an array.
getColumn(int) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Get the entries at the given column index as an array.
getColumn(int) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Get the entries in column number col as an array.
getColumn(int) - Method in interface org.apache.commons.math4.linear.RealMatrix: Get the entries at the given column index as an array.
getColumnDimension() - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Returns the number of columns of this matrix.
getColumnDimension() - Method in interface org.apache.commons.math4.linear.AnyMatrix: Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math4.linear.Array2DRowFieldMatrix: Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math4.linear.Array2DRowRealMatrix: Returns the number of columns of this matrix.
getColumnDimension() - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Returns the number of columns of this matrix.
getColumnDimension() - Method in class org.apache.commons.math4.linear.DiagonalMatrix: Returns the number of columns of this matrix.
getColumnDimension() - Method in class org.apache.commons.math4.linear.JacobiPreconditioner: Returns the dimension of the domain of this operator.
getColumnDimension() - Method in class org.apache.commons.math4.linear.OpenMapRealMatrix: Returns the number of columns of this matrix.
getColumnDimension() - Method in class org.apache.commons.math4.linear.RealLinearOperator: Returns the dimension of the domain of this operator.
getColumnDimension() - Method in class org.apache.commons.math4.linear.SparseFieldMatrix: Returns the number of columns in the matrix.
getColumnMatrix(int) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Get the entries in column number column as a column matrix.
getColumnMatrix(int) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Get the entries at the given column index as a column matrix.
getColumnMatrix(int) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Get the entries in column number column as a column matrix.
getColumnMatrix(int) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Get the entries at the given column index as a column matrix.
getColumnMatrix(int) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Get the entries in column number column as a column matrix.
getColumnMatrix(int) - Method in interface org.apache.commons.math4.linear.RealMatrix: Get the entries at the given column index as a column matrix.
getColumnSeparator() - Method in class org.apache.commons.math4.linear.RealMatrixFormat: Get the format separator between components.
getColumnVector(int) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Returns the entries in column number column as a vector.
getColumnVector(int) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Get the entries at the given column index as a vector.
getColumnVector(int) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Returns the entries in column number column as a vector.
getColumnVector(int) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Get the entries at the given column index as a vector.
getColumnVector(int) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Returns the entries in column number column as a vector.
getColumnVector(int) - Method in interface org.apache.commons.math4.linear.RealMatrix: Get the entries at the given column index as a vector.
getCompiler(int, int) - Static method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Get the compiler for number of free parameters and order.
getComponents() - Method in class org.apache.commons.math4.distribution.MixtureMultivariateRealDistribution: Gets the distributions that make up the mixture model.
getConditionNumber() - Method in class org.apache.commons.math4.linear.SingularValueDecomposition: Return the condition number of the matrix.
getConfidenceLevel() - Method in class org.apache.commons.math4.stat.interval.ConfidenceInterval
getContext() - Method in exception org.apache.commons.math4.exception.MathRuntimeException: Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions.
getContext() - Method in exception org.apache.commons.math4.exception.NullArgumentException: Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions.
getContext() - Method in interface org.apache.commons.math4.exception.util.ExceptionContextProvider: Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions.
getContractionCriterion() - Method in class org.apache.commons.math4.util.ResizableDoubleArray: The contraction criterion defines when the internal array will contract to store only the number of elements in the element array.
getCorrelationMatrix() - Method in class org.apache.commons.math4.stat.correlation.KendallsCorrelation: Returns the correlation matrix.
getCorrelationMatrix() - Method in class org.apache.commons.math4.stat.correlation.PearsonsCorrelation: Returns the correlation matrix.
getCorrelationMatrix() - Method in class org.apache.commons.math4.stat.correlation.SpearmansCorrelation: Calculate the Spearman Rank Correlation Matrix.
getCorrelationPValues() - Method in class org.apache.commons.math4.stat.correlation.PearsonsCorrelation: Returns a matrix of p-values associated with the (two-sided) null hypothesis that the corresponding correlation coefficient is zero.
getCorrelationStandardErrors() - Method in class org.apache.commons.math4.stat.correlation.PearsonsCorrelation: Returns a matrix of standard errors associated with the estimates in the correlation matrix.
getCorrelationStandardErrors().getEntry(i,j) is the standard error associated with getCorrelationMatrix.getEntry(i,j)
getCount() - Method in class org.apache.commons.math4.util.Incrementor: Deprecated.

Gets the current count.
getCount() - Method in class org.apache.commons.math4.util.IntegerSequence.Incrementor: Gets the current count.
getCount() - Method in class org.apache.commons.math4.util.MultidimensionalCounter.Iterator: Get the current unidimensional counter slot.
getCount(int) - Method in class org.apache.commons.math4.util.MultidimensionalCounter.Iterator: Get the current count in the selected dimension.
getCount(int...) - Method in class org.apache.commons.math4.util.MultidimensionalCounter: Convert to unidimensional counter.
getCount(T) - Method in class org.apache.commons.math4.stat.Frequency: Returns the number of values equal to v.
getCounts() - Method in class org.apache.commons.math4.util.MultidimensionalCounter.Iterator: Get the current multidimensional counter slots.
getCounts(int) - Method in class org.apache.commons.math4.util.MultidimensionalCounter: Convert to multidimensional counter.
getCovariance() - Method in class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics: Returns the covariance matrix of the values that have been added.
getCovariance() - Method in interface org.apache.commons.math4.stat.descriptive.StatisticalMultivariateSummary: Returns the covariance of the available values.
getCovariance() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics: Returns the covariance matrix of the values that have been added.
getCovariance(double) - Method in class org.apache.commons.math4.linear.SingularValueDecomposition: Returns the n × n covariance matrix.
getCovariance(int, int) - Method in class org.apache.commons.math4.stat.correlation.StorelessCovariance: Get the covariance for an individual element of the covariance matrix.
getCovarianceMatrix() - Method in class org.apache.commons.math4.stat.correlation.Covariance: Returns the covariance matrix
getCovarianceMatrix() - Method in class org.apache.commons.math4.stat.correlation.StorelessCovariance: Returns the covariance matrix
getCovarianceOfParameters(int, int) - Method in class org.apache.commons.math4.stat.regression.RegressionResults: Returns the covariance between regression parameters i and j.
getCovariances() - Method in class org.apache.commons.math4.distribution.MultivariateNormalDistribution: Gets the covariance matrix.
getCtors() - Method in class io.virtdata.continuous.int_double.BetaAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.int_double.CauchyAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.int_double.ChiSquaredAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.int_double.ConstantContinuousAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.int_double.EnumeratedAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.int_double.ExponentialAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.int_double.FAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.int_double.GammaAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.int_double.GumbelAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.int_double.LaplaceAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.int_double.LevyAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.int_double.LogisticAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.int_double.LogNormalAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.int_double.NakagamiAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.int_double.NormalAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.int_double.ParetoAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.int_double.TAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.int_double.TriangularAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.int_double.UniformAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.int_double.WeibullAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.long_double.BetaAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.long_double.CauchyAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.long_double.ChiSquaredAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.long_double.ConstantContinuousAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.long_double.EnumeratedAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.long_double.ExponentialAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.long_double.FAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.long_double.GammaAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.long_double.GumbelAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.long_double.LaplaceAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.long_double.LevyAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.long_double.LogisticAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.long_double.LogNormalAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.long_double.NakagamiAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.long_double.NormalAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.long_double.ParetoAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.long_double.TAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.long_double.TriangularAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.long_double.UniformAutoDocsInfo
getCtors() - Method in class io.virtdata.continuous.long_double.WeibullAutoDocsInfo
getCtors() - Method in class io.virtdata.discrete.int_int.BinomialAutoDocsInfo
getCtors() - Method in class io.virtdata.discrete.int_int.GeometricAutoDocsInfo
getCtors() - Method in class io.virtdata.discrete.int_int.HypergeometricAutoDocsInfo
getCtors() - Method in class io.virtdata.discrete.int_int.PascalAutoDocsInfo
getCtors() - Method in class io.virtdata.discrete.int_int.PoissonAutoDocsInfo
getCtors() - Method in class io.virtdata.discrete.int_int.UniformAutoDocsInfo
getCtors() - Method in class io.virtdata.discrete.int_int.ZipfAutoDocsInfo
getCtors() - Method in class io.virtdata.discrete.int_long.BinomialAutoDocsInfo
getCtors() - Method in class io.virtdata.discrete.int_long.GeometricAutoDocsInfo
getCtors() - Method in class io.virtdata.discrete.int_long.HypergeometricAutoDocsInfo
getCtors() - Method in class io.virtdata.discrete.int_long.PascalAutoDocsInfo
getCtors() - Method in class io.virtdata.discrete.int_long.PoissonAutoDocsInfo
getCtors() - Method in class io.virtdata.discrete.int_long.UniformAutoDocsInfo
getCtors() - Method in class io.virtdata.discrete.int_long.ZipfAutoDocsInfo
getCtors() - Method in class io.virtdata.discrete.long_int.BinomialAutoDocsInfo
getCtors() - Method in class io.virtdata.discrete.long_int.GeometricAutoDocsInfo
getCtors() - Method in class io.virtdata.discrete.long_int.HypergeometricAutoDocsInfo
getCtors() - Method in class io.virtdata.discrete.long_int.PascalAutoDocsInfo
getCtors() - Method in class io.virtdata.discrete.long_int.PoissonAutoDocsInfo
getCtors() - Method in class io.virtdata.discrete.long_int.UniformAutoDocsInfo
getCtors() - Method in class io.virtdata.discrete.long_int.ZipfAutoDocsInfo
getCtors() - Method in class io.virtdata.discrete.long_long.BinomialAutoDocsInfo
getCtors() - Method in class io.virtdata.discrete.long_long.GeometricAutoDocsInfo
getCtors() - Method in class io.virtdata.discrete.long_long.HypergeometricAutoDocsInfo
getCtors() - Method in class io.virtdata.discrete.long_long.PascalAutoDocsInfo
getCtors() - Method in class io.virtdata.discrete.long_long.PoissonAutoDocsInfo
getCtors() - Method in class io.virtdata.discrete.long_long.UniformAutoDocsInfo
getCtors() - Method in class io.virtdata.discrete.long_long.ZipfAutoDocsInfo
getCumFreq(T) - Method in class org.apache.commons.math4.stat.Frequency: Returns the cumulative frequency of values less than or equal to v.
getCumPct(T) - Method in class org.apache.commons.math4.stat.Frequency: Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).
getD() - Method in class org.apache.commons.math4.linear.EigenDecomposition: Gets the block diagonal matrix D of the decomposition.
getData() - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math4.linear.Array2DRowFieldMatrix: Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math4.linear.Array2DRowRealMatrix: Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math4.linear.DiagonalMatrix: Returns matrix entries as a two-dimensional array.
getData() - Method in interface org.apache.commons.math4.linear.FieldMatrix: Returns matrix entries as a two-dimensional array.
getData() - Method in interface org.apache.commons.math4.linear.RealMatrix: Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math4.stat.correlation.StorelessCovariance: Return the covariance matrix as two-dimensional array.
getData() - Method in class org.apache.commons.math4.stat.descriptive.AbstractUnivariateStatistic: Get a copy of the stored data array.
getDataRef() - Method in class org.apache.commons.math4.linear.Array2DRowFieldMatrix: Get a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math4.linear.Array2DRowRealMatrix: Get a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Returns a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math4.linear.ArrayRealVector: Get a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math4.linear.DiagonalMatrix: Gets a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math4.stat.descriptive.AbstractUnivariateStatistic: Get a reference to the stored data array.
getDefaultNumberFormat() - Static method in class org.apache.commons.math4.util.CompositeFormat: Create a default number format.
getDefaultNumberFormat() - Static method in class org.apache.commons.numbers.fraction.AbstractFormat: Create a default number format.
getDefaultNumberFormat() - Static method in class org.apache.commons.numbers.fraction.FractionFormat: Create a default number format.
getDefaultNumberFormat(Locale) - Static method in class org.apache.commons.math4.util.CompositeFormat: Create a default number format.
getDefaultNumberFormat(Locale) - Static method in class org.apache.commons.numbers.fraction.AbstractFormat: Create a default number format.
getDegreesOfFreedom() - Method in class org.apache.commons.statistics.distribution.ChiSquaredDistribution: Access the number of degrees of freedom.
getDegreesOfFreedom() - Method in class org.apache.commons.statistics.distribution.TDistribution: Access the degrees of freedom.
getDenominator() - Method in class org.apache.commons.math4.fraction.BigFraction: Access the denominator as a BigInteger.
getDenominator() - Method in class org.apache.commons.math4.fraction.Fraction: Access the denominator.
getDenominator() - Method in class org.apache.commons.numbers.fraction.BigFraction: Access the denominator as a BigInteger.
getDenominator() - Method in class org.apache.commons.numbers.fraction.Fraction: Access the denominator.
getDenominatorAsInt() - Method in class org.apache.commons.math4.fraction.BigFraction: Access the denominator as a int.
getDenominatorAsInt() - Method in class org.apache.commons.numbers.fraction.BigFraction: Access the denominator as a int.
getDenominatorAsLong() - Method in class org.apache.commons.math4.fraction.BigFraction: Access the denominator as a long.
getDenominatorAsLong() - Method in class org.apache.commons.numbers.fraction.BigFraction: Access the denominator as a long.
getDenominatorDegreesOfFreedom() - Method in class org.apache.commons.statistics.distribution.FDistribution: Access the denominator degrees of freedom.
getDenominatorFormat() - Method in class org.apache.commons.numbers.fraction.AbstractFormat: Access the denominator format.
getDerivative(int) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Get the derivative with respect to a particular index variable.
getDeterminant() - Method in class org.apache.commons.math4.linear.CholeskyDecomposition: Return the determinant of the matrix
getDeterminant() - Method in class org.apache.commons.math4.linear.EigenDecomposition: Computes the determinant of the matrix.
getDeterminant() - Method in class org.apache.commons.math4.linear.FieldLUDecomposition: Return the determinant of the matrix.
getDeterminant() - Method in class org.apache.commons.math4.linear.LUDecomposition: Return the determinant of the matrix
getDiagonalOfHatMatrix(double[]) - Method in class org.apache.commons.math4.stat.regression.MillerUpdatingRegression: Gets the diagonal of the Hat matrix also known as the leverage matrix.
getDimension() - Method in class org.apache.commons.math4.analysis.interpolation.InterpolatingMicrosphere: Get the space dimensionality.
getDimension() - Method in class org.apache.commons.math4.distribution.AbstractMultivariateRealDistribution: Gets the number of random variables of the distribution.
getDimension() - Method in interface org.apache.commons.math4.distribution.MultivariateRealDistribution: Gets the number of random variables of the distribution.
getDimension() - Method in exception org.apache.commons.math4.exception.DimensionMismatchException
getDimension() - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math4.linear.ArrayRealVector: Returns the size of the vector.
getDimension() - Method in interface org.apache.commons.math4.linear.FieldVector: Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math4.linear.OpenMapRealVector: Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math4.linear.RealVector: Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math4.linear.SparseFieldVector: Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics: Returns the dimension of the data
getDimension() - Method in interface org.apache.commons.math4.stat.descriptive.StatisticalMultivariateSummary: Returns the dimension of the data
getDimension() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics: Returns the dimension of the data
getDimension() - Method in class org.apache.commons.math4.util.MultidimensionalCounter: Get the number of dimensions of the multidimensional counter.
getDirection() - Method in exception org.apache.commons.math4.exception.NonMonotonicSequenceException
getDistance(OpenMapRealVector) - Method in class org.apache.commons.math4.linear.OpenMapRealVector: Optimized method to compute distance.
getDistance(RealVector) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Distance between two vectors.
getDistance(RealVector) - Method in class org.apache.commons.math4.linear.OpenMapRealVector: Distance between two vectors.
getDistance(RealVector) - Method in class org.apache.commons.math4.linear.RealVector: Distance between two vectors.
getEigenvector(int) - Method in class org.apache.commons.math4.linear.EigenDecomposition: Gets a copy of the i^th eigenvector of the original matrix.
getElement(int) - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Returns the element at the specified index
getElement(int) - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedDescriptiveStatistics: Returns the element at the specified index
getElement(int) - Method in interface org.apache.commons.math4.util.DoubleArray: Returns the element at the specified index.
getElement(int) - Method in class org.apache.commons.math4.util.ResizableDoubleArray: Returns the element at the specified index.
getElements() - Method in interface org.apache.commons.math4.util.DoubleArray: Returns a double[] array containing the elements of this DoubleArray.
getElements() - Method in class org.apache.commons.math4.util.ResizableDoubleArray: Returns a double array containing the elements of this ResizableArray.
getEntry(int) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Returns the entry in the specified index.
getEntry(int) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Return the entry at the specified index.
getEntry(int) - Method in interface org.apache.commons.math4.linear.FieldVector: Returns the entry in the specified index.
getEntry(int) - Method in class org.apache.commons.math4.linear.OpenMapRealVector: Return the entry at the specified index.
getEntry(int) - Method in class org.apache.commons.math4.linear.RealVector: Return the entry at the specified index.
getEntry(int) - Method in class org.apache.commons.math4.linear.SparseFieldVector: Returns the entry in the specified index.
getEntry(int, int) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Get the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math4.linear.Array2DRowFieldMatrix: Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math4.linear.Array2DRowRealMatrix: Get the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Get the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math4.linear.DiagonalMatrix: Get the entry in the specified row and column.
getEntry(int, int) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math4.linear.OpenMapRealMatrix: Get the entry in the specified row and column.
getEntry(int, int) - Method in interface org.apache.commons.math4.linear.RealMatrix: Get the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math4.linear.SparseFieldMatrix: Returns the entry in the specified row and column.
getErrorSumSquares() - Method in class org.apache.commons.math4.stat.regression.RegressionResults: Returns the sum of squared errors (SSE) associated with the regression model.
getEstimationType() - Method in class org.apache.commons.math4.stat.descriptive.rank.Percentile: Get the estimation type used for computation.
getEvaluations() - Method in class org.apache.commons.math4.analysis.integration.BaseAbstractUnivariateIntegrator: Get the number of function evaluations of the last run of the integrator.
getEvaluations() - Method in interface org.apache.commons.math4.analysis.integration.UnivariateIntegrator: Get the number of function evaluations of the last run of the integrator.
getEvaluations() - Method in class org.apache.commons.math4.analysis.solvers.BaseAbstractUnivariateSolver: Get the number of evaluations of the objective function.
getEvaluations() - Method in interface org.apache.commons.math4.analysis.solvers.BaseUnivariateSolver: Get the number of evaluations of the objective function.
getEvaluations() - Method in interface org.apache.commons.math4.analysis.solvers.BracketedRealFieldUnivariateSolver: Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math4.analysis.solvers.FieldBracketingNthOrderBrentSolver: Get the number of evaluations of the objective function.
getExpansionFactor() - Method in class org.apache.commons.math4.util.ResizableDoubleArray: The expansion factor controls the size of a new array when an array needs to be expanded.
getExpansionMode() - Method in class org.apache.commons.math4.util.ResizableDoubleArray: The expansion mode determines whether the internal storage array grows additively or multiplicatively when it is expanded.
getExpectedColumnDimension() - Method in exception org.apache.commons.math4.linear.MatrixDimensionMismatchException
getExpectedDimension(int) - Method in exception org.apache.commons.math4.exception.MultiDimensionMismatchException
getExpectedDimensions() - Method in exception org.apache.commons.math4.exception.MultiDimensionMismatchException
getExpectedRowDimension() - Method in exception org.apache.commons.math4.linear.MatrixDimensionMismatchException
getExponent() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Return the exponent of the instance value, removing the bias.
getExponent() - Method in class org.apache.commons.statistics.distribution.ZipfDistribution: Get the exponent characterizing the distribution.
getExponent(double) - Static method in class org.apache.commons.math4.util.FastMath: Return the exponent of a double number, removing the bias.
getExponent(float) - Static method in class org.apache.commons.math4.util.FastMath: Return the exponent of a float number, removing the bias.
getFHi() - Method in exception org.apache.commons.math4.exception.NoBracketingException: Get the value at the higher end of the interval.
getField() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Get the Field to which the instance belongs.
getField() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Get the Field to which the instance belongs.
getField() - Method in interface org.apache.commons.math4.FieldElement: Get the Field to which the instance belongs.
getField() - Method in class org.apache.commons.math4.fraction.BigFraction: Get the Field to which the instance belongs.
getField() - Method in class org.apache.commons.math4.fraction.Fraction: Get the Field to which the instance belongs.
getField() - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Get the type of field elements of the matrix.
getField() - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Get the type of field elements of the vector.
getField() - Method in interface org.apache.commons.math4.linear.FieldMatrix: Get the type of field elements of the matrix.
getField() - Method in interface org.apache.commons.math4.linear.FieldVector: Get the type of field elements of the vector.
getField() - Method in class org.apache.commons.math4.linear.SparseFieldVector: Get the type of field elements of the vector.
getField() - Method in class org.apache.commons.math4.util.BigReal: Get the Field to which the instance belongs.
getField() - Method in class org.apache.commons.math4.util.Decimal64: Get the Field to which the instance belongs.
getFirst() - Method in class org.apache.commons.math4.util.Pair: Get the first element of the pair.
getFittedModel() - Method in class org.apache.commons.math4.distribution.fitting.MultivariateNormalMixtureExpectationMaximization: Gets the fitted model.
getFLo() - Method in exception org.apache.commons.math4.exception.NoBracketingException: Get the value at the lower end of the interval.
getFormat() - Method in class org.apache.commons.math4.linear.RealMatrixFormat: Get the components format.
getFormat() - Method in class org.apache.commons.math4.linear.RealVectorFormat: Get the components format.
getFreeParameters() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Get the number of free parameters.
getFreeParameters() - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Get the number of free parameters.
getFrobeniusNorm() - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Returns the Frobenius norm of the matrix.
getFrobeniusNorm() - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Returns the Frobenius norm of the matrix.
getFrobeniusNorm() - Method in interface org.apache.commons.math4.linear.RealMatrix: Returns the Frobenius norm of the matrix.
getFunctionValueAccuracy() - Method in class org.apache.commons.math4.analysis.solvers.BaseAbstractUnivariateSolver: Get the function value accuracy of the solver.
getFunctionValueAccuracy() - Method in interface org.apache.commons.math4.analysis.solvers.BaseUnivariateSolver: Get the function value accuracy of the solver.
getFunctionValueAccuracy() - Method in interface org.apache.commons.math4.analysis.solvers.BracketedRealFieldUnivariateSolver: Get the function value accuracy of the solver.
getFunctionValueAccuracy() - Method in class org.apache.commons.math4.analysis.solvers.FieldBracketingNthOrderBrentSolver: Get the function accuracy.
getGenerator() - Method in class org.apache.commons.math4.random.CorrelatedRandomVectorGenerator: Get the underlying normalized components generator.
getGeneratorUpperBounds() - Method in class org.apache.commons.math4.distribution.EmpiricalDistribution: Returns a fresh copy of the array of upper bounds of the subintervals of [0,1] used in generating data from the empirical distribution.
getGeoMeanImpl() - Method in class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics: Returns the currently configured geometric mean implementation
getGeoMeanImpl() - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Returns the currently configured geometric mean implementation
getGeoMeanImpl() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics: Returns the currently configured geometric mean implementation
getGeoMeanImpl() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: Returns the currently configured geometric mean implementation
getGeometricMean() - Method in class org.apache.commons.math4.stat.descriptive.AggregateSummaryStatistics: Returns the geometric mean of all the aggregated data.
getGeometricMean() - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Returns the geometric mean of the available values.
getGeometricMean() - Method in class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics: Returns an array whose i^th entry is the geometric mean of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getGeometricMean() - Method in interface org.apache.commons.math4.stat.descriptive.StatisticalMultivariateSummary: Returns an array whose i^th entry is the geometric mean of the i^th entries of the arrays that correspond to each multivariate sample
getGeometricMean() - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Returns the geometric mean of the values that have been added.
getGeometricMean() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics: Returns an array whose i^th entry is the geometric mean of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getGeometricMean() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: Returns the geometric mean of the values that have been added.
getGeometricMeanImpl() - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Returns the currently configured geometric mean implementation.
getH() - Method in class org.apache.commons.math4.linear.QRDecomposition: Returns the Householder reflector vectors.
getHi() - Method in exception org.apache.commons.math4.exception.NoBracketingException: Get the higher end of the interval.
getHi() - Method in exception org.apache.commons.math4.exception.OutOfRangeException
getImagEigenvalue(int) - Method in class org.apache.commons.math4.linear.EigenDecomposition: Gets the imaginary part of the i^th eigenvalue of the original matrix.
getImagEigenvalues() - Method in class org.apache.commons.math4.linear.EigenDecomposition: Gets a copy of the imaginary parts of the eigenvalues of the original matrix.
getImaginary() - Method in class org.apache.commons.numbers.complex.Complex: Access the imaginary part.
getImproperInstance() - Static method in class org.apache.commons.numbers.fraction.BigFractionFormat: Returns the default complex format for the current locale.
getImproperInstance() - Static method in class org.apache.commons.numbers.fraction.FractionFormat: Returns the default complex format for the current locale.
getImproperInstance(Locale) - Static method in class org.apache.commons.numbers.fraction.BigFractionFormat: Returns the default complex format for the given locale.
getImproperInstance(Locale) - Static method in class org.apache.commons.numbers.fraction.FractionFormat: Returns the default complex format for the given locale.
getIndex() - Method in exception org.apache.commons.math4.exception.NonMonotonicSequenceException: Get the index of the wrong value.
getIndex() - Method in class org.apache.commons.math4.linear.OpenMapRealVector.OpenMapEntry: Get the index of the entry.
getIndex() - Method in class org.apache.commons.math4.linear.RealVector.Entry: Get the index of the entry.
getIndexM1(int) - Method in class org.apache.commons.rng.core.source32.AbstractWell.IndexTable: Returns index + M1 modulo the table size.
getIndexM2(int) - Method in class org.apache.commons.rng.core.source32.AbstractWell.IndexTable: Returns index + M2 modulo the table size.
getIndexM3(int) - Method in class org.apache.commons.rng.core.source32.AbstractWell.IndexTable: Returns index + M3 modulo the table size.
getIndexPred(int) - Method in class org.apache.commons.rng.core.source32.AbstractWell.IndexTable: Returns the predecessor of the given index modulo the table size.
getIndexPred2(int) - Method in class org.apache.commons.rng.core.source32.AbstractWell.IndexTable: Returns the second predecessor of the given index modulo the table size.
getInstance() - Static method in class org.apache.commons.math4.fraction.BigFractionField: Get the unique instance.
getInstance() - Static method in class org.apache.commons.math4.fraction.FractionField: Get the unique instance.
getInstance() - Static method in class org.apache.commons.math4.linear.RealMatrixFormat: Returns the default real vector format for the current locale.
getInstance() - Static method in class org.apache.commons.math4.linear.RealVectorFormat: Returns the default real vector format for the current locale.
getInstance() - Static method in class org.apache.commons.math4.util.BigRealField: Get the unique instance.
getInstance() - Static method in class org.apache.commons.math4.util.Decimal64Field: Returns the unique instance of this class.
getInstance(Locale) - Static method in class org.apache.commons.math4.linear.RealMatrixFormat: Returns the default real vector format for the given locale.
getInstance(Locale) - Static method in class org.apache.commons.math4.linear.RealVectorFormat: Returns the default real vector format for the given locale.
getIntercept() - Method in class org.apache.commons.math4.stat.regression.SimpleRegression: Returns the intercept of the estimated regression line, if SimpleRegression.hasIntercept() is true; otherwise 0.
getInterceptStdErr() - Method in class org.apache.commons.math4.stat.regression.SimpleRegression: Returns the standard error of the intercept estimate, usually denoted s(b0).
getInterpolatingPoints() - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunctionLagrangeForm: Returns a copy of the interpolating points array.
getInterpolatingValues() - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunctionLagrangeForm: Returns a copy of the interpolating values array.
getInType() - Method in class io.virtdata.continuous.int_double.BetaAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.int_double.CauchyAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.int_double.ChiSquaredAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.int_double.ConstantContinuousAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.int_double.EnumeratedAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.int_double.ExponentialAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.int_double.FAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.int_double.GammaAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.int_double.GumbelAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.int_double.LaplaceAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.int_double.LevyAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.int_double.LogisticAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.int_double.LogNormalAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.int_double.NakagamiAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.int_double.NormalAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.int_double.ParetoAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.int_double.TAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.int_double.TriangularAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.int_double.UniformAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.int_double.WeibullAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.long_double.BetaAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.long_double.CauchyAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.long_double.ChiSquaredAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.long_double.ConstantContinuousAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.long_double.EnumeratedAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.long_double.ExponentialAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.long_double.FAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.long_double.GammaAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.long_double.GumbelAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.long_double.LaplaceAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.long_double.LevyAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.long_double.LogisticAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.long_double.LogNormalAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.long_double.NakagamiAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.long_double.NormalAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.long_double.ParetoAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.long_double.TAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.long_double.TriangularAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.long_double.UniformAutoDocsInfo
getInType() - Method in class io.virtdata.continuous.long_double.WeibullAutoDocsInfo
getInType() - Method in class io.virtdata.discrete.int_int.BinomialAutoDocsInfo
getInType() - Method in class io.virtdata.discrete.int_int.GeometricAutoDocsInfo
getInType() - Method in class io.virtdata.discrete.int_int.HypergeometricAutoDocsInfo
getInType() - Method in class io.virtdata.discrete.int_int.PascalAutoDocsInfo
getInType() - Method in class io.virtdata.discrete.int_int.PoissonAutoDocsInfo
getInType() - Method in class io.virtdata.discrete.int_int.UniformAutoDocsInfo
getInType() - Method in class io.virtdata.discrete.int_int.ZipfAutoDocsInfo
getInType() - Method in class io.virtdata.discrete.int_long.BinomialAutoDocsInfo
getInType() - Method in class io.virtdata.discrete.int_long.GeometricAutoDocsInfo
getInType() - Method in class io.virtdata.discrete.int_long.HypergeometricAutoDocsInfo
getInType() - Method in class io.virtdata.discrete.int_long.PascalAutoDocsInfo
getInType() - Method in class io.virtdata.discrete.int_long.PoissonAutoDocsInfo
getInType() - Method in class io.virtdata.discrete.int_long.UniformAutoDocsInfo
getInType() - Method in class io.virtdata.discrete.int_long.ZipfAutoDocsInfo
getInType() - Method in class io.virtdata.discrete.long_int.BinomialAutoDocsInfo
getInType() - Method in class io.virtdata.discrete.long_int.GeometricAutoDocsInfo
getInType() - Method in class io.virtdata.discrete.long_int.HypergeometricAutoDocsInfo
getInType() - Method in class io.virtdata.discrete.long_int.PascalAutoDocsInfo
getInType() - Method in class io.virtdata.discrete.long_int.PoissonAutoDocsInfo
getInType() - Method in class io.virtdata.discrete.long_int.UniformAutoDocsInfo
getInType() - Method in class io.virtdata.discrete.long_int.ZipfAutoDocsInfo
getInType() - Method in class io.virtdata.discrete.long_long.BinomialAutoDocsInfo
getInType() - Method in class io.virtdata.discrete.long_long.GeometricAutoDocsInfo
getInType() - Method in class io.virtdata.discrete.long_long.HypergeometricAutoDocsInfo
getInType() - Method in class io.virtdata.discrete.long_long.PascalAutoDocsInfo
getInType() - Method in class io.virtdata.discrete.long_long.PoissonAutoDocsInfo
getInType() - Method in class io.virtdata.discrete.long_long.UniformAutoDocsInfo
getInType() - Method in class io.virtdata.discrete.long_long.ZipfAutoDocsInfo
getInverse() - Method in interface org.apache.commons.math4.linear.DecompositionSolver: Get the pseudo-inverse of the decomposed matrix.
getInverse() - Method in interface org.apache.commons.math4.linear.FieldDecompositionSolver: Get the inverse (or pseudo-inverse) of the decomposed matrix.
getInverseConditionNumber() - Method in class org.apache.commons.math4.linear.SingularValueDecomposition: Computes the inverse of the condition number.
getIterationManager() - Method in class org.apache.commons.math4.linear.IterativeLinearSolver: Returns the iteration manager attached to this solver.
getIterations() - Method in class org.apache.commons.math4.analysis.integration.BaseAbstractUnivariateIntegrator: Get the number of iterations of the last run of the integrator.
getIterations() - Method in interface org.apache.commons.math4.analysis.integration.UnivariateIntegrator: Get the number of iterations of the last run of the integrator.
getIterations() - Method in class org.apache.commons.math4.util.IterationEvent: Returns the number of iterations performed at the time this event is created.
getIterations() - Method in class org.apache.commons.math4.util.IterationManager: Returns the number of iterations of this solver, 0 if no iterations has been performed yet.
getK() - Method in class org.apache.commons.numbers.combinatorics.Combinations: Gets the number of elements in each combination.
getK() - Method in class org.apache.commons.numbers.combinatorics.Combinations.LexicographicComparator: Gets the number of elements in each combination.
getKernel(SummaryStatistics) - Method in class org.apache.commons.math4.distribution.EmpiricalDistribution: The within-bin smoothing kernel.
getKey() - Method in class org.apache.commons.math4.util.Pair: Get the key.
getKeys() - Method in class org.apache.commons.math4.exception.util.ExceptionContext: Gets all the keys stored in the exception
getKnots() - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialSplineFunction: Get an array copy of the knot points.
getKthSelector() - Method in class org.apache.commons.math4.stat.descriptive.rank.Percentile: Get the kthSelector used for computation.
getKurtosis() - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Returns the Kurtosis of the available values.
getKurtosisImpl() - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Returns the currently configured kurtosis implementation.
getL() - Method in class org.apache.commons.math4.linear.CholeskyDecomposition: Returns the matrix L of the decomposition.
getL() - Method in class org.apache.commons.math4.linear.FieldLUDecomposition: Returns the matrix L of the decomposition.
getL() - Method in class org.apache.commons.math4.linear.LUDecomposition: Returns the matrix L of the decomposition.
getL1Distance(OpenMapRealVector) - Method in class org.apache.commons.math4.linear.OpenMapRealVector: Distance between two vectors.
getL1Distance(RealVector) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Distance between two vectors.
getL1Distance(RealVector) - Method in class org.apache.commons.math4.linear.OpenMapRealVector: Distance between two vectors.
getL1Distance(RealVector) - Method in class org.apache.commons.math4.linear.RealVector: Distance between two vectors.
getL1Norm() - Method in class org.apache.commons.math4.linear.ArrayRealVector: Returns the L₁ norm of the vector.
getL1Norm() - Method in class org.apache.commons.math4.linear.RealVector: Returns the L₁ norm of the vector.
getLInfDistance(RealVector) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Distance between two vectors.
getLInfDistance(RealVector) - Method in class org.apache.commons.math4.linear.OpenMapRealVector: Distance between two vectors.
getLInfDistance(RealVector) - Method in class org.apache.commons.math4.linear.RealVector: Distance between two vectors.
getLInfNorm() - Method in class org.apache.commons.math4.linear.ArrayRealVector: Returns the L_∞ norm of the vector.
getLInfNorm() - Method in class org.apache.commons.math4.linear.RealVector: Returns the L_∞ norm of the vector.
getLo() - Method in exception org.apache.commons.math4.exception.NoBracketingException: Get the lower end of the interval.
getLo() - Method in exception org.apache.commons.math4.exception.OutOfRangeException
getLocalizedMessage() - Method in exception org.apache.commons.math4.exception.MathRuntimeException
getLocalizedMessage() - Method in exception org.apache.commons.math4.exception.NullArgumentException
getLocalizedMessage() - Method in class org.apache.commons.math4.exception.util.ExceptionContext: Gets the message in the default locale.
getLocalizedString(Locale) - Method in class org.apache.commons.math4.exception.util.DummyLocalizable: Gets the localized string.
getLocalizedString(Locale) - Method in interface org.apache.commons.math4.exception.util.Localizable: Gets the localized string.
getLocalizedString(Locale) - Method in enum org.apache.commons.math4.exception.util.LocalizedFormats: Gets the localized string.
getLocation() - Method in class org.apache.commons.statistics.distribution.GumbelDistribution: Gets the location parameter.
getLocation() - Method in class org.apache.commons.statistics.distribution.LaplaceDistribution: Access the location parameter, mu.
getLocation() - Method in class org.apache.commons.statistics.distribution.LevyDistribution: Gets the location parameter of the distribution.
getLocation() - Method in class org.apache.commons.statistics.distribution.LogisticDistribution: Gets the location parameter.
getLogLikelihood() - Method in class org.apache.commons.math4.distribution.fitting.MultivariateNormalMixtureExpectationMaximization: Gets the log likelihood of the data under the fitted model.
getLowerBound() - Method in class org.apache.commons.math4.stat.interval.ConfidenceInterval
getLT() - Method in class org.apache.commons.math4.linear.CholeskyDecomposition: Returns the transpose of the matrix L of the decomposition.
getMax() - Method in class org.apache.commons.math4.analysis.integration.BaseAbstractUnivariateIntegrator
getMax() - Method in class org.apache.commons.math4.analysis.solvers.BaseAbstractUnivariateSolver
getMax() - Method in exception org.apache.commons.math4.exception.MaxCountExceededException
getMax() - Method in exception org.apache.commons.math4.exception.NumberIsTooLargeException
getMax() - Method in class org.apache.commons.math4.stat.descriptive.AggregateSummaryStatistics: Returns the maximum of the available values
getMax() - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Returns the maximum of the available values
getMax() - Method in class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics: Returns an array whose i^th entry is the maximum of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getMax() - Method in interface org.apache.commons.math4.stat.descriptive.StatisticalMultivariateSummary: Returns an array whose i^th entry is the maximum of the i^th entries of the arrays that correspond to each multivariate sample
getMax() - Method in interface org.apache.commons.math4.stat.descriptive.StatisticalSummary: Returns the maximum of the available values
getMax() - Method in class org.apache.commons.math4.stat.descriptive.StatisticalSummaryValues
getMax() - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Returns the maximum of the values that have been added.
getMax() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics: Returns an array whose i^th entry is the maximum of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getMax() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: Returns the maximum of the values that have been added.
getMaxEvaluations() - Method in class org.apache.commons.math4.analysis.solvers.BaseAbstractUnivariateSolver: Get the maximum number of function evaluations.
getMaxEvaluations() - Method in interface org.apache.commons.math4.analysis.solvers.BaseUnivariateSolver: Get the maximum number of function evaluations.
getMaxEvaluations() - Method in interface org.apache.commons.math4.analysis.solvers.BracketedRealFieldUnivariateSolver: Get the maximum number of function evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math4.analysis.solvers.FieldBracketingNthOrderBrentSolver: Get the maximal number of function evaluations.
getMaximalCount() - Method in class org.apache.commons.math4.util.Incrementor: Deprecated.

Gets the upper limit of the counter.
getMaximalCount() - Method in class org.apache.commons.math4.util.IntegerSequence.Incrementor: Gets the upper limit of the counter.
getMaximalIterationCount() - Method in class org.apache.commons.math4.analysis.integration.BaseAbstractUnivariateIntegrator: Get the upper limit for the number of iterations.
getMaximalIterationCount() - Method in interface org.apache.commons.math4.analysis.integration.UnivariateIntegrator: Get the upper limit for the number of iterations.
getMaximalOrder() - Method in class org.apache.commons.math4.analysis.solvers.BracketingNthOrderBrentSolver: Get the maximal order.
getMaximalOrder() - Method in class org.apache.commons.math4.analysis.solvers.FieldBracketingNthOrderBrentSolver: Get the maximal order.
getMaxImpl() - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Returns the currently configured maximum implementation.
getMaxImpl() - Method in class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics: Returns the currently configured maximum implementation
getMaxImpl() - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Returns the currently configured maximum implementation
getMaxImpl() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics: Returns the currently configured maximum implementation
getMaxImpl() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: Returns the currently configured maximum implementation
getMaxIndex() - Method in class org.apache.commons.math4.linear.RealVector: Get the index of the maximum entry.
getMaxIterations() - Method in class org.apache.commons.math4.util.IterationManager: Returns the maximum number of iterations.
getMaxMean() - Method in class org.apache.commons.rng.sampling.distribution.PoissonSamplerCache: Gets the maximum mean covered by the cache.
getMaxValue() - Method in class org.apache.commons.math4.linear.RealVector: Get the value of the maximum entry.
getMean() - Method in class org.apache.commons.math4.distribution.EmpiricalDistribution: Gets the mean of this distribution.
getMean() - Method in class org.apache.commons.math4.distribution.EnumeratedIntegerDistribution: Gets the mean of this distribution.
getMean() - Method in class org.apache.commons.math4.distribution.EnumeratedRealDistribution: Gets the mean of this distribution.
getMean() - Method in class org.apache.commons.math4.stat.descriptive.AggregateSummaryStatistics: Returns the arithmetic mean of the available values
getMean() - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Returns the arithmetic mean of the available values
getMean() - Method in class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics: Returns an array whose i^th entry is the mean of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getMean() - Method in interface org.apache.commons.math4.stat.descriptive.StatisticalMultivariateSummary: Returns an array whose i^th entry is the mean of the i^th entries of the arrays that correspond to each multivariate sample
getMean() - Method in interface org.apache.commons.math4.stat.descriptive.StatisticalSummary: Returns the arithmetic mean of the available values
getMean() - Method in class org.apache.commons.math4.stat.descriptive.StatisticalSummaryValues
getMean() - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Returns the mean of the values that have been added.
getMean() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics: Returns an array whose i^th entry is the mean of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getMean() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: Returns the mean of the values that have been added.
getMean() - Method in class org.apache.commons.statistics.distribution.BetaDistribution: Gets the mean of this distribution.
getMean() - Method in class org.apache.commons.statistics.distribution.BinomialDistribution: Gets the mean of this distribution.
getMean() - Method in class org.apache.commons.statistics.distribution.CauchyDistribution: Gets the mean of this distribution.
getMean() - Method in class org.apache.commons.statistics.distribution.ChiSquaredDistribution: Gets the mean of this distribution.
getMean() - Method in class org.apache.commons.statistics.distribution.ConstantContinuousDistribution: Gets the mean of this distribution.
getMean() - Method in interface org.apache.commons.statistics.distribution.ContinuousDistribution: Gets the mean of this distribution.
getMean() - Method in interface org.apache.commons.statistics.distribution.DiscreteDistribution: Gets the mean of this distribution.
getMean() - Method in class org.apache.commons.statistics.distribution.ExponentialDistribution: Gets the mean of this distribution.
getMean() - Method in class org.apache.commons.statistics.distribution.FDistribution: Gets the mean of this distribution.
getMean() - Method in class org.apache.commons.statistics.distribution.GammaDistribution: Gets the mean of this distribution.
getMean() - Method in class org.apache.commons.statistics.distribution.GeometricDistribution: Gets the mean of this distribution.
getMean() - Method in class org.apache.commons.statistics.distribution.GumbelDistribution: Gets the mean of this distribution.
getMean() - Method in class org.apache.commons.statistics.distribution.HypergeometricDistribution: Gets the mean of this distribution.
getMean() - Method in class org.apache.commons.statistics.distribution.LaplaceDistribution: Gets the mean of this distribution.
getMean() - Method in class org.apache.commons.statistics.distribution.LevyDistribution: Gets the mean of this distribution.
getMean() - Method in class org.apache.commons.statistics.distribution.LogisticDistribution: Gets the mean of this distribution.
getMean() - Method in class org.apache.commons.statistics.distribution.LogNormalDistribution: Gets the mean of this distribution.
getMean() - Method in class org.apache.commons.statistics.distribution.NakagamiDistribution: Gets the mean of this distribution.
getMean() - Method in class org.apache.commons.statistics.distribution.NormalDistribution: Gets the mean of this distribution.
getMean() - Method in class org.apache.commons.statistics.distribution.ParetoDistribution: Gets the mean of this distribution.
getMean() - Method in class org.apache.commons.statistics.distribution.PascalDistribution: Gets the mean of this distribution.
getMean() - Method in class org.apache.commons.statistics.distribution.PoissonDistribution: Gets the mean of this distribution.
getMean() - Method in class org.apache.commons.statistics.distribution.TDistribution: Gets the mean of this distribution.
getMean() - Method in class org.apache.commons.statistics.distribution.TriangularDistribution: Gets the mean of this distribution.
getMean() - Method in class org.apache.commons.statistics.distribution.UniformContinuousDistribution: Gets the mean of this distribution.
getMean() - Method in class org.apache.commons.statistics.distribution.UniformDiscreteDistribution: Gets the mean of this distribution.
getMean() - Method in class org.apache.commons.statistics.distribution.WeibullDistribution: Gets the mean of this distribution.
getMean() - Method in class org.apache.commons.statistics.distribution.ZipfDistribution: Gets the mean of this distribution.
getMeanImpl() - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Returns the currently configured mean implementation.
getMeanImpl() - Method in class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics: Returns the currently configured mean implementation
getMeanImpl() - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Returns the currently configured mean implementation
getMeanImpl() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics: Returns the currently configured mean implementation
getMeanImpl() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: Returns the currently configured mean implementation
getMeans() - Method in class org.apache.commons.math4.distribution.MultivariateNormalDistribution: Gets the mean vector.
getMeanSquareError() - Method in class org.apache.commons.math4.stat.regression.RegressionResults: Returns the sum of squared errors divided by the degrees of freedom, usually abbreviated MSE.
getMeanSquareError() - Method in class org.apache.commons.math4.stat.regression.SimpleRegression: Returns the sum of squared errors divided by the degrees of freedom, usually abbreviated MSE.
getMedian() - Method in class org.apache.commons.statistics.distribution.CauchyDistribution: Access the median.
getMessage() - Method in exception org.apache.commons.math4.exception.MathRuntimeException
getMessage() - Method in exception org.apache.commons.math4.exception.NullArgumentException
getMessage() - Method in class org.apache.commons.math4.exception.util.ExceptionContext: Gets the default message.
getMessage(Locale) - Method in class org.apache.commons.math4.exception.util.ExceptionContext: Gets the message in a specified locale.
getMessage(Locale, String) - Method in class org.apache.commons.math4.exception.util.ExceptionContext: Gets the message in a specified locale.
getMin() - Method in class org.apache.commons.math4.analysis.integration.BaseAbstractUnivariateIntegrator
getMin() - Method in class org.apache.commons.math4.analysis.solvers.BaseAbstractUnivariateSolver
getMin() - Method in exception org.apache.commons.math4.exception.NumberIsTooSmallException
getMin() - Method in class org.apache.commons.math4.stat.descriptive.AggregateSummaryStatistics: Returns the minimum of the available values
getMin() - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Returns the minimum of the available values
getMin() - Method in class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics: Returns an array whose i^th entry is the minimum of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getMin() - Method in interface org.apache.commons.math4.stat.descriptive.StatisticalMultivariateSummary: Returns an array whose i^th entry is the minimum of the i^th entries of the arrays that correspond to each multivariate sample
getMin() - Method in interface org.apache.commons.math4.stat.descriptive.StatisticalSummary: Returns the minimum of the available values
getMin() - Method in class org.apache.commons.math4.stat.descriptive.StatisticalSummaryValues
getMin() - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Returns the minimum of the values that have been added.
getMin() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics: Returns an array whose i^th entry is the minimum of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getMin() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: Returns the minimum of the values that have been added.
getMinimalIterationCount() - Method in class org.apache.commons.math4.analysis.integration.BaseAbstractUnivariateIntegrator: Get the min limit for the number of iterations.
getMinimalIterationCount() - Method in interface org.apache.commons.math4.analysis.integration.UnivariateIntegrator: Get the min limit for the number of iterations.
getMinImpl() - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Returns the currently configured minimum implementation.
getMinImpl() - Method in class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics: Returns the currently configured minimum implementation
getMinImpl() - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Returns the currently configured minimum implementation
getMinImpl() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics: Returns the currently configured minimum implementation
getMinImpl() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: Returns the currently configured minimum implementation
getMinimumCachedMean() - Static method in class org.apache.commons.rng.sampling.distribution.PoissonSamplerCache: Gets the minimum mean value that can be cached.
getMinIndex() - Method in class org.apache.commons.math4.linear.RealVector: Get the index of the minimum entry.
getMinMean() - Method in class org.apache.commons.rng.sampling.distribution.PoissonSamplerCache: Gets the minimum mean covered by the cache.
getMinValue() - Method in class org.apache.commons.math4.linear.RealVector: Get the value of the minimum entry.
getMode() - Method in class org.apache.commons.math4.stat.Frequency: Returns the mode value(s) in comparator order.
getMode() - Method in class org.apache.commons.statistics.distribution.TriangularDistribution: Gets the mode.
getN() - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialSplineFunction: Get the number of spline segments.
getN() - Method in class org.apache.commons.math4.stat.correlation.Covariance: Returns the number of observations (length of covariate vectors)
getN() - Method in class org.apache.commons.math4.stat.correlation.StorelessCovariance: This Covariance method is not supported by a StorelessCovariance, since the number of bivariate observations does not have to be the same for different pairs of covariates - i.e., N as defined in Covariance.getN() is undefined.
getN() - Method in class org.apache.commons.math4.stat.descriptive.AggregateSummaryStatistics: Returns the number of available values
getN() - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Returns the number of available values
getN() - Method in class org.apache.commons.math4.stat.descriptive.moment.GeometricMean: Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math4.stat.descriptive.moment.Kurtosis: Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math4.stat.descriptive.moment.Mean: Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math4.stat.descriptive.moment.Skewness: Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math4.stat.descriptive.moment.StandardDeviation: Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math4.stat.descriptive.moment.Variance: Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math4.stat.descriptive.moment.VectorialCovariance: Get the number of vectors in the sample.
getN() - Method in class org.apache.commons.math4.stat.descriptive.moment.VectorialMean: Get the number of vectors in the sample.
getN() - Method in class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics: Returns the number of available values
getN() - Method in class org.apache.commons.math4.stat.descriptive.rank.Max: Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math4.stat.descriptive.rank.Min: Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math4.stat.descriptive.rank.PSquarePercentile: Returns the number of values that have been added.
getN() - Method in interface org.apache.commons.math4.stat.descriptive.StatisticalMultivariateSummary: Returns the number of available values
getN() - Method in interface org.apache.commons.math4.stat.descriptive.StatisticalSummary: Returns the number of available values
getN() - Method in class org.apache.commons.math4.stat.descriptive.StatisticalSummaryValues
getN() - Method in interface org.apache.commons.math4.stat.descriptive.StorelessUnivariateStatistic: Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math4.stat.descriptive.summary.Product: Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math4.stat.descriptive.summary.Sum: Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math4.stat.descriptive.summary.SumOfLogs: Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math4.stat.descriptive.summary.SumOfSquares: Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Returns the number of available values
getN() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedDescriptiveStatistics: Returns the number of available values
getN() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics: Returns the number of available values
getN() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: Returns the number of available values
getN() - Method in class org.apache.commons.math4.stat.regression.MillerUpdatingRegression: Gets the number of observations added to the regression model.
getN() - Method in class org.apache.commons.math4.stat.regression.RegressionResults: Returns the number of observations added to the regression model.
getN() - Method in class org.apache.commons.math4.stat.regression.SimpleRegression: Returns the number of observations that have been added to the model.
getN() - Method in interface org.apache.commons.math4.stat.regression.UpdatingMultipleLinearRegression: Returns the number of observations added to the regression model.
getN() - Method in class org.apache.commons.numbers.combinatorics.Combinations: Gets the size of the set from which combinations are drawn.
getN() - Method in class org.apache.commons.numbers.combinatorics.Combinations.LexicographicComparator: Gets the size of the set from which combinations are drawn.
getNanStrategy() - Method in class org.apache.commons.math4.stat.ranking.NaturalRanking: Return the NaNStrategy
getNaNStrategy() - Method in class org.apache.commons.math4.stat.descriptive.rank.Percentile: Get the NaN Handling strategy used for computation.
getNbPoints() - Method in class org.apache.commons.math4.analysis.differentiation.FiniteDifferencesDifferentiator: Get the number of points to use.
getNewtonCoefficients() - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunctionNewtonForm: Returns a copy of coefficients in Newton form formula.
getNextIndex() - Method in class org.apache.commons.math4.random.HaltonSequenceGenerator: Returns the index i of the next point in the Halton sequence that will be returned by calling HaltonSequenceGenerator.nextVector().
getNextIndex() - Method in class org.apache.commons.math4.random.SobolSequenceGenerator: Returns the index i of the next point in the Sobol sequence that will be returned by calling SobolSequenceGenerator.nextVector().
getNorm() - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Returns the maximum absolute row sum norm of the matrix.
getNorm() - Method in class org.apache.commons.math4.linear.ArrayRealVector: Returns the L₂ norm of the vector.
getNorm() - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Returns the maximum absolute row sum norm of the matrix.
getNorm() - Method in interface org.apache.commons.math4.linear.RealMatrix: Returns the maximum absolute row sum norm of the matrix.
getNorm() - Method in class org.apache.commons.math4.linear.RealVector: Returns the L₂ norm of the vector.
getNorm() - Method in class org.apache.commons.math4.linear.SingularValueDecomposition: Returns the L₂ norm of the matrix.
getNormalApproximationInterval(int, int, double) - Static method in class org.apache.commons.math4.stat.interval.IntervalUtils: Create a binomial confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level using the Normal approximation to the binomial distribution.
getNormOfResidual() - Method in class org.apache.commons.math4.linear.DefaultIterativeLinearSolverEvent: Returns the norm of the residual.
getNormOfResidual() - Method in class org.apache.commons.math4.linear.IterativeLinearSolverEvent: Returns the norm of the residual.
getNumberOfElements() - Method in class org.apache.commons.statistics.distribution.ZipfDistribution: Get the number of elements (e.g.
getNumberOfParameters() - Method in class org.apache.commons.math4.stat.regression.RegressionResults: Returns the number of parameters estimated in the model.
getNumberOfPoints() - Method in class org.apache.commons.math4.analysis.integration.gauss.GaussIntegrator
getNumberOfSuccesses() - Method in class org.apache.commons.statistics.distribution.HypergeometricDistribution: Access the number of successes.
getNumberOfSuccesses() - Method in class org.apache.commons.statistics.distribution.PascalDistribution: Access the number of successes for this distribution.
getNumberOfTrials() - Method in class org.apache.commons.statistics.distribution.BinomialDistribution: Access the number of trials for this distribution.
getNumElements() - Method in interface org.apache.commons.math4.util.DoubleArray: Returns the number of elements currently in the array.
getNumElements() - Method in class org.apache.commons.math4.util.ResizableDoubleArray: Returns the number of elements currently in the array.
getNumerator() - Method in class org.apache.commons.math4.fraction.BigFraction: Access the numerator as a BigInteger.
getNumerator() - Method in class org.apache.commons.math4.fraction.Fraction: Access the numerator.
getNumerator() - Method in class org.apache.commons.numbers.fraction.BigFraction: Access the numerator as a BigInteger.
getNumerator() - Method in class org.apache.commons.numbers.fraction.Fraction: Access the numerator.
getNumeratorAsInt() - Method in class org.apache.commons.math4.fraction.BigFraction: Access the numerator as a int.
getNumeratorAsInt() - Method in class org.apache.commons.numbers.fraction.BigFraction: Access the numerator as a int.
getNumeratorAsLong() - Method in class org.apache.commons.math4.fraction.BigFraction: Access the numerator as a long.
getNumeratorAsLong() - Method in class org.apache.commons.numbers.fraction.BigFraction: Access the numerator as a long.
getNumeratorDegreesOfFreedom() - Method in class org.apache.commons.statistics.distribution.FDistribution: Access the numerator degrees of freedom.
getNumeratorFormat() - Method in class org.apache.commons.numbers.fraction.AbstractFormat: Access the numerator format.
getOmegaInverse() - Method in class org.apache.commons.math4.stat.regression.GLSMultipleLinearRegression: Get the inverse of the covariance.
getOne() - Method in interface org.apache.commons.math4.Field: Get the multiplicative identity of the field.
getOne() - Method in class org.apache.commons.math4.fraction.BigFractionField: Get the multiplicative identity of the field.
getOne() - Method in class org.apache.commons.math4.fraction.FractionField: Get the multiplicative identity of the field.
getOne() - Method in class org.apache.commons.math4.util.BigRealField: Get the multiplicative identity of the field.
getOne() - Method in class org.apache.commons.math4.util.Decimal64Field: Get the multiplicative identity of the field.
getOrder() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Get the derivation order.
getOrder() - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Get the derivation order.
getOrderOfRegressors() - Method in class org.apache.commons.math4.stat.regression.MillerUpdatingRegression: Gets the order of the regressors, useful if some type of reordering has been called.
getOutType() - Method in class io.virtdata.continuous.int_double.BetaAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.int_double.CauchyAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.int_double.ChiSquaredAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.int_double.ConstantContinuousAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.int_double.EnumeratedAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.int_double.ExponentialAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.int_double.FAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.int_double.GammaAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.int_double.GumbelAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.int_double.LaplaceAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.int_double.LevyAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.int_double.LogisticAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.int_double.LogNormalAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.int_double.NakagamiAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.int_double.NormalAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.int_double.ParetoAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.int_double.TAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.int_double.TriangularAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.int_double.UniformAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.int_double.WeibullAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.long_double.BetaAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.long_double.CauchyAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.long_double.ChiSquaredAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.long_double.ConstantContinuousAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.long_double.EnumeratedAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.long_double.ExponentialAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.long_double.FAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.long_double.GammaAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.long_double.GumbelAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.long_double.LaplaceAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.long_double.LevyAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.long_double.LogisticAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.long_double.LogNormalAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.long_double.NakagamiAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.long_double.NormalAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.long_double.ParetoAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.long_double.TAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.long_double.TriangularAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.long_double.UniformAutoDocsInfo
getOutType() - Method in class io.virtdata.continuous.long_double.WeibullAutoDocsInfo
getOutType() - Method in class io.virtdata.discrete.int_int.BinomialAutoDocsInfo
getOutType() - Method in class io.virtdata.discrete.int_int.GeometricAutoDocsInfo
getOutType() - Method in class io.virtdata.discrete.int_int.HypergeometricAutoDocsInfo
getOutType() - Method in class io.virtdata.discrete.int_int.PascalAutoDocsInfo
getOutType() - Method in class io.virtdata.discrete.int_int.PoissonAutoDocsInfo
getOutType() - Method in class io.virtdata.discrete.int_int.UniformAutoDocsInfo
getOutType() - Method in class io.virtdata.discrete.int_int.ZipfAutoDocsInfo
getOutType() - Method in class io.virtdata.discrete.int_long.BinomialAutoDocsInfo
getOutType() - Method in class io.virtdata.discrete.int_long.GeometricAutoDocsInfo
getOutType() - Method in class io.virtdata.discrete.int_long.HypergeometricAutoDocsInfo
getOutType() - Method in class io.virtdata.discrete.int_long.PascalAutoDocsInfo
getOutType() - Method in class io.virtdata.discrete.int_long.PoissonAutoDocsInfo
getOutType() - Method in class io.virtdata.discrete.int_long.UniformAutoDocsInfo
getOutType() - Method in class io.virtdata.discrete.int_long.ZipfAutoDocsInfo
getOutType() - Method in class io.virtdata.discrete.long_int.BinomialAutoDocsInfo
getOutType() - Method in class io.virtdata.discrete.long_int.GeometricAutoDocsInfo
getOutType() - Method in class io.virtdata.discrete.long_int.HypergeometricAutoDocsInfo
getOutType() - Method in class io.virtdata.discrete.long_int.PascalAutoDocsInfo
getOutType() - Method in class io.virtdata.discrete.long_int.PoissonAutoDocsInfo
getOutType() - Method in class io.virtdata.discrete.long_int.UniformAutoDocsInfo
getOutType() - Method in class io.virtdata.discrete.long_int.ZipfAutoDocsInfo
getOutType() - Method in class io.virtdata.discrete.long_long.BinomialAutoDocsInfo
getOutType() - Method in class io.virtdata.discrete.long_long.GeometricAutoDocsInfo
getOutType() - Method in class io.virtdata.discrete.long_long.HypergeometricAutoDocsInfo
getOutType() - Method in class io.virtdata.discrete.long_long.PascalAutoDocsInfo
getOutType() - Method in class io.virtdata.discrete.long_long.PoissonAutoDocsInfo
getOutType() - Method in class io.virtdata.discrete.long_long.UniformAutoDocsInfo
getOutType() - Method in class io.virtdata.discrete.long_long.ZipfAutoDocsInfo
getP() - Method in class org.apache.commons.math4.linear.FieldLUDecomposition: Returns the P rows permutation matrix.
getP() - Method in class org.apache.commons.math4.linear.LUDecomposition: Returns the P rows permutation matrix.
getP() - Method in class org.apache.commons.math4.linear.RRQRDecomposition: Returns the pivot matrix, P, used in the QR Decomposition of matrix A such that AP = QR.
getPackageName() - Method in class io.virtdata.continuous.int_double.BetaAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.int_double.CauchyAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.int_double.ChiSquaredAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.int_double.ConstantContinuousAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.int_double.EnumeratedAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.int_double.ExponentialAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.int_double.FAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.int_double.GammaAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.int_double.GumbelAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.int_double.LaplaceAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.int_double.LevyAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.int_double.LogisticAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.int_double.LogNormalAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.int_double.NakagamiAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.int_double.NormalAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.int_double.ParetoAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.int_double.TAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.int_double.TriangularAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.int_double.UniformAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.int_double.WeibullAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.long_double.BetaAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.long_double.CauchyAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.long_double.ChiSquaredAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.long_double.ConstantContinuousAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.long_double.EnumeratedAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.long_double.ExponentialAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.long_double.FAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.long_double.GammaAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.long_double.GumbelAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.long_double.LaplaceAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.long_double.LevyAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.long_double.LogisticAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.long_double.LogNormalAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.long_double.NakagamiAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.long_double.NormalAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.long_double.ParetoAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.long_double.TAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.long_double.TriangularAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.long_double.UniformAutoDocsInfo
getPackageName() - Method in class io.virtdata.continuous.long_double.WeibullAutoDocsInfo
getPackageName() - Method in class io.virtdata.discrete.int_int.BinomialAutoDocsInfo
getPackageName() - Method in class io.virtdata.discrete.int_int.GeometricAutoDocsInfo
getPackageName() - Method in class io.virtdata.discrete.int_int.HypergeometricAutoDocsInfo
getPackageName() - Method in class io.virtdata.discrete.int_int.PascalAutoDocsInfo
getPackageName() - Method in class io.virtdata.discrete.int_int.PoissonAutoDocsInfo
getPackageName() - Method in class io.virtdata.discrete.int_int.UniformAutoDocsInfo
getPackageName() - Method in class io.virtdata.discrete.int_int.ZipfAutoDocsInfo
getPackageName() - Method in class io.virtdata.discrete.int_long.BinomialAutoDocsInfo
getPackageName() - Method in class io.virtdata.discrete.int_long.GeometricAutoDocsInfo
getPackageName() - Method in class io.virtdata.discrete.int_long.HypergeometricAutoDocsInfo
getPackageName() - Method in class io.virtdata.discrete.int_long.PascalAutoDocsInfo
getPackageName() - Method in class io.virtdata.discrete.int_long.PoissonAutoDocsInfo
getPackageName() - Method in class io.virtdata.discrete.int_long.UniformAutoDocsInfo
getPackageName() - Method in class io.virtdata.discrete.int_long.ZipfAutoDocsInfo
getPackageName() - Method in class io.virtdata.discrete.long_int.BinomialAutoDocsInfo
getPackageName() - Method in class io.virtdata.discrete.long_int.GeometricAutoDocsInfo
getPackageName() - Method in class io.virtdata.discrete.long_int.HypergeometricAutoDocsInfo
getPackageName() - Method in class io.virtdata.discrete.long_int.PascalAutoDocsInfo
getPackageName() - Method in class io.virtdata.discrete.long_int.PoissonAutoDocsInfo
getPackageName() - Method in class io.virtdata.discrete.long_int.UniformAutoDocsInfo
getPackageName() - Method in class io.virtdata.discrete.long_int.ZipfAutoDocsInfo
getPackageName() - Method in class io.virtdata.discrete.long_long.BinomialAutoDocsInfo
getPackageName() - Method in class io.virtdata.discrete.long_long.GeometricAutoDocsInfo
getPackageName() - Method in class io.virtdata.discrete.long_long.HypergeometricAutoDocsInfo
getPackageName() - Method in class io.virtdata.discrete.long_long.PascalAutoDocsInfo
getPackageName() - Method in class io.virtdata.discrete.long_long.PoissonAutoDocsInfo
getPackageName() - Method in class io.virtdata.discrete.long_long.UniformAutoDocsInfo
getPackageName() - Method in class io.virtdata.discrete.long_long.ZipfAutoDocsInfo
getParameterEstimate(int) - Method in class org.apache.commons.math4.stat.regression.RegressionResults: Returns the parameter estimate for the regressor at the given index.
getParameterEstimates() - Method in class org.apache.commons.math4.stat.regression.RegressionResults: Returns a copy of the regression parameters estimates.
getPartialCorrelations(int) - Method in class org.apache.commons.math4.stat.regression.MillerUpdatingRegression: In the original algorithm only the partial correlations of the regressors is returned to the user.
getPartialDerivative(int...) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Get a partial derivative.
getPartialDerivativeIndex(int...) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Get the index of a partial derivative in the array.
getPartialDerivativeOrders(int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Get the derivation orders for a specific index in the array.
getPct(T) - Method in class org.apache.commons.math4.stat.Frequency: Returns the percentage of values that are equal to v (as a proportion between 0 and 1).
getPercentile(double) - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Returns an estimate for the pth percentile of the stored values.
getPercentileImpl() - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Returns the currently configured percentile implementation.
getPercentileValue() - Method in interface org.apache.commons.math4.stat.descriptive.rank.PSquarePercentile.PSquareMarkers: Returns Percentile value computed thus far.
getPivot() - Method in class org.apache.commons.math4.linear.FieldLUDecomposition: Returns the pivot permutation vector.
getPivot() - Method in class org.apache.commons.math4.linear.LUDecomposition: Returns the pivot permutation vector.
getPivotingStrategy() - Method in class org.apache.commons.math4.stat.descriptive.rank.Percentile: Get the PivotingStrategyInterface used in KthSelector for computation.
getPivotingStrategy() - Method in class org.apache.commons.math4.util.KthSelector: Get the pivotin strategy.
getPmf() - Method in class org.apache.commons.math4.distribution.EnumeratedDistribution: Return the probability mass function as a list of <value, probability> pairs.
getPoint(int) - Method in class org.apache.commons.math4.analysis.integration.gauss.GaussIntegrator: Gets the integration point at the given index.
getPolynomials() - Method in class org.apache.commons.math4.analysis.interpolation.HermiteInterpolator: Compute the interpolation polynomials.
getPolynomials() - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialSplineFunction: Get a copy of the interpolating polynomials array.
getPopulationSize() - Method in class org.apache.commons.statistics.distribution.HypergeometricDistribution: Access the population size.
getPopulationVariance() - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Returns the population variance of the available values.
getPopulationVariance() - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Returns the population variance of the values that have been added.
getPopulationVariance() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: Returns the population variance of the values that have been added.
getPrefix() - Method in class org.apache.commons.math4.linear.RealMatrixFormat: Get the format prefix.
getPrefix() - Method in class org.apache.commons.math4.linear.RealVectorFormat: Get the format prefix.
getPrevious() - Method in exception org.apache.commons.math4.exception.NonMonotonicSequenceException
getProbabilityOfSuccess() - Method in class org.apache.commons.statistics.distribution.BinomialDistribution: Access the probability of success for this distribution.
getProbabilityOfSuccess() - Method in class org.apache.commons.statistics.distribution.GeometricDistribution: Access the probability of success for this distribution.
getProbabilityOfSuccess() - Method in class org.apache.commons.statistics.distribution.PascalDistribution: Access the probability of success for this distribution.
getProperInstance() - Static method in class org.apache.commons.numbers.fraction.BigFractionFormat: Returns the default complex format for the current locale.
getProperInstance() - Static method in class org.apache.commons.numbers.fraction.FractionFormat: Returns the default complex format for the current locale.
getProperInstance(Locale) - Static method in class org.apache.commons.numbers.fraction.BigFractionFormat: Returns the default complex format for the given locale.
getProperInstance(Locale) - Static method in class org.apache.commons.numbers.fraction.FractionFormat: Returns the default complex format for the given locale.
getQ() - Method in class org.apache.commons.math4.linear.QRDecomposition: Returns the matrix Q of the decomposition.
getQT() - Method in class org.apache.commons.math4.linear.QRDecomposition: Returns the transpose of the matrix Q of the decomposition.
getQuadraticMean() - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Returns the quadratic mean, a.k.a.
getQuadraticMean() - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Returns the quadratic mean, a.k.a.
getQuadraticMean() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedDescriptiveStatistics: Returns the quadratic mean, a.k.a.
getQuadraticMean() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: Returns the quadratic mean, a.k.a.
getQuantile() - Method in class org.apache.commons.math4.stat.descriptive.rank.Percentile: Returns the value of the quantile field (determines what percentile is computed when evaluate() is called with no quantile argument).
getR() - Method in class org.apache.commons.math4.linear.QRDecomposition: Returns the matrix R of the decomposition.
getR() - Method in class org.apache.commons.math4.stat.regression.SimpleRegression: Returns Pearson's product moment correlation coefficient, usually denoted r.
getRank() - Method in class org.apache.commons.math4.linear.RectangularCholeskyDecomposition: Get the rank of the symmetric positive semidefinite matrix.
getRank() - Method in class org.apache.commons.math4.linear.SingularValueDecomposition: Return the effective numerical matrix rank.
getRank() - Method in class org.apache.commons.math4.random.CorrelatedRandomVectorGenerator: Get the rank of the covariance matrix.
getRank(double) - Method in class org.apache.commons.math4.linear.RRQRDecomposition: Return the effective numerical matrix rank.
getRankCorrelation() - Method in class org.apache.commons.math4.stat.correlation.SpearmansCorrelation: Returns a PearsonsCorrelation instance constructed from the ranked input data.
getReal() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Get the real value of the number.
getReal() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Get the real value of the number.
getReal() - Method in interface org.apache.commons.math4.RealFieldElement: Get the real value of the number.
getReal() - Method in class org.apache.commons.math4.util.Decimal64: Get the real value of the number.
getReal() - Method in class org.apache.commons.numbers.complex.Complex: Access the real part.
getRealEigenvalue(int) - Method in class org.apache.commons.math4.linear.EigenDecomposition: Returns the real part of the i^th eigenvalue of the original matrix.
getRealEigenvalues() - Method in class org.apache.commons.math4.linear.EigenDecomposition: Gets a copy of the real parts of the eigenvalues of the original matrix.
getReducedFraction(int, int) - Static method in class org.apache.commons.math4.fraction.BigFraction: Creates a BigFraction instance with the 2 parts of a fraction Y/Z.
getReducedFraction(int, int) - Static method in class org.apache.commons.math4.fraction.Fraction: Creates a Fraction instance with the 2 parts of a fraction Y/Z.
getReducedFraction(int, int) - Static method in class org.apache.commons.numbers.fraction.BigFraction: Creates a BigFraction instance with the 2 parts of a fraction Y/Z.
getReducedFraction(int, int) - Static method in class org.apache.commons.numbers.fraction.Fraction: Creates a Fraction instance with the 2 parts of a fraction Y/Z.
getRegressionSumSquares() - Method in class org.apache.commons.math4.stat.regression.RegressionResults: Returns the sum of squared deviations of the predicted y values about their mean (which equals the mean of y).
getRegressionSumSquares() - Method in class org.apache.commons.math4.stat.regression.SimpleRegression: Returns the sum of squared deviations of the predicted y values about their mean (which equals the mean of y).
getRelativeAccuracy() - Method in class org.apache.commons.math4.analysis.integration.BaseAbstractUnivariateIntegrator: Get the relative accuracy.
getRelativeAccuracy() - Method in interface org.apache.commons.math4.analysis.integration.UnivariateIntegrator: Get the relative accuracy.
getRelativeAccuracy() - Method in class org.apache.commons.math4.analysis.solvers.BaseAbstractUnivariateSolver: Get the relative accuracy of the solver.
getRelativeAccuracy() - Method in interface org.apache.commons.math4.analysis.solvers.BaseUnivariateSolver: Get the relative accuracy of the solver.
getRelativeAccuracy() - Method in interface org.apache.commons.math4.analysis.solvers.BracketedRealFieldUnivariateSolver: Get the relative accuracy of the solver.
getRelativeAccuracy() - Method in class org.apache.commons.math4.analysis.solvers.FieldBracketingNthOrderBrentSolver: Get the relative accuracy.
getResidual() - Method in class org.apache.commons.math4.linear.DefaultIterativeLinearSolverEvent: Returns the residual.
getResidual() - Method in class org.apache.commons.math4.linear.IterativeLinearSolverEvent: Returns the residual.
getResult() - Method in class org.apache.commons.math4.stat.descriptive.AbstractStorelessUnivariateStatistic: Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math4.stat.descriptive.moment.GeometricMean: Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math4.stat.descriptive.moment.Kurtosis: Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math4.stat.descriptive.moment.Mean: Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math4.stat.descriptive.moment.SecondMoment: Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math4.stat.descriptive.moment.Skewness: Returns the value of the statistic based on the values that have been added.
getResult() - Method in class org.apache.commons.math4.stat.descriptive.moment.StandardDeviation: Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math4.stat.descriptive.moment.Variance: Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math4.stat.descriptive.moment.VectorialCovariance: Get the covariance matrix.
getResult() - Method in class org.apache.commons.math4.stat.descriptive.moment.VectorialMean: Get the mean vector.
getResult() - Method in class org.apache.commons.math4.stat.descriptive.rank.Max: Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math4.stat.descriptive.rank.Min: Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math4.stat.descriptive.rank.PSquarePercentile: Returns the current value of the Statistic.
getResult() - Method in interface org.apache.commons.math4.stat.descriptive.StorelessUnivariateStatistic: Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math4.stat.descriptive.summary.Product: Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math4.stat.descriptive.summary.Sum: Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math4.stat.descriptive.summary.SumOfLogs: Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math4.stat.descriptive.summary.SumOfSquares: Returns the current value of the Statistic.
getRightHandSideVector() - Method in class org.apache.commons.math4.linear.DefaultIterativeLinearSolverEvent: Returns the current right-hand side of the linear system to be solved.
getRightHandSideVector() - Method in class org.apache.commons.math4.linear.IterativeLinearSolverEvent: Returns the current right-hand side of the linear system to be solved.
getRng() - Method in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal
getRootMatrix() - Method in class org.apache.commons.math4.linear.RectangularCholeskyDecomposition: Get the root of the covariance matrix.
getRootMatrix() - Method in class org.apache.commons.math4.random.CorrelatedRandomVectorGenerator: Get the root of the covariance matrix.
getRoundingMode() - Method in class org.apache.commons.math4.util.BigReal: Gets the rounding mode for division operations The default is RoundingMode.HALF_UP
getRow() - Method in exception org.apache.commons.math4.linear.NonPositiveDefiniteMatrixException
getRow() - Method in exception org.apache.commons.math4.linear.NonSymmetricMatrixException
getRow(int) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Get the entries in row number row as an array.
getRow(int) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Get the entries at the given row index.
getRow(int) - Method in class org.apache.commons.math4.linear.Array2DRowRealMatrix: Get the entries at the given row index.
getRow(int) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Get the entries in row number row as an array.
getRow(int) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Get the entries at the given row index.
getRow(int) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Get the entries in row number row as an array.
getRow(int) - Method in interface org.apache.commons.math4.linear.RealMatrix: Get the entries at the given row index.
getRowDimension() - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Returns the number of rows of this matrix.
getRowDimension() - Method in interface org.apache.commons.math4.linear.AnyMatrix: Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math4.linear.Array2DRowFieldMatrix: Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math4.linear.Array2DRowRealMatrix: Returns the number of rows of this matrix.
getRowDimension() - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Returns the number of rows of this matrix.
getRowDimension() - Method in class org.apache.commons.math4.linear.DiagonalMatrix: Returns the number of rows of this matrix.
getRowDimension() - Method in class org.apache.commons.math4.linear.JacobiPreconditioner: Returns the dimension of the codomain of this operator.
getRowDimension() - Method in class org.apache.commons.math4.linear.OpenMapRealMatrix: Returns the number of rows of this matrix.
getRowDimension() - Method in class org.apache.commons.math4.linear.RealLinearOperator: Returns the dimension of the codomain of this operator.
getRowDimension() - Method in class org.apache.commons.math4.linear.SparseFieldMatrix: Returns the number of rows in the matrix.
getRowMatrix(int) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Get the entries in row number row as a row matrix.
getRowMatrix(int) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Get the entries at the given row index as a row matrix.
getRowMatrix(int) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Get the entries in row number row as a row matrix.
getRowMatrix(int) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Get the entries at the given row index as a row matrix.
getRowMatrix(int) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Get the entries in row number row as a row matrix.
getRowMatrix(int) - Method in interface org.apache.commons.math4.linear.RealMatrix: Get the entries at the given row index as a row matrix.
getRowPrefix() - Method in class org.apache.commons.math4.linear.RealMatrixFormat: Get the format prefix.
getRowSeparator() - Method in class org.apache.commons.math4.linear.RealMatrixFormat: Get the format separator between rows of the matrix.
getRowSuffix() - Method in class org.apache.commons.math4.linear.RealMatrixFormat: Get the format suffix.
getRowVector(int) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Get the entries in row number row as a vector.
getRowVector(int) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Returns the entries in row number row as a vector.
getRowVector(int) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Get the entries in row number row as a vector.
getRowVector(int) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Returns the entries in row number row as a vector.
getRowVector(int) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Get the entries in row number row as a vector.
getRowVector(int) - Method in interface org.apache.commons.math4.linear.RealMatrix: Returns the entries in row number row as a vector.
getRSquare() - Method in class org.apache.commons.math4.stat.regression.SimpleRegression: Returns the coefficient of determination, usually denoted r-square.
getRSquared() - Method in class org.apache.commons.math4.stat.regression.RegressionResults: Returns the coefficient of multiple determination, usually denoted r-square.
getRule(int) - Method in class org.apache.commons.math4.analysis.integration.gauss.BaseRuleFactory: Gets a copy of the quadrature rule with the given number of integration points.
getRuleInternal(int) - Method in class org.apache.commons.math4.analysis.integration.gauss.BaseRuleFactory: Gets a rule.
getRuntimeClass() - Method in interface org.apache.commons.math4.Field: Returns the runtime class of the FieldElement.
getRuntimeClass() - Method in class org.apache.commons.math4.fraction.BigFractionField: Returns the runtime class of the FieldElement.
getRuntimeClass() - Method in class org.apache.commons.math4.fraction.FractionField: Returns the runtime class of the FieldElement.
getRuntimeClass() - Method in class org.apache.commons.math4.util.BigRealField: Returns the runtime class of the FieldElement.
getRuntimeClass() - Method in class org.apache.commons.math4.util.Decimal64Field: Returns the runtime class of the FieldElement.
getS() - Method in class org.apache.commons.math4.linear.SingularValueDecomposition: Returns the diagonal matrix Σ of the decomposition.
getSampleSize() - Method in class org.apache.commons.statistics.distribution.HypergeometricDistribution: Access the sample size.
getSampleStats() - Method in class org.apache.commons.math4.distribution.EmpiricalDistribution: Returns a StatisticalSummary describing this distribution.
getScale() - Method in class org.apache.commons.math4.util.BigReal: Sets the scale for division operations.
getScale() - Method in class org.apache.commons.statistics.distribution.CauchyDistribution: Access the scale parameter.
getScale() - Method in class org.apache.commons.statistics.distribution.GammaDistribution: Returns the scale parameter of this distribution.
getScale() - Method in class org.apache.commons.statistics.distribution.GumbelDistribution: Gets the scale parameter.
getScale() - Method in class org.apache.commons.statistics.distribution.LaplaceDistribution: Access the scale parameter, beta.
getScale() - Method in class org.apache.commons.statistics.distribution.LevyDistribution: Gets the scale parameter of the distribution.
getScale() - Method in class org.apache.commons.statistics.distribution.LogisticDistribution: Gets the scale parameter.
getScale() - Method in class org.apache.commons.statistics.distribution.LogNormalDistribution: Returns the scale parameter of this distribution.
getScale() - Method in class org.apache.commons.statistics.distribution.NakagamiDistribution: Access the scale parameter, omega.
getScale() - Method in class org.apache.commons.statistics.distribution.ParetoDistribution: Returns the scale parameter of this distribution.
getScale() - Method in class org.apache.commons.statistics.distribution.WeibullDistribution: Access the scale parameter, beta.
getSecond() - Method in class org.apache.commons.math4.util.Pair: Get the second element of the pair.
getSecondMoment() - Method in class org.apache.commons.math4.stat.descriptive.AggregateSummaryStatistics: Returns a statistic related to the Second Central Moment.
getSecondMoment() - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Returns a statistic related to the Second Central Moment.
getSeparator() - Method in class org.apache.commons.math4.linear.RealVectorFormat: Get the format separator between components.
getShape() - Method in class org.apache.commons.statistics.distribution.GammaDistribution: Returns the shape parameter of this distribution.
getShape() - Method in class org.apache.commons.statistics.distribution.LogNormalDistribution: Returns the shape parameter of this distribution.
getShape() - Method in class org.apache.commons.statistics.distribution.NakagamiDistribution: Access the shape parameter, mu.
getShape() - Method in class org.apache.commons.statistics.distribution.ParetoDistribution: Returns the shape parameter of this distribution.
getShape() - Method in class org.apache.commons.statistics.distribution.WeibullDistribution: Access the shape parameter, alpha.
getSignificance() - Method in class org.apache.commons.math4.stat.regression.SimpleRegression: Returns the significance level of the slope (equiv) correlation.
getSingularValues() - Method in class org.apache.commons.math4.linear.SingularValueDecomposition: Returns the diagonal elements of the matrix Σ of the decomposition.
getSize() - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Get the array size required for holding partial derivatives data.
getSize() - Method in class org.apache.commons.math4.analysis.interpolation.InterpolatingMicrosphere: Get the size of the sphere.
getSize() - Method in class org.apache.commons.math4.util.MultidimensionalCounter: Get the total number of elements.
getSizes() - Method in class org.apache.commons.math4.util.MultidimensionalCounter: Get the number of multidimensional counter slots in each dimension.
getSkewness() - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Returns the skewness of the available values.
getSkewnessImpl() - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Returns the currently configured skewness implementation.
getSlope() - Method in class org.apache.commons.math4.stat.regression.SimpleRegression: Returns the slope of the estimated regression line.
getSlopeConfidenceInterval() - Method in class org.apache.commons.math4.stat.regression.SimpleRegression: Returns the half-width of a 95% confidence interval for the slope estimate.
getSlopeConfidenceInterval(double) - Method in class org.apache.commons.math4.stat.regression.SimpleRegression: Returns the half-width of a (100-100*alpha)% confidence interval for the slope estimate.
getSlopeStdErr() - Method in class org.apache.commons.math4.stat.regression.SimpleRegression: Returns the standard error of the slope estimate, usually denoted s(b1).
getSolution() - Method in class org.apache.commons.math4.linear.DefaultIterativeLinearSolverEvent: Returns the current estimate of the solution to the linear system to be solved.
getSolution() - Method in class org.apache.commons.math4.linear.IterativeLinearSolverEvent: Returns the current estimate of the solution to the linear system to be solved.
getSolver() - Method in class org.apache.commons.math4.linear.CholeskyDecomposition: Get a solver for finding the A × X = B solution in least square sense.
getSolver() - Method in class org.apache.commons.math4.linear.EigenDecomposition: Gets a solver for finding the A × X = B solution in exact linear sense.
getSolver() - Method in class org.apache.commons.math4.linear.FieldLUDecomposition: Get a solver for finding the A × X = B solution in exact linear sense.
getSolver() - Method in class org.apache.commons.math4.linear.LUDecomposition: Get a solver for finding the A × X = B solution in exact linear sense.
getSolver() - Method in class org.apache.commons.math4.linear.QRDecomposition: Get a solver for finding the A × X = B solution in least square sense.
getSolver() - Method in class org.apache.commons.math4.linear.RRQRDecomposition: Get a solver for finding the A × X = B solution in least square sense.
getSolver() - Method in class org.apache.commons.math4.linear.SingularValueDecomposition: Get a solver for finding the A × X = B solution in least square sense.
getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math4.distribution.AbstractRealDistribution: Returns the solver absolute accuracy for inverse cumulative computation.
getSortedValues() - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Returns the current set of values in an array of double primitives, sorted in ascending order.
getSourceString() - Method in class org.apache.commons.math4.exception.util.DummyLocalizable: Gets the source (non-localized) string.
getSourceString() - Method in interface org.apache.commons.math4.exception.util.Localizable: Gets the source (non-localized) string.
getSourceString() - Method in enum org.apache.commons.math4.exception.util.LocalizedFormats: Gets the source (non-localized) string.
getSparsity() - Method in class org.apache.commons.math4.linear.OpenMapRealVector
getSquareRoot() - Method in class org.apache.commons.math4.linear.EigenDecomposition: Computes the square-root of the matrix.
getStandardDeviation() - Method in class org.apache.commons.math4.stat.descriptive.AggregateSummaryStatistics: Returns the standard deviation of the available values.
getStandardDeviation() - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Returns the standard deviation of the available values.
getStandardDeviation() - Method in class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics: Returns an array whose i^th entry is the standard deviation of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getStandardDeviation() - Method in interface org.apache.commons.math4.stat.descriptive.StatisticalMultivariateSummary: Returns an array whose i^th entry is the standard deviation of the i^th entries of the arrays that correspond to each multivariate sample
getStandardDeviation() - Method in interface org.apache.commons.math4.stat.descriptive.StatisticalSummary: Returns the standard deviation of the available values.
getStandardDeviation() - Method in class org.apache.commons.math4.stat.descriptive.StatisticalSummaryValues
getStandardDeviation() - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Returns the standard deviation of the values that have been added.
getStandardDeviation() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedDescriptiveStatistics: Returns the standard deviation of the available values.
getStandardDeviation() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics: Returns an array whose i^th entry is the standard deviation of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getStandardDeviation() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: Returns the standard deviation of the values that have been added.
getStandardDeviation() - Method in class org.apache.commons.statistics.distribution.NormalDistribution: Access the standard deviation.
getStandardDeviations() - Method in class org.apache.commons.math4.distribution.MultivariateNormalDistribution: Gets the square root of each element on the diagonal of the covariance matrix.
getStartIndex() - Method in class org.apache.commons.math4.util.ResizableDoubleArray: Returns the "start index" of the internal array.
getStartValue() - Method in class org.apache.commons.math4.analysis.solvers.BaseAbstractUnivariateSolver
getState() - Method in class org.apache.commons.rng.core.RandomProviderDefaultState
getStateInternal() - Method in class org.apache.commons.rng.core.BaseProvider: Creates a snapshot of the RNG state.
getStateInternal() - Method in class org.apache.commons.rng.core.source32.AbstractWell: Creates a snapshot of the RNG state.
getStateInternal() - Method in class org.apache.commons.rng.core.source32.IntProvider: Creates a snapshot of the RNG state.
getStateInternal() - Method in class org.apache.commons.rng.core.source32.ISAACRandom: Creates a snapshot of the RNG state.
getStateInternal() - Method in class org.apache.commons.rng.core.source32.JDKRandom: Creates a snapshot of the RNG state.
getStateInternal() - Method in class org.apache.commons.rng.core.source32.KISSRandom: Creates a snapshot of the RNG state.
getStateInternal() - Method in class org.apache.commons.rng.core.source32.MersenneTwister: Creates a snapshot of the RNG state.
getStateInternal() - Method in class org.apache.commons.rng.core.source32.MultiplyWithCarry256: Creates a snapshot of the RNG state.
getStateInternal() - Method in class org.apache.commons.rng.core.source64.LongProvider: Creates a snapshot of the RNG state.
getStateInternal() - Method in class org.apache.commons.rng.core.source64.MersenneTwister64: Creates a snapshot of the RNG state.
getStateInternal() - Method in class org.apache.commons.rng.core.source64.SplitMix64: Creates a snapshot of the RNG state.
getStateInternal() - Method in class org.apache.commons.rng.core.source64.TwoCmres: Creates a snapshot of the RNG state.
getStateInternal() - Method in class org.apache.commons.rng.core.source64.XorShift1024Star: Creates a snapshot of the RNG state.
getStdErrorOfEstimate(int) - Method in class org.apache.commons.math4.stat.regression.RegressionResults: Returns the standard error of the parameter estimate at index, usually denoted s(b_index).
getStdErrorOfEstimates() - Method in class org.apache.commons.math4.stat.regression.RegressionResults: Returns the standard error of the parameter estimates, usually denoted s(b_i).
getStepSize() - Method in class org.apache.commons.math4.analysis.differentiation.FiniteDifferencesDifferentiator: Get the step size.
getStrict() - Method in exception org.apache.commons.math4.exception.NonMonotonicSequenceException
getSubMatrix(int[], int[]) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Get a submatrix.
getSubMatrix(int[], int[]) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Gets a submatrix.
getSubMatrix(int[], int[]) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Get a submatrix.
getSubMatrix(int[], int[]) - Method in interface org.apache.commons.math4.linear.RealMatrix: Gets a submatrix.
getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Get a submatrix.
getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Gets a submatrix.
getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math4.linear.Array2DRowRealMatrix: Gets a submatrix.
getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Get a submatrix.
getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Gets a submatrix.
getSubMatrix(int, int, int, int) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Get a submatrix.
getSubMatrix(int, int, int, int) - Method in interface org.apache.commons.math4.linear.RealMatrix: Gets a submatrix.
getSubVector(int, int) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Get a subvector from consecutive elements.
getSubVector(int, int) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Get a subvector from consecutive elements.
getSubVector(int, int) - Method in interface org.apache.commons.math4.linear.FieldVector: Get a subvector from consecutive elements.
getSubVector(int, int) - Method in class org.apache.commons.math4.linear.OpenMapRealVector: Get a subvector from consecutive elements.
getSubVector(int, int) - Method in class org.apache.commons.math4.linear.RealVector: Get a subvector from consecutive elements.
getSubVector(int, int) - Method in class org.apache.commons.math4.linear.SparseFieldVector: Get a subvector from consecutive elements.
getSuffix() - Method in class org.apache.commons.math4.linear.RealMatrixFormat: Get the format suffix.
getSuffix() - Method in class org.apache.commons.math4.linear.RealVectorFormat: Get the format suffix.
getSum() - Method in class org.apache.commons.math4.stat.descriptive.AggregateSummaryStatistics: Returns the sum of the values that have been added to Univariate.
getSum() - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Returns the sum of the values that have been added to Univariate.
getSum() - Method in class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics: Returns an array whose i^th entry is the sum of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getSum() - Method in interface org.apache.commons.math4.stat.descriptive.StatisticalMultivariateSummary: Returns an array whose i^th entry is the sum of the i^th entries of the arrays that correspond to each multivariate sample
getSum() - Method in interface org.apache.commons.math4.stat.descriptive.StatisticalSummary: Returns the sum of the values that have been added to Univariate.
getSum() - Method in class org.apache.commons.math4.stat.descriptive.StatisticalSummaryValues
getSum() - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Returns the sum of the values that have been added
getSum() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics: Returns an array whose i^th entry is the sum of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getSum() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: Returns the sum of the values that have been added
getSumFreq() - Method in class org.apache.commons.math4.stat.Frequency: Returns the sum of all frequencies.
getSumImpl() - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Returns the currently configured sum implementation.
getSumImpl() - Method in class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics: Returns the currently configured Sum implementation
getSumImpl() - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Returns the currently configured Sum implementation
getSumImpl() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics: Returns the currently configured Sum implementation
getSumImpl() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: Returns the currently configured Sum implementation
getSumLog() - Method in class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics: Returns an array whose i^th entry is the sum of logs of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getSumLog() - Method in interface org.apache.commons.math4.stat.descriptive.StatisticalMultivariateSummary: Returns an array whose i^th entry is the sum of logs of the i^th entries of the arrays that correspond to each multivariate sample
getSumLog() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics: Returns an array whose i^th entry is the sum of logs of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getSumLogImpl() - Method in class org.apache.commons.math4.stat.descriptive.moment.GeometricMean: Returns the currently configured sum of logs implementation.
getSumLogImpl() - Method in class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics: Returns the currently configured sum of logs implementation
getSumLogImpl() - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Returns the currently configured sum of logs implementation
getSumLogImpl() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics: Returns the currently configured sum of logs implementation
getSumLogImpl() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: Returns the currently configured sum of logs implementation
getSummary() - Method in class org.apache.commons.math4.stat.descriptive.AggregateSummaryStatistics: Return a StatisticalSummaryValues instance reporting current aggregate statistics.
getSummary() - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Return a StatisticalSummaryValues instance reporting current statistics.
getSummary() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: Return a StatisticalSummaryValues instance reporting current statistics.
getSumOfCrossProducts() - Method in class org.apache.commons.math4.stat.regression.SimpleRegression: Returns the sum of crossproducts, x_i*y_i.
getSumOfLogs() - Method in class org.apache.commons.math4.stat.descriptive.AggregateSummaryStatistics: Returns the sum of the logs of all the aggregated data.
getSumOfLogs() - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Returns the sum of the logs of the values that have been added.
getSumsq() - Method in class org.apache.commons.math4.stat.descriptive.AggregateSummaryStatistics: Returns the sum of the squares of all the aggregated data.
getSumsq() - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Returns the sum of the squares of the available values.
getSumsq() - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Returns the sum of the squares of the values that have been added.
getSumsq() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: Returns the sum of the squares of the values that have been added.
getSumSq() - Method in class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics: Returns an array whose i^th entry is the sum of squares of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getSumSq() - Method in interface org.apache.commons.math4.stat.descriptive.StatisticalMultivariateSummary: Returns an array whose i^th entry is the sum of squares of the i^th entries of the arrays that correspond to each multivariate sample
getSumSq() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics: Returns an array whose i^th entry is the sum of squares of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getSumsqImpl() - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Returns the currently configured sum of squares implementation.
getSumsqImpl() - Method in class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics: Returns the currently configured sum of squares implementation
getSumsqImpl() - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Returns the currently configured sum of squares implementation
getSumsqImpl() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics: Returns the currently configured sum of squares implementation
getSumsqImpl() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: Returns the currently configured sum of squares implementation
getSumSquaredErrors() - Method in class org.apache.commons.math4.stat.regression.SimpleRegression: Returns the sum of squared errors (SSE) associated with the regression model.
getSupportLowerBound() - Method in class org.apache.commons.math4.distribution.EmpiricalDistribution: Gets the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math4.distribution.EnumeratedIntegerDistribution: Gets the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.math4.distribution.EnumeratedRealDistribution: Gets the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.BetaDistribution: Gets the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.BinomialDistribution: Gets the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.CauchyDistribution: Gets the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.ChiSquaredDistribution: Gets the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.ConstantContinuousDistribution: Gets the lower bound of the support.
getSupportLowerBound() - Method in interface org.apache.commons.statistics.distribution.ContinuousDistribution: Gets the lower bound of the support.
getSupportLowerBound() - Method in interface org.apache.commons.statistics.distribution.DiscreteDistribution: Gets the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.ExponentialDistribution: Gets the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.FDistribution: Gets the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.GammaDistribution: Gets the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.GeometricDistribution: Gets the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.GumbelDistribution: Gets the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.HypergeometricDistribution: Gets the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.LaplaceDistribution: Gets the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.LevyDistribution: Gets the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.LogisticDistribution: Gets the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.LogNormalDistribution: Gets the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.NakagamiDistribution: Gets the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.NormalDistribution: Gets the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.ParetoDistribution: Gets the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.PascalDistribution: Gets the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.PoissonDistribution: Gets the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.TDistribution: Gets the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.TriangularDistribution: Gets the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.UniformContinuousDistribution: Gets the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.UniformDiscreteDistribution: Gets the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.WeibullDistribution: Gets the lower bound of the support.
getSupportLowerBound() - Method in class org.apache.commons.statistics.distribution.ZipfDistribution: Gets the lower bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math4.distribution.EmpiricalDistribution: Gets the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math4.distribution.EnumeratedIntegerDistribution: Gets the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.math4.distribution.EnumeratedRealDistribution: Gets the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.BetaDistribution: Gets the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.BinomialDistribution: Gets the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.CauchyDistribution: Gets the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.ChiSquaredDistribution: Gets the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.ConstantContinuousDistribution: Gets the upper bound of the support.
getSupportUpperBound() - Method in interface org.apache.commons.statistics.distribution.ContinuousDistribution: Gets the upper bound of the support.
getSupportUpperBound() - Method in interface org.apache.commons.statistics.distribution.DiscreteDistribution: Gets the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.ExponentialDistribution: Gets the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.FDistribution: Gets the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.GammaDistribution: Gets the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.GeometricDistribution: Gets the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.GumbelDistribution: Gets the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.HypergeometricDistribution: Gets the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.LaplaceDistribution: Gets the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.LevyDistribution: Gets the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.LogisticDistribution: Gets the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.LogNormalDistribution: Gets the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.NakagamiDistribution: Gets the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.NormalDistribution: Gets the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.ParetoDistribution: Gets the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.PascalDistribution: Gets the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.PoissonDistribution: Gets the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.TDistribution: Gets the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.TriangularDistribution: Gets the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.UniformContinuousDistribution: Gets the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.UniformDiscreteDistribution: Gets the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.WeibullDistribution: Gets the upper bound of the support.
getSupportUpperBound() - Method in class org.apache.commons.statistics.distribution.ZipfDistribution: Gets the upper bound of the support.
getThreshold() - Method in exception org.apache.commons.math4.linear.NonPositiveDefiniteMatrixException
getThreshold() - Method in exception org.apache.commons.math4.linear.NonSymmetricMatrixException
getThrowable() - Method in class org.apache.commons.math4.exception.util.ExceptionContext: Get a reference to the exception to which the context relates.
getTiesStrategy() - Method in class org.apache.commons.math4.stat.ranking.NaturalRanking: Return the TiesStrategy
getTotalSumSquares() - Method in class org.apache.commons.math4.stat.regression.RegressionResults: Returns the sum of squared deviations of the y values about their mean.
getTotalSumSquares() - Method in class org.apache.commons.math4.stat.regression.SimpleRegression: Returns the sum of squared deviations of the y values about their mean.
getTrace() - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Returns the trace of the matrix (the sum of the elements on the main diagonal).
getTrace() - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Returns the trace of the matrix (the sum of the elements on the main diagonal).
getTrace() - Method in interface org.apache.commons.math4.linear.FieldMatrix: Returns the trace of the matrix (the sum of the elements on the main diagonal).
getTrace() - Method in interface org.apache.commons.math4.linear.RealMatrix: Returns the trace of the matrix (the sum of the elements on the main diagonal).
getTransformer(Class<?>) - Method in class org.apache.commons.math4.util.TransformerMap: Returns the Transformer that is mapped to a class if mapping is not present, this returns null.
getU() - Method in class org.apache.commons.math4.linear.FieldLUDecomposition: Returns the matrix U of the decomposition.
getU() - Method in class org.apache.commons.math4.linear.LUDecomposition: Returns the matrix U of the decomposition.
getU() - Method in class org.apache.commons.math4.linear.SingularValueDecomposition: Returns the matrix U of the decomposition.
getUniqueCount() - Method in class org.apache.commons.math4.stat.Frequency: Returns the number of values in the frequency table.
getUpperBound() - Method in class org.apache.commons.math4.stat.interval.ConfidenceInterval
getUpperBounds() - Method in class org.apache.commons.math4.distribution.EmpiricalDistribution: Returns a fresh copy of the array of upper bounds for the bins.
getUT() - Method in class org.apache.commons.math4.linear.SingularValueDecomposition: Returns the transpose of the matrix U of the decomposition.
getV() - Method in class org.apache.commons.math4.linear.EigenDecomposition: Gets the matrix V of the decomposition.
getV() - Method in class org.apache.commons.math4.linear.SingularValueDecomposition: Returns the matrix V of the decomposition.
getValue() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Get the value part of the derivative structure.
getValue() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Get the value of the function.
getValue() - Method in class org.apache.commons.math4.linear.OpenMapRealVector.OpenMapEntry: Get the value of the entry.
getValue() - Method in class org.apache.commons.math4.linear.RealVector.Entry: Get the value of the entry.
getValue() - Method in class org.apache.commons.math4.util.Pair: Get the value.
getValue(String) - Method in class org.apache.commons.math4.exception.util.ExceptionContext: Gets the value associated to the given context key.
getValues() - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Returns the current set of values in an array of double primitives.
getValues() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedDescriptiveStatistics: Returns the current set of values in an array of double primitives.
getVariance() - Method in class org.apache.commons.math4.distribution.EmpiricalDistribution: Gets the variance of this distribution.
getVariance() - Method in class org.apache.commons.math4.distribution.EnumeratedIntegerDistribution: Gets the variance of this distribution.
getVariance() - Method in class org.apache.commons.math4.distribution.EnumeratedRealDistribution: Gets the variance of this distribution.
getVariance() - Method in class org.apache.commons.math4.stat.descriptive.AggregateSummaryStatistics: Returns the variance of the available values.
getVariance() - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Returns the (sample) variance of the available values.
getVariance() - Method in interface org.apache.commons.math4.stat.descriptive.StatisticalSummary: Returns the variance of the available values.
getVariance() - Method in class org.apache.commons.math4.stat.descriptive.StatisticalSummaryValues
getVariance() - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Returns the (sample) variance of the available values.
getVariance() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: Returns the (sample) variance of the available values.
getVariance() - Method in class org.apache.commons.statistics.distribution.BetaDistribution: Gets the variance of this distribution.
getVariance() - Method in class org.apache.commons.statistics.distribution.BinomialDistribution: Gets the variance of this distribution.
getVariance() - Method in class org.apache.commons.statistics.distribution.CauchyDistribution: Gets the variance of this distribution.
getVariance() - Method in class org.apache.commons.statistics.distribution.ChiSquaredDistribution: Gets the variance of this distribution.
getVariance() - Method in class org.apache.commons.statistics.distribution.ConstantContinuousDistribution: Gets the variance of this distribution.
getVariance() - Method in interface org.apache.commons.statistics.distribution.ContinuousDistribution: Gets the variance of this distribution.
getVariance() - Method in interface org.apache.commons.statistics.distribution.DiscreteDistribution: Gets the variance of this distribution.
getVariance() - Method in class org.apache.commons.statistics.distribution.ExponentialDistribution: Gets the variance of this distribution.
getVariance() - Method in class org.apache.commons.statistics.distribution.FDistribution: Gets the variance of this distribution.
getVariance() - Method in class org.apache.commons.statistics.distribution.GammaDistribution: Gets the variance of this distribution.
getVariance() - Method in class org.apache.commons.statistics.distribution.GeometricDistribution: Gets the variance of this distribution.
getVariance() - Method in class org.apache.commons.statistics.distribution.GumbelDistribution: Gets the variance of this distribution.
getVariance() - Method in class org.apache.commons.statistics.distribution.HypergeometricDistribution: Gets the variance of this distribution.
getVariance() - Method in class org.apache.commons.statistics.distribution.LaplaceDistribution: Gets the variance of this distribution.
getVariance() - Method in class org.apache.commons.statistics.distribution.LevyDistribution: Gets the variance of this distribution.
getVariance() - Method in class org.apache.commons.statistics.distribution.LogisticDistribution: Gets the variance of this distribution.
getVariance() - Method in class org.apache.commons.statistics.distribution.LogNormalDistribution: Gets the variance of this distribution.
getVariance() - Method in class org.apache.commons.statistics.distribution.NakagamiDistribution: Gets the variance of this distribution.
getVariance() - Method in class org.apache.commons.statistics.distribution.NormalDistribution: Gets the variance of this distribution.
getVariance() - Method in class org.apache.commons.statistics.distribution.ParetoDistribution: Gets the variance of this distribution.
getVariance() - Method in class org.apache.commons.statistics.distribution.PascalDistribution: Gets the variance of this distribution.
getVariance() - Method in class org.apache.commons.statistics.distribution.PoissonDistribution: Gets the variance of this distribution.
getVariance() - Method in class org.apache.commons.statistics.distribution.TDistribution: Gets the variance of this distribution.
getVariance() - Method in class org.apache.commons.statistics.distribution.TriangularDistribution: Gets the variance of this distribution.
getVariance() - Method in class org.apache.commons.statistics.distribution.UniformContinuousDistribution: Gets the variance of this distribution.
getVariance() - Method in class org.apache.commons.statistics.distribution.UniformDiscreteDistribution: Gets the variance of this distribution.
getVariance() - Method in class org.apache.commons.statistics.distribution.WeibullDistribution: Gets the variance of this distribution.
getVariance() - Method in class org.apache.commons.statistics.distribution.ZipfDistribution: Gets the variance of this distribution.
getVarianceDirection() - Method in class org.apache.commons.math4.stat.descriptive.moment.SemiVariance: Returns the varianceDirection property.
getVarianceImpl() - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Returns the currently configured variance implementation.
getVarianceImpl() - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Returns the currently configured variance implementation
getVarianceImpl() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: Returns the currently configured variance implementation
getVT() - Method in class org.apache.commons.math4.linear.EigenDecomposition: Gets the transpose of the matrix V of the decomposition.
getVT() - Method in class org.apache.commons.math4.linear.SingularValueDecomposition: Returns the transpose of the matrix V of the decomposition.
getWeight(int) - Method in class org.apache.commons.math4.analysis.integration.gauss.GaussIntegrator: Gets the weight of the integration point at the given index.
getWholeFormat() - Method in class org.apache.commons.numbers.fraction.ProperBigFractionFormat: Access the whole format.
getWholeFormat() - Method in class org.apache.commons.numbers.fraction.ProperFractionFormat: Access the whole format.
getWilsonScoreInterval(int, int, double) - Static method in class org.apache.commons.math4.stat.interval.IntervalUtils: Create a Wilson score binomial confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
getWindowSize() - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Returns the maximum number of values that can be stored in the dataset, or INFINITE_WINDOW (-1) if there is no limit.
getWindowSize() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedDescriptiveStatistics: Returns the maximum number of values that can be stored in the dataset, or INFINITE_WINDOW (-1) if there is no limit.
getWorkArray(double[], int, int) - Method in class org.apache.commons.math4.stat.descriptive.rank.Percentile: Get the work array to operate.
getWrongColumnDimension() - Method in exception org.apache.commons.math4.linear.MatrixDimensionMismatchException
getWrongDimension(int) - Method in exception org.apache.commons.math4.exception.MultiDimensionMismatchException
getWrongDimensions() - Method in exception org.apache.commons.math4.exception.MultiDimensionMismatchException
getWrongRowDimension() - Method in exception org.apache.commons.math4.linear.MatrixDimensionMismatchException
getX() - Method in class org.apache.commons.math4.stat.regression.AbstractMultipleLinearRegression
getXSumSquares() - Method in class org.apache.commons.math4.stat.regression.SimpleRegression: Returns the sum of squared deviations of the x values about their mean.
getY() - Method in class org.apache.commons.math4.stat.regression.AbstractMultipleLinearRegression
getZero() - Method in interface org.apache.commons.math4.Field: Get the additive identity of the field.
getZero() - Method in class org.apache.commons.math4.fraction.BigFractionField: Get the additive identity of the field.
getZero() - Method in class org.apache.commons.math4.fraction.FractionField: Get the additive identity of the field.
getZero() - Method in class org.apache.commons.math4.util.BigRealField: Get the additive identity of the field.
getZero() - Method in class org.apache.commons.math4.util.Decimal64Field: Get the additive identity of the field.
GLSMultipleLinearRegression - Class in org.apache.commons.math4.stat.regression: The GLS implementation of multiple linear regression.
GLSMultipleLinearRegression() - Constructor for class org.apache.commons.math4.stat.regression.GLSMultipleLinearRegression
gradient(double, double...) - Method in class org.apache.commons.math4.analysis.function.Gaussian.Parametric: Computes the value of the gradient at x.
gradient(double, double...) - Method in class org.apache.commons.math4.analysis.function.HarmonicOscillator.Parametric: Computes the value of the gradient at x.
gradient(double, double...) - Method in class org.apache.commons.math4.analysis.function.Logistic.Parametric: Computes the value of the gradient at x.
gradient(double, double...) - Method in class org.apache.commons.math4.analysis.function.Logit.Parametric: Computes the value of the gradient at x.
gradient(double, double...) - Method in class org.apache.commons.math4.analysis.function.Sigmoid.Parametric: Computes the value of the gradient at x.
gradient(double, double...) - Method in interface org.apache.commons.math4.analysis.ParametricUnivariateFunction: Compute the gradient of the function with respect to its parameters.
gradient(double, double...) - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunction.Parametric: Compute the gradient of the function with respect to its parameters.
GradientFunction - Class in org.apache.commons.math4.analysis.differentiation: Class representing the gradient of a multivariate function.
GradientFunction(MultivariateDifferentiableFunction) - Constructor for class org.apache.commons.math4.analysis.differentiation.GradientFunction: Simple constructor.
GREATER_THAN - org.apache.commons.math4.stat.inference.AlternativeHypothesis: Represents a right-sided test.
gTest(double[], long[]) - Method in class org.apache.commons.math4.stat.inference.GTest: Returns the observed significance level, or p-value, associated with a G-Test for goodness of fit comparing the observed frequency counts to those in the expected array.
gTest(double[], long[]) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
gTest(double[], long[], double) - Method in class org.apache.commons.math4.stat.inference.GTest: Performs a G-Test (Log-Likelihood Ratio Test) for goodness of fit evaluating the null hypothesis that the observed counts conform to the frequency distribution described by the expected counts, with significance level alpha.
gTest(double[], long[], double) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
GTest - Class in org.apache.commons.math4.stat.inference: Implements G Test statistics.
GTest() - Constructor for class org.apache.commons.math4.stat.inference.GTest
gTestDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math4.stat.inference.GTest: Returns the observed significance level, or p-value, associated with a G-Value (Log-Likelihood Ratio) for two sample test comparing bin frequency counts in observed1 and observed2.
gTestDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
gTestDataSetsComparison(long[], long[], double) - Method in class org.apache.commons.math4.stat.inference.GTest: Performs a G-Test (Log-Likelihood Ratio Test) comparing two binned data sets.
gTestDataSetsComparison(long[], long[], double) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
gTestIntrinsic(double[], long[]) - Method in class org.apache.commons.math4.stat.inference.GTest: Returns the intrinsic (Hardy-Weinberg proportions) p-Value, as described in p64-69 of McDonald, J.H.
gTestIntrinsic(double[], long[]) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
Gumbel - Class in io.virtdata.continuous.int_double
Gumbel - Class in io.virtdata.continuous.long_double
Gumbel(double, double, String...) - Constructor for class io.virtdata.continuous.int_double.Gumbel
Gumbel(double, double, String...) - Constructor for class io.virtdata.continuous.long_double.Gumbel
GumbelAutoDocsInfo - Class in io.virtdata.continuous.int_double
GumbelAutoDocsInfo - Class in io.virtdata.continuous.long_double
GumbelAutoDocsInfo() - Constructor for class io.virtdata.continuous.int_double.GumbelAutoDocsInfo
GumbelAutoDocsInfo() - Constructor for class io.virtdata.continuous.long_double.GumbelAutoDocsInfo
GumbelDistribution - Class in org.apache.commons.statistics.distribution: This class implements the Gumbel distribution.
GumbelDistribution(double, double) - Constructor for class org.apache.commons.statistics.distribution.GumbelDistribution: Creates a distribution.

H

HaltonSequenceGenerator - Class in org.apache.commons.math4.random: Implementation of a Halton sequence.
HaltonSequenceGenerator(int) - Constructor for class org.apache.commons.math4.random.HaltonSequenceGenerator: Construct a new Halton sequence generator for the given space dimension.
HaltonSequenceGenerator(int, int[], int[]) - Constructor for class org.apache.commons.math4.random.HaltonSequenceGenerator: Construct a new Halton sequence generator with the given base numbers and weights for each dimension.
HarmonicOscillator - Class in org.apache.commons.math4.analysis.function: simple harmonic oscillator function.
HarmonicOscillator(double, double, double) - Constructor for class org.apache.commons.math4.analysis.function.HarmonicOscillator: Harmonic oscillator function.
HarmonicOscillator.Parametric - Class in org.apache.commons.math4.analysis.function: Parametric function where the input array contains the parameters of the harmonic oscillator function, ordered as follows: Amplitude Angular frequency Phase
hasComplexEigenvalues() - Method in class org.apache.commons.math4.linear.EigenDecomposition: Returns whether the calculated eigen values are complex or real.
hash(double) - Static method in class org.apache.commons.math4.util.MathUtils: Returns an integer hash code representing the given double value.
hash(double[]) - Static method in class org.apache.commons.math4.util.MathUtils: Returns an integer hash code representing the given double array.
HASH - Static variable in class io.virtdata.continuous.int_double.IntToDoubleContinuousCurve
HASH - Static variable in class io.virtdata.continuous.long_double.LongToDoubleContinuousCurve
HASH - Static variable in class io.virtdata.discrete.int_int.IntToIntDiscreteCurve
HASH - Static variable in class io.virtdata.discrete.int_long.IntToLongDiscreteCurve
HASH - Static variable in class io.virtdata.discrete.long_int.LongToIntDiscreteCurve
HASH - Static variable in class io.virtdata.discrete.long_long.LongToLongDiscreteCurve
hashCode() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Get a hashCode for the derivative structure.
hashCode() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Get a hashCode for the derivative structure.
hashCode() - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunction
hashCode() - Method in class org.apache.commons.math4.fraction.BigFraction: Gets a hashCode for the fraction.
hashCode() - Method in class org.apache.commons.math4.fraction.Fraction: Gets a hashCode for the fraction.
hashCode() - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Computes a hashcode for the matrix.
hashCode() - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Computes a hashcode for the matrix.
hashCode() - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Get a hashCode for the real vector.
hashCode() - Method in class org.apache.commons.math4.linear.ArrayRealVector: .
hashCode() - Method in class org.apache.commons.math4.linear.OpenMapRealVector: .
hashCode() - Method in class org.apache.commons.math4.linear.RealVector: .
hashCode() - Method in class org.apache.commons.math4.linear.SparseFieldVector
hashCode() - Method in class org.apache.commons.math4.stat.descriptive.AbstractStorelessUnivariateStatistic: Returns hash code based on getResult() and getN().
hashCode() - Method in class org.apache.commons.math4.stat.descriptive.moment.VectorialCovariance
hashCode() - Method in class org.apache.commons.math4.stat.descriptive.moment.VectorialMean
hashCode() - Method in class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics: Returns hash code based on values of statistics
hashCode() - Method in class org.apache.commons.math4.stat.descriptive.rank.PSquarePercentile: Returns hash code based on getResult() and getN().
hashCode() - Method in class org.apache.commons.math4.stat.descriptive.StatisticalSummaryValues: Returns hash code based on values of statistics
hashCode() - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Returns hash code based on values of statistics
hashCode() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics: Returns hash code based on values of statistics
hashCode() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: Returns hash code based on values of statistics
hashCode() - Method in class org.apache.commons.math4.stat.Frequency
hashCode() - Method in class org.apache.commons.math4.util.BigReal
hashCode() - Method in class org.apache.commons.math4.util.Decimal64: The current implementation returns the same value as new Double(this.doubleValue()).hashCode()
hashCode() - Method in class org.apache.commons.math4.util.DefaultTransformer
hashCode() - Method in class org.apache.commons.math4.util.Pair: Compute a hash code.
hashCode() - Method in class org.apache.commons.math4.util.ResizableDoubleArray: Returns a hash code consistent with equals.
hashCode() - Method in class org.apache.commons.math4.util.TransformerMap
hashCode() - Method in class org.apache.commons.numbers.complex.Complex: Get a hash code for the complex number.
hashCode() - Method in class org.apache.commons.numbers.fraction.BigFraction: Gets a hashCode for the fraction.
hashCode() - Method in class org.apache.commons.numbers.fraction.Fraction: Gets a hashCode for the fraction.
hasIntercept() - Method in class org.apache.commons.math4.stat.regression.MillerUpdatingRegression: A getter method which determines whether a constant is included.
hasIntercept() - Method in class org.apache.commons.math4.stat.regression.RegressionResults: Returns true if the regression model has been computed including an intercept.
hasIntercept() - Method in class org.apache.commons.math4.stat.regression.SimpleRegression: Returns true if the model includes an intercept term.
hasIntercept() - Method in interface org.apache.commons.math4.stat.regression.UpdatingMultipleLinearRegression: Returns true if a constant has been included false otherwise.
hasNext() - Method in class org.apache.commons.math4.linear.OpenMapRealVector.OpenMapSparseIterator
hasNext() - Method in class org.apache.commons.math4.linear.RealVector.SparseEntryIterator
hasNext() - Method in class org.apache.commons.math4.util.IntegerSequence.Incrementor
hasNext() - Method in class org.apache.commons.math4.util.MultidimensionalCounter.Iterator
hasNext() - Method in class org.apache.commons.math4.util.OpenIntToDoubleHashMap.Iterator: Check if there is a next element in the map.
hasNext() - Method in class org.apache.commons.math4.util.OpenIntToFieldHashMap.Iterator: Check if there is a next element in the map.
height(int) - Method in interface org.apache.commons.math4.stat.descriptive.rank.PSquarePercentile.PSquareMarkers: Returns the marker height (or percentile) of a given marker index.
hermite(int) - Method in class org.apache.commons.math4.analysis.integration.gauss.GaussIntegratorFactory: Creates a Gauss-Hermite integrator of the given order.
HermiteInterpolator - Class in org.apache.commons.math4.analysis.interpolation: Polynomial interpolator using both sample values and sample derivatives.
HermiteInterpolator() - Constructor for class org.apache.commons.math4.analysis.interpolation.HermiteInterpolator: Create an empty interpolator.
HermiteRuleFactory - Class in org.apache.commons.math4.analysis.integration.gauss: Factory that creates a Gauss-type quadrature rule using Hermite polynomials of the first kind.
HermiteRuleFactory() - Constructor for class org.apache.commons.math4.analysis.integration.gauss.HermiteRuleFactory
HOLE_BETWEEN_MODELS_TIME_RANGES - org.apache.commons.math4.exception.util.LocalizedFormats
homoscedasticT(double[], double[]) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
homoscedasticT(double[], double[]) - Method in class org.apache.commons.math4.stat.inference.TTest: Computes a 2-sample t statistic, under the hypothesis of equal subpopulation variances.
homoscedasticT(double, double, double, double, double, double) - Method in class org.apache.commons.math4.stat.inference.TTest: Computes t test statistic for 2-sample t-test under the hypothesis of equal subpopulation variances.
homoscedasticT(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
homoscedasticT(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math4.stat.inference.TTest: Computes a 2-sample t statistic, comparing the means of the datasets described by two StatisticalSummary instances, under the assumption of equal subpopulation variances.
homoscedasticTTest(double[], double[]) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
homoscedasticTTest(double[], double[]) - Method in class org.apache.commons.math4.stat.inference.TTest: Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the input arrays, under the assumption that the two samples are drawn from subpopulations with equal variances.
homoscedasticTTest(double[], double[], double) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
homoscedasticTTest(double[], double[], double) - Method in class org.apache.commons.math4.stat.inference.TTest: Performs a two-sided t-test evaluating the null hypothesis that sample1 and sample2 are drawn from populations with the same mean, with significance level alpha, assuming that the subpopulation variances are equal.
homoscedasticTTest(double, double, double, double, double, double) - Method in class org.apache.commons.math4.stat.inference.TTest: Computes p-value for 2-sided, 2-sample t-test, under the assumption of equal subpopulation variances.
homoscedasticTTest(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
homoscedasticTTest(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math4.stat.inference.TTest: Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the datasets described by two StatisticalSummary instances, under the hypothesis of equal subpopulation variances.
Hypergeometric - Class in io.virtdata.discrete.int_int
Hypergeometric - Class in io.virtdata.discrete.int_long
Hypergeometric - Class in io.virtdata.discrete.long_int
Hypergeometric - Class in io.virtdata.discrete.long_long
Hypergeometric(int, int, int, String...) - Constructor for class io.virtdata.discrete.int_int.Hypergeometric
Hypergeometric(int, int, int, String...) - Constructor for class io.virtdata.discrete.int_long.Hypergeometric
Hypergeometric(int, int, int, String...) - Constructor for class io.virtdata.discrete.long_int.Hypergeometric
Hypergeometric(int, int, int, String...) - Constructor for class io.virtdata.discrete.long_long.Hypergeometric
HypergeometricAutoDocsInfo - Class in io.virtdata.discrete.int_int
HypergeometricAutoDocsInfo - Class in io.virtdata.discrete.int_long
HypergeometricAutoDocsInfo - Class in io.virtdata.discrete.long_int
HypergeometricAutoDocsInfo - Class in io.virtdata.discrete.long_long
HypergeometricAutoDocsInfo() - Constructor for class io.virtdata.discrete.int_int.HypergeometricAutoDocsInfo
HypergeometricAutoDocsInfo() - Constructor for class io.virtdata.discrete.int_long.HypergeometricAutoDocsInfo
HypergeometricAutoDocsInfo() - Constructor for class io.virtdata.discrete.long_int.HypergeometricAutoDocsInfo
HypergeometricAutoDocsInfo() - Constructor for class io.virtdata.discrete.long_long.HypergeometricAutoDocsInfo
HypergeometricDistribution - Class in org.apache.commons.statistics.distribution: Implementation of the hypergeometric distribution.
HypergeometricDistribution(int, int, int) - Constructor for class org.apache.commons.statistics.distribution.HypergeometricDistribution: Creates a new hypergeometric distribution.
hypot(double, double) - Static method in class org.apache.commons.math4.util.FastMath: Returns the hypotenuse of a triangle with sides x and y - sqrt(x² +y²)
avoiding intermediate overflow or underflow.
hypot(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Returns the hypotenuse of a triangle with sides this and y - sqrt(this² +y²) avoiding intermediate overflow or underflow.
hypot(DerivativeStructure, DerivativeStructure) - Static method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Returns the hypotenuse of a triangle with sides x and y - sqrt(x² +y²) avoiding intermediate overflow or underflow.
hypot(SparseGradient) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Returns the hypotenuse of a triangle with sides this and y - sqrt(this² +y²) avoiding intermediate overflow or underflow.
hypot(SparseGradient, SparseGradient) - Static method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Returns the hypotenuse of a triangle with sides x and y - sqrt(x² +y²) avoiding intermediate overflow or underflow.
hypot(Decimal64) - Method in class org.apache.commons.math4.util.Decimal64: Returns the hypotenuse of a triangle with sides this and y - sqrt(this² +y²) avoiding intermediate overflow or underflow.
hypot(T) - Method in interface org.apache.commons.math4.RealFieldElement: Returns the hypotenuse of a triangle with sides this and y - sqrt(this² +y²) avoiding intermediate overflow or underflow.

I

I - Static variable in class org.apache.commons.numbers.complex.Complex: The square root of -1, a.k.a.
Identity - Class in org.apache.commons.math4.analysis.function: Identity function.
Identity() - Constructor for class org.apache.commons.math4.analysis.function.Identity
IEEEremainder(double, double) - Static method in class org.apache.commons.math4.util.FastMath: Computes the remainder as prescribed by the IEEE 754 standard.
ILL_CONDITIONED_OPERATOR - org.apache.commons.math4.exception.util.LocalizedFormats
IllConditionedOperatorException - Exception in org.apache.commons.math4.linear: An exception to be thrown when the condition number of a RealLinearOperator is too high.
IllConditionedOperatorException(double) - Constructor for exception org.apache.commons.math4.linear.IllConditionedOperatorException: Creates a new instance of this class.
ILLEGAL_STATE - org.apache.commons.math4.exception.util.LocalizedFormats
ILLINOIS - org.apache.commons.math4.analysis.solvers.BaseSecantSolver.Method: The Illinois method.
IllinoisSolver - Class in org.apache.commons.math4.analysis.solvers: Implements the Illinois method for root-finding (approximating a zero of a univariate real function).
IllinoisSolver() - Constructor for class org.apache.commons.math4.analysis.solvers.IllinoisSolver: Construct a solver with default accuracy (1e-6).
IllinoisSolver(double) - Constructor for class org.apache.commons.math4.analysis.solvers.IllinoisSolver: Construct a solver.
IllinoisSolver(double, double) - Constructor for class org.apache.commons.math4.analysis.solvers.IllinoisSolver: Construct a solver.
IllinoisSolver(double, double, double) - Constructor for class org.apache.commons.math4.analysis.solvers.IllinoisSolver: Construct a solver.
imag() - Method in class org.apache.commons.numbers.complex.Complex: Access the imaginary part (C++ grammar)
IMAGINARY_FORMAT - org.apache.commons.math4.exception.util.LocalizedFormats
imaginary2Complex(double[]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a double[] array to an imaginary Complex[] array.
imaginary2Complex(double[][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a 2D imaginary array double[][] to a 2D Complex[][] array.
imaginary2Complex(double[][][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a 3D imaginary array double[][][] to a Complex[] array.
imaginary2Complex(double[][][][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a 4D imaginary array double[][][][] to a 4D Complex[][][][] array.
imaginary2Complex(float[]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a float[] array to an imaginary Complex[] array.
incMoment - Variable in class org.apache.commons.math4.stat.descriptive.moment.Kurtosis: Determines whether or not this statistic can be incremented or cleared.
incMoment - Variable in class org.apache.commons.math4.stat.descriptive.moment.Mean: Determines whether or not this statistic can be incremented or cleared.
incMoment - Variable in class org.apache.commons.math4.stat.descriptive.moment.Skewness: Determines whether or not this statistic can be incremented or cleared.
incMoment - Variable in class org.apache.commons.math4.stat.descriptive.moment.Variance: Whether or not Variance.increment(double) should increment the internal second moment.
INCONSISTENT_STATE_AT_2_PI_WRAPPING - org.apache.commons.math4.exception.util.LocalizedFormats
INCREASING - org.apache.commons.math4.util.MathArrays.OrderDirection: Constant for increasing direction.
increment() - Method in class org.apache.commons.math4.util.IntegerSequence.Incrementor: Adds the increment value to the current iteration count.
increment(double) - Method in class org.apache.commons.math4.stat.descriptive.AbstractStorelessUnivariateStatistic: Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math4.stat.descriptive.moment.GeometricMean: Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math4.stat.descriptive.moment.Kurtosis: Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math4.stat.descriptive.moment.Mean: Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math4.stat.descriptive.moment.SecondMoment: Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math4.stat.descriptive.moment.Skewness: Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math4.stat.descriptive.moment.StandardDeviation: Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math4.stat.descriptive.moment.Variance: Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math4.stat.descriptive.rank.Max: Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math4.stat.descriptive.rank.Min: Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math4.stat.descriptive.rank.PSquarePercentile: Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in interface org.apache.commons.math4.stat.descriptive.StorelessUnivariateStatistic: Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math4.stat.descriptive.summary.Product: Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math4.stat.descriptive.summary.Sum: Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math4.stat.descriptive.summary.SumOfLogs: Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math4.stat.descriptive.summary.SumOfSquares: Updates the internal state of the statistic to reflect the addition of the new value.
increment(double[]) - Method in class org.apache.commons.math4.stat.correlation.StorelessCovariance: Increment the covariance matrix with one row of data.
increment(double[]) - Method in class org.apache.commons.math4.stat.descriptive.moment.VectorialCovariance: Add a new vector to the sample.
increment(double[]) - Method in class org.apache.commons.math4.stat.descriptive.moment.VectorialMean: Add a new vector to the sample.
increment(int) - Method in class org.apache.commons.math4.util.IntegerSequence.Incrementor: Performs multiple increments.
incrementAll(double[]) - Method in class org.apache.commons.math4.stat.descriptive.AbstractStorelessUnivariateStatistic: This default implementation just calls AbstractStorelessUnivariateStatistic.increment(double) in a loop over the input array.
incrementAll(double[]) - Method in interface org.apache.commons.math4.stat.descriptive.StorelessUnivariateStatistic: Updates the internal state of the statistic to reflect addition of all values in the values array.
incrementAll(double[], int, int) - Method in class org.apache.commons.math4.stat.descriptive.AbstractStorelessUnivariateStatistic: This default implementation just calls AbstractStorelessUnivariateStatistic.increment(double) in a loop over the specified portion of the input array.
incrementAll(double[], int, int) - Method in interface org.apache.commons.math4.stat.descriptive.StorelessUnivariateStatistic: Updates the internal state of the statistic to reflect addition of the values in the designated portion of the values array.
incrementCount() - Method in class org.apache.commons.math4.util.Incrementor: Deprecated.

Adds one to the current iteration count.
incrementCount(int) - Method in class org.apache.commons.math4.util.Incrementor: Deprecated.

Performs multiple increments.
incrementEvaluationCount() - Method in class org.apache.commons.math4.analysis.solvers.BaseAbstractUnivariateSolver: Increment the evaluation count by one.
incrementExact(int) - Static method in class org.apache.commons.math4.util.FastMath: Increment a number, detecting overflows.
incrementExact(long) - Static method in class org.apache.commons.math4.util.FastMath: Increment a number, detecting overflows.
incrementIterationCount() - Method in class org.apache.commons.math4.util.IterationManager: Increments the iteration count by one, and throws an exception if the maximum number of iterations is reached.
Incrementor - Class in org.apache.commons.math4.util: Deprecated.
Use IntegerSequence.Incrementor instead.
Incrementor() - Constructor for class org.apache.commons.math4.util.Incrementor: Deprecated.

Default constructor.
Incrementor(int) - Constructor for class org.apache.commons.math4.util.Incrementor: Deprecated.

Defines a maximal count.
Incrementor(int, Incrementor.MaxCountExceededCallback) - Constructor for class org.apache.commons.math4.util.Incrementor: Deprecated.

Defines a maximal count and a callback method to be triggered at counter exhaustion.
Incrementor.MaxCountExceededCallback - Interface in org.apache.commons.math4.util: Deprecated.

Defines a method to be called at counter exhaustion.
incrementValue(T, long) - Method in class org.apache.commons.math4.stat.Frequency: Increments the frequency count for v.
index - Variable in class org.apache.commons.rng.core.source32.AbstractWell: Current index in the bytes pool.
index(double, int) - Method in enum org.apache.commons.math4.stat.descriptive.rank.Percentile.EstimationType: Finds the index of array that can be used as starting index to estimate percentile.
INDEX - org.apache.commons.math4.exception.util.LocalizedFormats
INDEX_LARGER_THAN_MAX - org.apache.commons.math4.exception.util.LocalizedFormats
INDEX_NOT_POSITIVE - org.apache.commons.math4.exception.util.LocalizedFormats
INDEX_OUT_OF_RANGE - org.apache.commons.math4.exception.util.LocalizedFormats
IndexTable(int, int, int, int) - Constructor for class org.apache.commons.rng.core.source32.AbstractWell.IndexTable: Creates a new pre-calculated indirection index table.
INF - Static variable in class org.apache.commons.numbers.complex.Complex: A complex number representing "+INF + INF i"
InferenceTestUtils - Class in org.apache.commons.math4.stat.inference: A collection of static methods to create inference test instances or to perform inference tests.
INFINITE_ARRAY_ELEMENT - org.apache.commons.math4.exception.util.LocalizedFormats
INFINITE_BOUND - org.apache.commons.math4.exception.util.LocalizedFormats
INFINITE_VALUE_CONVERSION - org.apache.commons.math4.exception.util.LocalizedFormats
INFINITE_WINDOW - Static variable in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Represents an infinite window size.
INITIAL_CAPACITY_NOT_POSITIVE - org.apache.commons.math4.exception.util.LocalizedFormats
INITIAL_COLUMN_AFTER_FINAL_COLUMN - org.apache.commons.math4.exception.util.LocalizedFormats
INITIAL_ROW_AFTER_FINAL_ROW - org.apache.commons.math4.exception.util.LocalizedFormats
initializationPerformed(IterationEvent) - Method in interface org.apache.commons.math4.util.IterationListener: Invoked after completion of the initial phase of the iterative algorithm (prior to the main iteration loop).
initialize(Complex[]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Initializes a Complex[] array to zero, to avoid NullPointerExceptions.
initialize(Complex[][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Initializes a Complex[][] array to zero, to avoid NullPointerExceptions.
initialize(Complex[][][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Initializes a Complex[][][] array to zero, to avoid NullPointerExceptions.
innerDistribution - Variable in class org.apache.commons.math4.distribution.EnumeratedIntegerDistribution: EnumeratedDistribution instance (using the Integer wrapper) used to generate the pmf.
innerDistribution - Variable in class org.apache.commons.math4.distribution.EnumeratedRealDistribution: EnumeratedDistribution (using the Double wrapper) used to generate the pmf.
INPUT_ARRAY - org.apache.commons.math4.exception.util.LocalizedFormats
INSTANCES_NOT_COMPARABLE_TO_EXISTING_VALUES - org.apache.commons.math4.exception.util.LocalizedFormats
INSUFFICIENT_DATA - org.apache.commons.math4.exception.util.LocalizedFormats
INSUFFICIENT_DATA_FOR_T_STATISTIC - org.apache.commons.math4.exception.util.LocalizedFormats
INSUFFICIENT_DIMENSION - org.apache.commons.math4.exception.util.LocalizedFormats
INSUFFICIENT_OBSERVED_POINTS_IN_SAMPLE - org.apache.commons.math4.exception.util.LocalizedFormats
INSUFFICIENT_ROWS_AND_COLUMNS - org.apache.commons.math4.exception.util.LocalizedFormats
InsufficientDataException - Exception in org.apache.commons.math4.exception: Exception to be thrown when there is insufficient data to perform a computation.
InsufficientDataException() - Constructor for exception org.apache.commons.math4.exception.InsufficientDataException: Construct the exception.
InsufficientDataException(Localizable, Object...) - Constructor for exception org.apache.commons.math4.exception.InsufficientDataException: Construct the exception with a specific context.
Int2Long - Class in org.apache.commons.rng.simple.internal: Converts a Integer to an Long.
Int2Long() - Constructor for class org.apache.commons.rng.simple.internal.Int2Long
IntArray2Int - Class in org.apache.commons.rng.simple.internal: Creates a single value by "xor" of all the values in the input array.
IntArray2Int() - Constructor for class org.apache.commons.rng.simple.internal.IntArray2Int
IntArray2LongArray - Class in org.apache.commons.rng.simple.internal: Creates a long[] from an int[].
IntArray2LongArray() - Constructor for class org.apache.commons.rng.simple.internal.IntArray2LongArray
INTEGER_ZERO - Static variable in exception org.apache.commons.math4.exception.MathIllegalNumberException: Helper to avoid boxing warnings.
IntegerDistribution - Interface in org.apache.commons.math4.distribution: Interface for distributions on the integers.
IntegerDistributionICDSource - Class in io.virtdata.discrete.common
IntegerDistributionICDSource(DiscreteDistribution) - Constructor for class io.virtdata.discrete.common.IntegerDistributionICDSource
IntegerSequence - Class in org.apache.commons.math4.util: Provides a sequence of integers.
IntegerSequence.Incrementor - Class in org.apache.commons.math4.util: Utility that increments a counter until a maximum is reached, at which point, the instance will by default throw a MaxCountExceededException.
IntegerSequence.Incrementor.MaxCountExceededCallback - Interface in org.apache.commons.math4.util: Defines a method to be called at counter exhaustion.
IntegerSequence.Range - Class in org.apache.commons.math4.util: Generates a sequence of integers.
integrate(int, UnivariateFunction, double, double) - Method in class org.apache.commons.math4.analysis.integration.BaseAbstractUnivariateIntegrator: Integrate the function in the given interval.
integrate(int, UnivariateFunction, double, double) - Method in interface org.apache.commons.math4.analysis.integration.UnivariateIntegrator: Integrate the function in the given interval.
integrate(UnivariateFunction) - Method in class org.apache.commons.math4.analysis.integration.gauss.GaussIntegrator: Returns an estimate of the integral of f(x) * w(x), where w is a weight function that depends on the actual flavor of the Gauss integration scheme.
integrate(UnivariateFunction) - Method in class org.apache.commons.math4.analysis.integration.gauss.SymmetricGaussIntegrator: Returns an estimate of the integral of f(x) * w(x), where w is a weight function that depends on the actual flavor of the Gauss integration scheme.
INTEGRATION_METHOD_NEEDS_AT_LEAST_TWO_PREVIOUS_POINTS - org.apache.commons.math4.exception.util.LocalizedFormats
interleaved2Complex(double[]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a complex interleaved double[] array to a Complex[] array
interleaved2Complex(double[][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a 2D interleaved complex double[][] array to a Complex[][] array.
interleaved2Complex(double[][][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a 3D interleaved complex double[][][] array to a Complex[][][] array.
interleaved2Complex(double[][][][], int) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a 4D interleaved complex double[][][][] array to a Complex[][][][] array.
interleaved2Complex(double[][][], int) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a 3D interleaved complex double[][][] array to a Complex[][][] array.
interleaved2Complex(double[][], int) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a 2D interleaved complex double[][] array to a Complex[][] array.
interleaved2Complex(float[]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a complex interleaved float[] array to a Complex[] array
interleaved2Complex(float[][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a 2D interleaved complex float[][] array to a Complex[][] array.
interleaved2Complex(float[][][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a 3D interleaved complex float[][][] array to a Complex[] array.
interleaved2Complex(float[][][], int) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a 3D interleaved complex float[][][] array to a Complex[][][] array.
interleaved2Complex(float[][], int) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a 2D interleaved complex float[][] array to a Complex[][] array.
INTERNAL_ERROR - org.apache.commons.math4.exception.util.LocalizedFormats
interpolate(double[][], double[]) - Method in class org.apache.commons.math4.analysis.interpolation.MicrosphereProjectionInterpolator: Computes an interpolating function for the data set.
interpolate(double[][], double[]) - Method in interface org.apache.commons.math4.analysis.interpolation.MultivariateInterpolator: Computes an interpolating function for the data set.
interpolate(double[], double[]) - Method in class org.apache.commons.math4.analysis.interpolation.AkimaSplineInterpolator: Computes an interpolating function for the data set.
interpolate(double[], double[]) - Method in class org.apache.commons.math4.analysis.interpolation.DividedDifferenceInterpolator: Compute an interpolating function for the dataset.
interpolate(double[], double[]) - Method in class org.apache.commons.math4.analysis.interpolation.LinearInterpolator: Computes a linear interpolating function for the data set.
interpolate(double[], double[]) - Method in class org.apache.commons.math4.analysis.interpolation.LoessInterpolator: Compute an interpolating function by performing a loess fit on the data at the original abscissae and then building a cubic spline with a SplineInterpolator on the resulting fit.
interpolate(double[], double[]) - Method in class org.apache.commons.math4.analysis.interpolation.NevilleInterpolator: Computes an interpolating function for the data set.
interpolate(double[], double[]) - Method in class org.apache.commons.math4.analysis.interpolation.SplineInterpolator: Computes an interpolating function for the data set.
interpolate(double[], double[]) - Method in interface org.apache.commons.math4.analysis.interpolation.UnivariateInterpolator: Compute an interpolating function for the dataset.
interpolate(double[], double[]) - Method in class org.apache.commons.math4.analysis.interpolation.UnivariatePeriodicInterpolator: Compute an interpolating function for the dataset.
interpolate(double[], double[], double[][]) - Method in class org.apache.commons.math4.analysis.interpolation.BicubicInterpolator: Compute an interpolating function for the dataset.
interpolate(double[], double[], double[][]) - Method in interface org.apache.commons.math4.analysis.interpolation.BivariateGridInterpolator: Compute an interpolating function for the dataset.
interpolate(double[], double[], double[][]) - Method in class org.apache.commons.math4.analysis.interpolation.PiecewiseBicubicSplineInterpolator: Compute an interpolating function for the dataset.
interpolate(double[], double[], double[], double[][][]) - Method in class org.apache.commons.math4.analysis.interpolation.TricubicInterpolator: Compute an interpolating function for the dataset.
interpolate(double[], double[], double[], double[][][]) - Method in interface org.apache.commons.math4.analysis.interpolation.TrivariateGridInterpolator: Compute an interpolating function for the dataset.
INTERPOLATE - Static variable in class io.virtdata.continuous.int_double.IntToDoubleContinuousCurve
INTERPOLATE - Static variable in class io.virtdata.continuous.long_double.LongToDoubleContinuousCurve
INTERPOLATE - Static variable in class io.virtdata.discrete.int_int.IntToIntDiscreteCurve
INTERPOLATE - Static variable in class io.virtdata.discrete.int_long.IntToLongDiscreteCurve
INTERPOLATE - Static variable in class io.virtdata.discrete.long_int.LongToIntDiscreteCurve
INTERPOLATE - Static variable in class io.virtdata.discrete.long_long.LongToLongDiscreteCurve
InterpolatingIntDoubleSampler - Class in io.virtdata.continuous.common
InterpolatingIntDoubleSampler(DoubleUnaryOperator, int, boolean, boolean, double) - Constructor for class io.virtdata.continuous.common.InterpolatingIntDoubleSampler
InterpolatingIntIntSampler - Class in io.virtdata.discrete.common
InterpolatingIntIntSampler(DoubleToIntFunction, int, boolean) - Constructor for class io.virtdata.discrete.common.InterpolatingIntIntSampler
InterpolatingIntLongSampler - Class in io.virtdata.discrete.common
InterpolatingIntLongSampler(DoubleToIntFunction, int, boolean) - Constructor for class io.virtdata.discrete.common.InterpolatingIntLongSampler
InterpolatingLongDoubleSampler - Class in io.virtdata.continuous.common
InterpolatingLongDoubleSampler(DoubleUnaryOperator, int, boolean, boolean, double) - Constructor for class io.virtdata.continuous.common.InterpolatingLongDoubleSampler
InterpolatingLongIntSampler - Class in io.virtdata.discrete.common
InterpolatingLongIntSampler(DoubleToIntFunction, int, boolean) - Constructor for class io.virtdata.discrete.common.InterpolatingLongIntSampler
InterpolatingLongLongSampler - Class in io.virtdata.discrete.common
InterpolatingLongLongSampler(DoubleToIntFunction, int, boolean) - Constructor for class io.virtdata.discrete.common.InterpolatingLongLongSampler
InterpolatingMicrosphere - Class in org.apache.commons.math4.analysis.interpolation: Utility class for the MicrosphereProjectionInterpolator algorithm.
InterpolatingMicrosphere(int, int, double, double, double) - Constructor for class org.apache.commons.math4.analysis.interpolation.InterpolatingMicrosphere: Create an unitialiazed sphere.
InterpolatingMicrosphere(int, int, double, double, double, UnitSphereSampler) - Constructor for class org.apache.commons.math4.analysis.interpolation.InterpolatingMicrosphere: Create a sphere from randomly sampled vectors.
InterpolatingMicrosphere(InterpolatingMicrosphere) - Constructor for class org.apache.commons.math4.analysis.interpolation.InterpolatingMicrosphere: Copy constructor.
InterpolatingMicrosphere2D - Class in org.apache.commons.math4.analysis.interpolation: Utility class for the MicrosphereProjectionInterpolator algorithm.
InterpolatingMicrosphere2D(int, double, double, double) - Constructor for class org.apache.commons.math4.analysis.interpolation.InterpolatingMicrosphere2D: Create a sphere from vectors regularly sampled around a circle.
InterpolatingMicrosphere2D(InterpolatingMicrosphere2D) - Constructor for class org.apache.commons.math4.analysis.interpolation.InterpolatingMicrosphere2D: Copy constructor.
IntervalUtils - Class in org.apache.commons.math4.stat.interval: Factory methods to generate confidence intervals for a binomial proportion.
IntProvider - Class in org.apache.commons.rng.core.source32: Base class for all implementations that provide an int-based source randomness.
IntProvider() - Constructor for class org.apache.commons.rng.core.source32.IntProvider
IntToDoubleContinuousCurve - Class in io.virtdata.continuous.int_double
IntToDoubleContinuousCurve(ContinuousDistribution, String...) - Constructor for class io.virtdata.continuous.int_double.IntToDoubleContinuousCurve
IntToIntDiscreteCurve - Class in io.virtdata.discrete.int_int
IntToIntDiscreteCurve(DiscreteDistribution, String...) - Constructor for class io.virtdata.discrete.int_int.IntToIntDiscreteCurve
IntToLongDiscreteCurve - Class in io.virtdata.discrete.int_long
IntToLongDiscreteCurve(DiscreteDistribution, String...) - Constructor for class io.virtdata.discrete.int_long.IntToLongDiscreteCurve
intValue() - Method in class org.apache.commons.math4.fraction.BigFraction: Gets the fraction as an int.
intValue() - Method in class org.apache.commons.math4.fraction.Fraction: Gets the fraction as an int.
intValue() - Method in class org.apache.commons.math4.util.Decimal64: The current implementation performs casting to a int.
intValue() - Method in class org.apache.commons.numbers.fraction.BigFraction: Gets the fraction as an int.
intValue() - Method in class org.apache.commons.numbers.fraction.Fraction: Gets the fraction as an int.
INVALID_BINARY_CHROMOSOME - org.apache.commons.math4.exception.util.LocalizedFormats
INVALID_BINARY_DIGIT - org.apache.commons.math4.exception.util.LocalizedFormats
INVALID_BRACKETING_PARAMETERS - org.apache.commons.math4.exception.util.LocalizedFormats
INVALID_FIXED_LENGTH_CHROMOSOME - org.apache.commons.math4.exception.util.LocalizedFormats
INVALID_IMPLEMENTATION - org.apache.commons.math4.exception.util.LocalizedFormats
INVALID_INTERVAL_INITIAL_VALUE_PARAMETERS - org.apache.commons.math4.exception.util.LocalizedFormats
INVALID_ITERATIONS_LIMITS - org.apache.commons.math4.exception.util.LocalizedFormats
INVALID_MAX_ITERATIONS - org.apache.commons.math4.exception.util.LocalizedFormats
INVALID_REGRESSION_ARRAY - org.apache.commons.math4.exception.util.LocalizedFormats
INVALID_REGRESSION_OBSERVATION - org.apache.commons.math4.exception.util.LocalizedFormats
INVALID_ROUNDING_METHOD - org.apache.commons.math4.exception.util.LocalizedFormats
inverse() - Method in class org.apache.commons.math4.linear.DiagonalMatrix: Computes the inverse of this diagonal matrix.
inverse(double) - Method in class org.apache.commons.math4.linear.DiagonalMatrix: Computes the inverse of this diagonal matrix.
inverse(RealMatrix) - Static method in class org.apache.commons.math4.linear.MatrixUtils: Computes the inverse of the given matrix.
inverse(RealMatrix, double) - Static method in class org.apache.commons.math4.linear.MatrixUtils: Computes the inverse of the given matrix.
Inverse - Class in org.apache.commons.math4.analysis.function: Inverse function.
Inverse() - Constructor for class org.apache.commons.math4.analysis.function.Inverse
inverseCumulativeProbability(double) - Method in class org.apache.commons.math4.distribution.AbstractIntegerDistribution: Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math4.distribution.AbstractRealDistribution: Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math4.distribution.EmpiricalDistribution: Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math4.distribution.EnumeratedRealDistribution: Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in interface org.apache.commons.rng.sampling.distribution.ContinuousInverseCumulativeProbabilityFunction: Computes the quantile function of the distribution.
inverseCumulativeProbability(double) - Method in interface org.apache.commons.rng.sampling.distribution.DiscreteInverseCumulativeProbabilityFunction: Computes the quantile function of the distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.CauchyDistribution: Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.ConstantContinuousDistribution: Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in interface org.apache.commons.statistics.distribution.ContinuousDistribution: Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in interface org.apache.commons.statistics.distribution.DiscreteDistribution: Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.ExponentialDistribution: Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.GeometricDistribution: Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.GumbelDistribution: Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.LaplaceDistribution: Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.LevyDistribution: Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.LogisticDistribution: Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.NormalDistribution: Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.TriangularDistribution: Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.UniformContinuousDistribution: Computes the quantile function of this distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.statistics.distribution.WeibullDistribution: Computes the quantile function of this distribution.
InverseErf - Class in org.apache.commons.numbers.gamma: Inverse of the error function.
InverseErf() - Constructor for class org.apache.commons.numbers.gamma.InverseErf
InverseErfc - Class in org.apache.commons.numbers.gamma: Inverse of the complementary error function.
InverseErfc() - Constructor for class org.apache.commons.numbers.gamma.InverseErfc
InverseTransformContinuousSampler - Class in org.apache.commons.rng.sampling.distribution: Distribution sampler that uses the inversion method.
InverseTransformContinuousSampler(UniformRandomProvider, ContinuousInverseCumulativeProbabilityFunction) - Constructor for class org.apache.commons.rng.sampling.distribution.InverseTransformContinuousSampler
InverseTransformDiscreteSampler - Class in org.apache.commons.rng.sampling.distribution: Distribution sampler that uses the inversion method.
InverseTransformDiscreteSampler(UniformRandomProvider, DiscreteInverseCumulativeProbabilityFunction) - Constructor for class org.apache.commons.rng.sampling.distribution.InverseTransformDiscreteSampler
InverseTransformParetoSampler - Class in org.apache.commons.rng.sampling.distribution: Sampling from a Pareto distribution.
InverseTransformParetoSampler(UniformRandomProvider, double, double) - Constructor for class org.apache.commons.rng.sampling.distribution.InverseTransformParetoSampler
io.virtdata.continuous.common - package io.virtdata.continuous.common
io.virtdata.continuous.int_double - package io.virtdata.continuous.int_double
io.virtdata.continuous.long_double - package io.virtdata.continuous.long_double
io.virtdata.discrete.common - package io.virtdata.discrete.common
io.virtdata.discrete.int_int - package io.virtdata.discrete.int_int
io.virtdata.discrete.int_long - package io.virtdata.discrete.int_long
io.virtdata.discrete.long_int - package io.virtdata.discrete.long_int
io.virtdata.discrete.long_long - package io.virtdata.discrete.long_long
ISAAC - org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is ISAACRandom.
ISAAC - org.apache.commons.rng.simple.RandomSource: Source of randomness is ISAACRandom.
ISAACRandom - Class in org.apache.commons.rng.core.source32: A fast cryptographic pseudo-random number generator.
ISAACRandom(int[]) - Constructor for class org.apache.commons.rng.core.source32.ISAACRandom: Creates a new ISAAC random number generator.
isBiasCorrected() - Method in class org.apache.commons.math4.stat.descriptive.moment.SemiVariance: Returns true iff biasCorrected property is set to true.
isBiasCorrected() - Method in class org.apache.commons.math4.stat.descriptive.moment.StandardDeviation
isBiasCorrected() - Method in class org.apache.commons.math4.stat.descriptive.moment.Variance
isBracketing(double, double) - Method in class org.apache.commons.math4.analysis.solvers.BaseAbstractUnivariateSolver: Check whether the function takes opposite signs at the endpoints.
isBracketing(UnivariateFunction, double, double) - Static method in class org.apache.commons.math4.analysis.solvers.UnivariateSolverUtils: Check whether the interval bounds bracket a root.
isDefaultValue(double) - Method in class org.apache.commons.math4.linear.OpenMapRealVector: Determine if this value is within epsilon of zero.
isInfinite() - Method in class org.apache.commons.math4.linear.ArrayRealVector: Check whether any coordinate of this vector is infinite and none are NaN.
isInfinite() - Method in class org.apache.commons.math4.linear.OpenMapRealVector: Check whether any coordinate of this vector is infinite and none are NaN.
isInfinite() - Method in class org.apache.commons.math4.linear.RealVector: Check whether any coordinate of this vector is infinite and none are NaN.
isInfinite() - Method in class org.apache.commons.math4.util.Decimal64: Returns true if this double precision number is infinite (Double.POSITIVE_INFINITY or Double.NEGATIVE_INFINITY).
isInfinite() - Method in class org.apache.commons.numbers.complex.Complex: Returns true if either real or imaginary component of the Complex is Infinite
isLoaded() - Method in class org.apache.commons.math4.distribution.EmpiricalDistribution: Property indicating whether or not the distribution has been loaded.
isMonotonic(double[], MathArrays.OrderDirection, boolean) - Static method in class org.apache.commons.math4.util.MathArrays: Check that an array is monotonically increasing or decreasing.
isMonotonic(T[], MathArrays.OrderDirection, boolean) - Static method in class org.apache.commons.math4.util.MathArrays: Check that an array is monotonically increasing or decreasing.
isNaN() - Method in class org.apache.commons.math4.linear.ArrayRealVector: Check if any coordinate of this vector is NaN.
isNaN() - Method in class org.apache.commons.math4.linear.OpenMapRealVector: Check whether any coordinate of this vector is NaN.
isNaN() - Method in class org.apache.commons.math4.linear.RealVector: Check whether any coordinate of this vector is NaN.
isNaN() - Method in class org.apache.commons.math4.util.Decimal64: Returns true if this double precision number is Not-a-Number (NaN), false otherwise.
isNaN() - Method in class org.apache.commons.numbers.complex.Complex: Returns true if either real or imaginary component of the Complex is NaN
isNativeSeed(Object) - Method in enum org.apache.commons.rng.simple.RandomSource: Checks whether the type of given seed is the native type of the implementation.
isNativeSeed(SEED) - Method in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Checks whether the type of given seed is the native type of the implementation.
isNoIntercept() - Method in class org.apache.commons.math4.stat.regression.AbstractMultipleLinearRegression
isNonSingular() - Method in interface org.apache.commons.math4.linear.DecompositionSolver: Check if the decomposed matrix is non-singular.
isNonSingular() - Method in interface org.apache.commons.math4.linear.FieldDecompositionSolver: Check if the decomposed matrix is non-singular.
isPowerOfTwo(long) - Static method in class org.apache.commons.numbers.core.ArithmeticUtils: Returns true if the argument is a power of two.
isSequence(double, double, double) - Method in class org.apache.commons.math4.analysis.solvers.BaseAbstractUnivariateSolver: Check whether the arguments form a (strictly) increasing sequence.
isSequence(double, double, double) - Static method in class org.apache.commons.math4.analysis.solvers.UnivariateSolverUtils: Check whether the arguments form a (strictly) increasing sequence.
isSingular(double) - Method in class org.apache.commons.math4.linear.DiagonalMatrix: Returns whether this diagonal matrix is singular, i.e.
isSquare() - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Is this a square matrix?
isSquare() - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Is this a square matrix?
isSquare() - Method in interface org.apache.commons.math4.linear.AnyMatrix: Is this a square matrix?
isSupportConnected() - Method in class org.apache.commons.math4.distribution.EmpiricalDistribution: Indicates whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math4.distribution.EnumeratedIntegerDistribution: Indicates whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.math4.distribution.EnumeratedRealDistribution: Indicates whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.statistics.distribution.BetaDistribution: Indicates whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.statistics.distribution.BinomialDistribution: Indicates whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.statistics.distribution.CauchyDistribution: Indicates whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.statistics.distribution.ChiSquaredDistribution: Indicates whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.statistics.distribution.ConstantContinuousDistribution: Indicates whether the support is connected, i.e.
isSupportConnected() - Method in interface org.apache.commons.statistics.distribution.ContinuousDistribution: Indicates whether the support is connected, i.e.
isSupportConnected() - Method in interface org.apache.commons.statistics.distribution.DiscreteDistribution: Indicates whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.statistics.distribution.ExponentialDistribution: Indicates whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.statistics.distribution.FDistribution: Indicates whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.statistics.distribution.GammaDistribution: Indicates whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.statistics.distribution.GeometricDistribution: Indicates whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.statistics.distribution.GumbelDistribution: Indicates whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.statistics.distribution.HypergeometricDistribution: Indicates whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.statistics.distribution.LaplaceDistribution: Indicates whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.statistics.distribution.LevyDistribution: Indicates whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.statistics.distribution.LogisticDistribution: Indicates whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.statistics.distribution.LogNormalDistribution: Indicates whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.statistics.distribution.NakagamiDistribution: Indicates whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.statistics.distribution.NormalDistribution: Indicates whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.statistics.distribution.ParetoDistribution: Indicates whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.statistics.distribution.PascalDistribution: Indicates whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.statistics.distribution.PoissonDistribution: Indicates whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.statistics.distribution.TDistribution: Indicates whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.statistics.distribution.TriangularDistribution: Indicates whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.statistics.distribution.UniformContinuousDistribution: Indicates whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.statistics.distribution.UniformDiscreteDistribution: Indicates whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.statistics.distribution.WeibullDistribution: Indicates whether the support is connected, i.e.
isSupportConnected() - Method in class org.apache.commons.statistics.distribution.ZipfDistribution: Indicates whether the support is connected, i.e.
isSymmetric(RealMatrix, double) - Static method in class org.apache.commons.math4.linear.MatrixUtils: Checks whether a matrix is symmetric.
isTransposable() - Method in class org.apache.commons.math4.linear.RealLinearOperator: Returns true if this operator supports RealLinearOperator.operateTranspose(RealVector).
isValidPoint(double) - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialSplineFunction: Indicates whether a point is within the interpolation range.
isValidPoint(double, double) - Method in class org.apache.commons.math4.analysis.interpolation.BicubicInterpolatingFunction: Indicates whether a point is within the interpolation range.
isValidPoint(double, double) - Method in class org.apache.commons.math4.analysis.interpolation.PiecewiseBicubicSplineInterpolatingFunction: Indicates whether a point is within the interpolation range.
isValidPoint(double, double, double) - Method in class org.apache.commons.math4.analysis.interpolation.TricubicInterpolatingFunction: Indicates whether a point is within the interpolation range.
isValidRange() - Method in class org.apache.commons.rng.sampling.distribution.PoissonSamplerCache: Checks if the cache covers a valid range of mean values.
IterationEvent - Class in org.apache.commons.math4.util: The root class from which all events occurring while running an IterationManager should be derived.
IterationEvent(Object, int) - Constructor for class org.apache.commons.math4.util.IterationEvent: Creates a new instance of this class.
IterationListener - Interface in org.apache.commons.math4.util: The listener interface for receiving events occurring in an iterative algorithm.
IterationManager - Class in org.apache.commons.math4.util: This abstract class provides a general framework for managing iterative algorithms.
IterationManager(int) - Constructor for class org.apache.commons.math4.util.IterationManager: Creates a new instance of this class.
IterationManager(int, Incrementor.MaxCountExceededCallback) - Constructor for class org.apache.commons.math4.util.IterationManager: Creates a new instance of this class.
iterationPerformed(IterationEvent) - Method in interface org.apache.commons.math4.util.IterationListener: Invoked each time an iteration is completed (in the main iteration loop).
iterations - Variable in class org.apache.commons.math4.analysis.integration.BaseAbstractUnivariateIntegrator: The iteration count.
ITERATIONS - org.apache.commons.math4.exception.util.LocalizedFormats
iterationStarted(IterationEvent) - Method in interface org.apache.commons.math4.util.IterationListener: Invoked each time a new iteration is completed (in the main iteration loop).
IterativeLegendreGaussIntegrator - Class in org.apache.commons.math4.analysis.integration: This algorithm divides the integration interval into equally-sized sub-interval and on each of them performs a Legendre-Gauss quadrature.
IterativeLegendreGaussIntegrator(int, double, double) - Constructor for class org.apache.commons.math4.analysis.integration.IterativeLegendreGaussIntegrator: Builds an integrator with given accuracies.
IterativeLegendreGaussIntegrator(int, double, double, int, int) - Constructor for class org.apache.commons.math4.analysis.integration.IterativeLegendreGaussIntegrator: Builds an integrator with given accuracies and iterations counts.
IterativeLegendreGaussIntegrator(int, int, int) - Constructor for class org.apache.commons.math4.analysis.integration.IterativeLegendreGaussIntegrator: Builds an integrator with given iteration counts.
IterativeLinearSolver - Class in org.apache.commons.math4.linear: This abstract class defines an iterative solver for the linear system A · x = b.
IterativeLinearSolver(int) - Constructor for class org.apache.commons.math4.linear.IterativeLinearSolver: Creates a new instance of this class, with default iteration manager.
IterativeLinearSolver(IterationManager) - Constructor for class org.apache.commons.math4.linear.IterativeLinearSolver: Creates a new instance of this class, with custom iteration manager.
IterativeLinearSolverEvent - Class in org.apache.commons.math4.linear: This is the base class for all events occurring during the iterations of a IterativeLinearSolver.
IterativeLinearSolverEvent(Object, int) - Constructor for class org.apache.commons.math4.linear.IterativeLinearSolverEvent: Creates a new instance of this class.
iterator() - Method in class org.apache.commons.math4.linear.RealVector: Generic dense iterator.
iterator() - Method in class org.apache.commons.math4.util.IntegerSequence.Range
iterator() - Method in class org.apache.commons.math4.util.MultidimensionalCounter: Create an iterator over this counter.
iterator() - Method in class org.apache.commons.math4.util.OpenIntToDoubleHashMap: Get an iterator over map elements.
iterator() - Method in class org.apache.commons.math4.util.OpenIntToFieldHashMap: Get an iterator over map elements.
iterator() - Method in class org.apache.commons.numbers.combinatorics.Combinations
ITERATOR_EXHAUSTED - org.apache.commons.math4.exception.util.LocalizedFormats

J

JacobianFunction - Class in org.apache.commons.math4.analysis.differentiation: Class representing the Jacobian of a multivariate vector function.
JacobianFunction(MultivariateDifferentiableVectorFunction) - Constructor for class org.apache.commons.math4.analysis.differentiation.JacobianFunction: Simple constructor.
JacobiPreconditioner - Class in org.apache.commons.math4.linear: This class implements the standard Jacobi (diagonal) preconditioner.
JacobiPreconditioner(double[], boolean) - Constructor for class org.apache.commons.math4.linear.JacobiPreconditioner: Creates a new instance of this class.
JDK - org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is JDKRandom.
JDK - org.apache.commons.rng.simple.RandomSource: Source of randomness is JDKRandom.
JDKRandom - Class in org.apache.commons.rng.core.source32: A provider that uses the Random.nextInt() method of the JDK's Random class as the source of randomness.
JDKRandom(Long) - Constructor for class org.apache.commons.rng.core.source32.JDKRandom: Creates an instance with the given seed.
JDKRandomBridge - Class in org.apache.commons.rng.simple: Subclass of Random that delegates to a RestorableUniformRandomProvider instance but will otherwise rely on the base class for generating all the random types.
JDKRandomBridge(RandomSource, Object) - Constructor for class org.apache.commons.rng.simple.JDKRandomBridge: Creates a new instance.

K

KendallsCorrelation - Class in org.apache.commons.math4.stat.correlation: Implementation of Kendall's Tau-b rank correlation.
KendallsCorrelation() - Constructor for class org.apache.commons.math4.stat.correlation.KendallsCorrelation: Create a KendallsCorrelation instance without data.
KendallsCorrelation(double[][]) - Constructor for class org.apache.commons.math4.stat.correlation.KendallsCorrelation: Create a KendallsCorrelation from a rectangular array whose columns represent values of variables to be correlated.
KendallsCorrelation(RealMatrix) - Constructor for class org.apache.commons.math4.stat.correlation.KendallsCorrelation: Create a KendallsCorrelation from a RealMatrix whose columns represent variables to be correlated.
key() - Method in class org.apache.commons.math4.util.OpenIntToDoubleHashMap.Iterator: Get the key of current entry.
key() - Method in class org.apache.commons.math4.util.OpenIntToFieldHashMap.Iterator: Get the key of current entry.
KISS - org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is KISSRandom.
KISS - org.apache.commons.rng.simple.RandomSource: Source of randomness is KISSRandom.
KISSRandom - Class in org.apache.commons.rng.core.source32: Port from Marsaglia's "KISS" algorithm.
KISSRandom(int[]) - Constructor for class org.apache.commons.rng.core.source32.KISSRandom: Creates a new instance.
kolmogorovSmirnovStatistic(double[], double[]) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
kolmogorovSmirnovStatistic(double[], double[]) - Method in class org.apache.commons.math4.stat.inference.KolmogorovSmirnovTest: Computes the two-sample Kolmogorov-Smirnov test statistic, \(D_{n,m}=\sup_x |F_n(x)-F_m(x)|\) where \(n\) is the length of x, \(m\) is the length of y, \(F_n\) is the empirical distribution that puts mass \(1/n\) at each of the values in x and \(F_m\) is the empirical distribution of the y values.
kolmogorovSmirnovStatistic(ContinuousDistribution, double[]) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
kolmogorovSmirnovStatistic(ContinuousDistribution, double[]) - Method in class org.apache.commons.math4.stat.inference.KolmogorovSmirnovTest: Computes the one-sample Kolmogorov-Smirnov test statistic, \(D_n=\sup_x |F_n(x)-F(x)|\) where \(F\) is the distribution (cdf) function associated with distribution, \(n\) is the length of data and \(F_n\) is the empirical distribution that puts mass \(1/n\) at each of the values in data.
kolmogorovSmirnovTest(double[], double[]) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
kolmogorovSmirnovTest(double[], double[]) - Method in class org.apache.commons.math4.stat.inference.KolmogorovSmirnovTest: Computes the p-value, or observed significance level, of a two-sample Kolmogorov-Smirnov test evaluating the null hypothesis that x and y are samples drawn from the same probability distribution.
kolmogorovSmirnovTest(double[], double[], boolean) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
kolmogorovSmirnovTest(double[], double[], boolean) - Method in class org.apache.commons.math4.stat.inference.KolmogorovSmirnovTest: Computes the p-value, or observed significance level, of a two-sample Kolmogorov-Smirnov test evaluating the null hypothesis that x and y are samples drawn from the same probability distribution.
kolmogorovSmirnovTest(ContinuousDistribution, double[]) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
kolmogorovSmirnovTest(ContinuousDistribution, double[]) - Method in class org.apache.commons.math4.stat.inference.KolmogorovSmirnovTest: Computes the p-value, or observed significance level, of a one-sample Kolmogorov-Smirnov test evaluating the null hypothesis that data conforms to distribution.
kolmogorovSmirnovTest(ContinuousDistribution, double[], boolean) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
kolmogorovSmirnovTest(ContinuousDistribution, double[], boolean) - Method in class org.apache.commons.math4.stat.inference.KolmogorovSmirnovTest: Computes the p-value, or observed significance level, of a one-sample Kolmogorov-Smirnov test evaluating the null hypothesis that data conforms to distribution.
kolmogorovSmirnovTest(ContinuousDistribution, double[], double) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
kolmogorovSmirnovTest(ContinuousDistribution, double[], double) - Method in class org.apache.commons.math4.stat.inference.KolmogorovSmirnovTest: Performs a Kolmogorov-Smirnov test evaluating the null hypothesis that data conforms to distribution.
KolmogorovSmirnovTest - Class in org.apache.commons.math4.stat.inference: Implementation of the Kolmogorov-Smirnov (K-S) test for equality of continuous distributions.
KolmogorovSmirnovTest() - Constructor for class org.apache.commons.math4.stat.inference.KolmogorovSmirnovTest
ksSum(double, double, int) - Method in class org.apache.commons.math4.stat.inference.KolmogorovSmirnovTest: Computes \( 1 + 2 \sum_{i=1}^\infty (-1)^i e^{-2 i^2 t^2} \) stopping when successive partial sums are within tolerance of one another, or when maxIterations partial sums have been computed.
KthSelector - Class in org.apache.commons.math4.util: A Simple K^th selector implementation to pick up the K^th ordered element from a work array containing the input numbers.
KthSelector() - Constructor for class org.apache.commons.math4.util.KthSelector: Constructor with default median of 3 pivoting strategy
KthSelector(PivotingStrategyInterface) - Constructor for class org.apache.commons.math4.util.KthSelector: Constructor with specified pivoting strategy
Kurtosis - Class in org.apache.commons.math4.stat.descriptive.moment: Computes the Kurtosis of the available values.
Kurtosis() - Constructor for class org.apache.commons.math4.stat.descriptive.moment.Kurtosis: Construct a Kurtosis.
Kurtosis(FourthMoment) - Constructor for class org.apache.commons.math4.stat.descriptive.moment.Kurtosis: Construct a Kurtosis from an external moment.
Kurtosis(Kurtosis) - Constructor for class org.apache.commons.math4.stat.descriptive.moment.Kurtosis: Copy constructor, creates a new Kurtosis identical to the original.

L

laguerre(int) - Method in class org.apache.commons.math4.analysis.integration.gauss.GaussIntegratorFactory: Creates a Gauss-Laguerre integrator of the given order.
LaguerreRuleFactory - Class in org.apache.commons.math4.analysis.integration.gauss: Factory that creates Gauss-type quadrature rule using Laguerre polynomials.
LaguerreRuleFactory() - Constructor for class org.apache.commons.math4.analysis.integration.gauss.LaguerreRuleFactory
LaguerreSolver - Class in org.apache.commons.math4.analysis.solvers: Implements the Laguerre's Method for root finding of real coefficient polynomials.
LaguerreSolver() - Constructor for class org.apache.commons.math4.analysis.solvers.LaguerreSolver: Construct a solver with default accuracy (1e-6).
LaguerreSolver(double) - Constructor for class org.apache.commons.math4.analysis.solvers.LaguerreSolver: Construct a solver.
LaguerreSolver(double, double) - Constructor for class org.apache.commons.math4.analysis.solvers.LaguerreSolver: Construct a solver.
LaguerreSolver(double, double, double) - Constructor for class org.apache.commons.math4.analysis.solvers.LaguerreSolver: Construct a solver.
LanczosApproximation - Class in org.apache.commons.numbers.gamma: Lanczos approximation to the Gamma function.
LanczosApproximation() - Constructor for class org.apache.commons.numbers.gamma.LanczosApproximation
Laplace - Class in io.virtdata.continuous.int_double
Laplace - Class in io.virtdata.continuous.long_double
Laplace(double, double, String...) - Constructor for class io.virtdata.continuous.int_double.Laplace
Laplace(double, double, String...) - Constructor for class io.virtdata.continuous.long_double.Laplace
LaplaceAutoDocsInfo - Class in io.virtdata.continuous.int_double
LaplaceAutoDocsInfo - Class in io.virtdata.continuous.long_double
LaplaceAutoDocsInfo() - Constructor for class io.virtdata.continuous.int_double.LaplaceAutoDocsInfo
LaplaceAutoDocsInfo() - Constructor for class io.virtdata.continuous.long_double.LaplaceAutoDocsInfo
LaplaceDistribution - Class in org.apache.commons.statistics.distribution: This class implements the Laplace distribution.
LaplaceDistribution(double, double) - Constructor for class org.apache.commons.statistics.distribution.LaplaceDistribution: Creates a distribution.
LargeMeanPoissonSampler - Class in org.apache.commons.rng.sampling.distribution: Sampler for the Poisson distribution.
LargeMeanPoissonSampler(UniformRandomProvider, double) - Constructor for class org.apache.commons.rng.sampling.distribution.LargeMeanPoissonSampler
lcm(int, int) - Static method in class org.apache.commons.numbers.core.ArithmeticUtils: Returns the least common multiple of the absolute value of two numbers, using the formula lcm(a,b) = (a / gcd(a,b)) * b.
lcm(long, long) - Static method in class org.apache.commons.numbers.core.ArithmeticUtils: Returns the least common multiple of the absolute value of two numbers, using the formula lcm(a,b) = (a / gcd(a,b)) * b.
LCM_OVERFLOW_32_BITS - org.apache.commons.math4.exception.util.LocalizedFormats
LCM_OVERFLOW_64_BITS - org.apache.commons.math4.exception.util.LocalizedFormats
LEFT_SIDE - org.apache.commons.math4.analysis.solvers.AllowedSolution: Only solutions that are less than or equal to the actual root are acceptable as solutions for root-finding.
LEGACY - org.apache.commons.math4.stat.descriptive.rank.Percentile.EstimationType: This is the default type used in the Percentile.This method has the following formulae for index and estimates
\( \begin{align} &index = (N+1)p\ \\ &estimate = x_{\lceil h\,-\,1/2 \rceil} \\ &minLimit = 0 \\ &maxLimit = 1 \\ \end{align}\)
legendre(int) - Method in class org.apache.commons.math4.analysis.integration.gauss.GaussIntegratorFactory: Creates a Gauss-Legendre integrator of the given order.
legendre(int, double, double) - Method in class org.apache.commons.math4.analysis.integration.gauss.GaussIntegratorFactory: Creates a Gauss-Legendre integrator of the given order.
legendreHighPrecision(int) - Method in class org.apache.commons.math4.analysis.integration.gauss.GaussIntegratorFactory: Creates a Gauss-Legendre integrator of the given order.
legendreHighPrecision(int, double, double) - Method in class org.apache.commons.math4.analysis.integration.gauss.GaussIntegratorFactory: Creates an integrator of the given order, and whose call to the integrate method will perform an integration on the given interval.
LegendreHighPrecisionRuleFactory - Class in org.apache.commons.math4.analysis.integration.gauss: Factory that creates Gauss-type quadrature rule using Legendre polynomials.
LegendreHighPrecisionRuleFactory() - Constructor for class org.apache.commons.math4.analysis.integration.gauss.LegendreHighPrecisionRuleFactory: Default precision is DECIMAL128.
LegendreHighPrecisionRuleFactory(MathContext) - Constructor for class org.apache.commons.math4.analysis.integration.gauss.LegendreHighPrecisionRuleFactory
LegendreRuleFactory - Class in org.apache.commons.math4.analysis.integration.gauss: Factory that creates Gauss-type quadrature rule using Legendre polynomials.
LegendreRuleFactory() - Constructor for class org.apache.commons.math4.analysis.integration.gauss.LegendreRuleFactory
LENGTH - org.apache.commons.math4.exception.util.LocalizedFormats
LESS_THAN - org.apache.commons.math4.stat.inference.AlternativeHypothesis: Represents a left-sided test.
Levy - Class in io.virtdata.continuous.int_double
Levy - Class in io.virtdata.continuous.long_double
Levy(double, double, String...) - Constructor for class io.virtdata.continuous.int_double.Levy
Levy(double, double, String...) - Constructor for class io.virtdata.continuous.long_double.Levy
LevyAutoDocsInfo - Class in io.virtdata.continuous.int_double
LevyAutoDocsInfo - Class in io.virtdata.continuous.long_double
LevyAutoDocsInfo() - Constructor for class io.virtdata.continuous.int_double.LevyAutoDocsInfo
LevyAutoDocsInfo() - Constructor for class io.virtdata.continuous.long_double.LevyAutoDocsInfo
LevyDistribution - Class in org.apache.commons.statistics.distribution: This class implements the Lévy distribution.
LevyDistribution(double, double) - Constructor for class org.apache.commons.statistics.distribution.LevyDistribution: Creates a distribution.
LexicographicComparator(int, int) - Constructor for class org.apache.commons.numbers.combinatorics.Combinations.LexicographicComparator
linearCombination(double[], DerivativeStructure[]) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Compute a linear combination.
linearCombination(double[], SparseGradient[]) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Compute a linear combination.
linearCombination(double[], Decimal64[]) - Method in class org.apache.commons.math4.util.Decimal64: Compute a linear combination.
linearCombination(double[], T[]) - Method in interface org.apache.commons.math4.RealFieldElement: Compute a linear combination.
linearCombination(double, double[], int, double, double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Compute linear combination.
linearCombination(double, double[], int, double, double[], int, double, double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Compute linear combination.
linearCombination(double, double[], int, double, double[], int, double, double[], int, double, double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Compute linear combination.
linearCombination(double, DerivativeStructure, double, DerivativeStructure) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Compute a linear combination.
linearCombination(double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Compute a linear combination.
linearCombination(double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Compute a linear combination.
linearCombination(double, SparseGradient, double, SparseGradient) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Compute a linear combination.
linearCombination(double, SparseGradient, double, SparseGradient, double, SparseGradient) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Compute a linear combination.
linearCombination(double, SparseGradient, double, SparseGradient, double, SparseGradient, double, SparseGradient) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Compute a linear combination.
linearCombination(double, Decimal64, double, Decimal64) - Method in class org.apache.commons.math4.util.Decimal64: Compute a linear combination.
linearCombination(double, Decimal64, double, Decimal64, double, Decimal64) - Method in class org.apache.commons.math4.util.Decimal64: Compute a linear combination.
linearCombination(double, Decimal64, double, Decimal64, double, Decimal64, double, Decimal64) - Method in class org.apache.commons.math4.util.Decimal64: Compute a linear combination.
linearCombination(double, T, double, T) - Method in interface org.apache.commons.math4.RealFieldElement: Compute a linear combination.
linearCombination(double, T, double, T, double, T) - Method in interface org.apache.commons.math4.RealFieldElement: Compute a linear combination.
linearCombination(double, T, double, T, double, T, double, T) - Method in interface org.apache.commons.math4.RealFieldElement: Compute a linear combination.
linearCombination(DerivativeStructure[], DerivativeStructure[]) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Compute a linear combination.
linearCombination(DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Compute a linear combination.
linearCombination(DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Compute a linear combination.
linearCombination(DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Compute a linear combination.
linearCombination(SparseGradient[], SparseGradient[]) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Compute a linear combination.
linearCombination(SparseGradient, SparseGradient, SparseGradient, SparseGradient) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Compute a linear combination.
linearCombination(SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Compute a linear combination.
linearCombination(SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Compute a linear combination.
linearCombination(Decimal64[], Decimal64[]) - Method in class org.apache.commons.math4.util.Decimal64: Compute a linear combination.
linearCombination(Decimal64, Decimal64, Decimal64, Decimal64) - Method in class org.apache.commons.math4.util.Decimal64: Compute a linear combination.
linearCombination(Decimal64, Decimal64, Decimal64, Decimal64, Decimal64, Decimal64) - Method in class org.apache.commons.math4.util.Decimal64: Compute a linear combination.
linearCombination(Decimal64, Decimal64, Decimal64, Decimal64, Decimal64, Decimal64, Decimal64, Decimal64) - Method in class org.apache.commons.math4.util.Decimal64: Compute a linear combination.
linearCombination(T[], T[]) - Method in interface org.apache.commons.math4.RealFieldElement: Compute a linear combination.
linearCombination(T, T, T, T) - Method in interface org.apache.commons.math4.RealFieldElement: Compute a linear combination.
linearCombination(T, T, T, T, T, T) - Method in interface org.apache.commons.math4.RealFieldElement: Compute a linear combination.
linearCombination(T, T, T, T, T, T, T, T) - Method in interface org.apache.commons.math4.RealFieldElement: Compute a linear combination.
LinearCombination - Class in org.apache.commons.numbers.arrays: Computes linear combinations accurately.
LinearCombination() - Constructor for class org.apache.commons.numbers.arrays.LinearCombination
LinearInterpolator - Class in org.apache.commons.math4.analysis.interpolation: Implements a linear function for interpolation of real univariate functions.
LinearInterpolator() - Constructor for class org.apache.commons.math4.analysis.interpolation.LinearInterpolator
LIST_OF_CHROMOSOMES_BIGGER_THAN_POPULATION_SIZE - org.apache.commons.math4.exception.util.LocalizedFormats
ListSampler - Class in org.apache.commons.rng.sampling: Sampling from a List.
load(double[]) - Method in class org.apache.commons.math4.distribution.EmpiricalDistribution: Computes the empirical distribution from the provided array of numbers.
load(File) - Method in class org.apache.commons.math4.distribution.EmpiricalDistribution: Computes the empirical distribution from the input file.
load(URL) - Method in class org.apache.commons.math4.distribution.EmpiricalDistribution: Computes the empirical distribution using data read from a URL.
Localizable - Interface in org.apache.commons.math4.exception.util: Interface for localizable strings.
LocalizedFormats - Enum in org.apache.commons.math4.exception.util: Enumeration for localized messages formats used in exceptions messages.
LOESS_EXPECTS_AT_LEAST_ONE_POINT - org.apache.commons.math4.exception.util.LocalizedFormats
LoessInterpolator - Class in org.apache.commons.math4.analysis.interpolation: Implements the Local Regression Algorithm (also Loess, Lowess) for interpolation of real univariate functions.
LoessInterpolator() - Constructor for class org.apache.commons.math4.analysis.interpolation.LoessInterpolator: Constructs a new LoessInterpolator with a bandwidth of LoessInterpolator.DEFAULT_BANDWIDTH, LoessInterpolator.DEFAULT_ROBUSTNESS_ITERS robustness iterations and an accuracy of {#link #DEFAULT_ACCURACY}.
LoessInterpolator(double, int) - Constructor for class org.apache.commons.math4.analysis.interpolation.LoessInterpolator: Construct a new LoessInterpolator with given bandwidth and number of robustness iterations.
LoessInterpolator(double, int, double) - Constructor for class org.apache.commons.math4.analysis.interpolation.LoessInterpolator: Construct a new LoessInterpolator with given bandwidth, number of robustness iterations and accuracy.
log() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Natural logarithm.
log() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Natural logarithm.
log() - Method in interface org.apache.commons.math4.RealFieldElement: Natural logarithm.
log() - Method in class org.apache.commons.math4.util.Decimal64: Natural logarithm.
log() - Method in class org.apache.commons.numbers.complex.Complex: Compute the natural logarithm of this complex number.
log(double) - Static method in class org.apache.commons.math4.util.FastMath: Natural logarithm.
log(double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Compute natural logarithm of a derivative structure.
log(double, double) - Static method in class org.apache.commons.math4.util.FastMath: Computes the logarithm in a given base.
Log - Class in org.apache.commons.math4.analysis.function: Natural logarithm function.
Log() - Constructor for class org.apache.commons.math4.analysis.function.Log
log10() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Base 10 logarithm.
log10() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Base 10 logarithm.
log10() - Method in interface org.apache.commons.math4.RealFieldElement: Base 10 logarithm.
log10() - Method in class org.apache.commons.math4.util.Decimal64: Base 10 logarithm.
log10() - Method in class org.apache.commons.numbers.complex.Complex: Compute the base 10 or common logarithm of this complex number.
log10(double) - Static method in class org.apache.commons.math4.util.FastMath: Compute the base 10 logarithm.
log10(double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Computes base 10 logarithm of a derivative structure.
Log10 - Class in org.apache.commons.math4.analysis.function: Base 10 logarithm function.
Log10() - Constructor for class org.apache.commons.math4.analysis.function.Log10
log1p() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Shifted natural logarithm.
log1p() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Shifted natural logarithm.
log1p() - Method in interface org.apache.commons.math4.RealFieldElement: Shifted natural logarithm.
log1p() - Method in class org.apache.commons.math4.util.Decimal64: Shifted natural logarithm.
log1p(double) - Static method in class org.apache.commons.math4.util.FastMath: Computes log(1 + x).
log1p(double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Computes shifted logarithm of a derivative structure.
Log1p - Class in org.apache.commons.math4.analysis.function: log(1 + p) function.
Log1p() - Constructor for class org.apache.commons.math4.analysis.function.Log1p
LogBeta - Class in org.apache.commons.numbers.gamma: Computes \( log_e \Beta(p, q) \).
LogBeta() - Constructor for class org.apache.commons.numbers.gamma.LogBeta
LogBinomialCoefficient - Class in org.apache.commons.numbers.combinatorics: Natural logarithm of the binomial coefficient.
LogBinomialCoefficient() - Constructor for class org.apache.commons.numbers.combinatorics.LogBinomialCoefficient
logDensity(double) - Method in class org.apache.commons.math4.distribution.AbstractRealDistribution: Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
logDensity(double) - Method in class org.apache.commons.statistics.distribution.BetaDistribution: Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
logDensity(double) - Method in class org.apache.commons.statistics.distribution.ChiSquaredDistribution: Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
logDensity(double) - Method in interface org.apache.commons.statistics.distribution.ContinuousDistribution: Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
logDensity(double) - Method in class org.apache.commons.statistics.distribution.ExponentialDistribution: Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
logDensity(double) - Method in class org.apache.commons.statistics.distribution.FDistribution: Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
logDensity(double) - Method in class org.apache.commons.statistics.distribution.GammaDistribution: Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
logDensity(double) - Method in class org.apache.commons.statistics.distribution.LevyDistribution: Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
logDensity(double) - Method in class org.apache.commons.statistics.distribution.LogNormalDistribution: Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
logDensity(double) - Method in class org.apache.commons.statistics.distribution.NormalDistribution: Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
logDensity(double) - Method in class org.apache.commons.statistics.distribution.ParetoDistribution: Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
logDensity(double) - Method in class org.apache.commons.statistics.distribution.TDistribution: Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
logDensity(double) - Method in class org.apache.commons.statistics.distribution.WeibullDistribution: Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
LogFactorial - Class in org.apache.commons.numbers.combinatorics: Class for computing the natural logarithm of the factorial of a number.
LogGamma - Class in org.apache.commons.numbers.gamma: Function \( \ln \Gamma(x) \).
LogGamma() - Constructor for class org.apache.commons.numbers.gamma.LogGamma
Logistic - Class in io.virtdata.continuous.int_double
Logistic - Class in io.virtdata.continuous.long_double
Logistic - Class in org.apache.commons.math4.analysis.function: Generalised logistic function.
Logistic(double, double, double, double, double, double) - Constructor for class org.apache.commons.math4.analysis.function.Logistic
Logistic(double, double, String...) - Constructor for class io.virtdata.continuous.int_double.Logistic
Logistic(double, double, String...) - Constructor for class io.virtdata.continuous.long_double.Logistic
Logistic.Parametric - Class in org.apache.commons.math4.analysis.function: Parametric function where the input array contains the parameters of the logistic function, ordered as follows: k m b q a n
LogisticAutoDocsInfo - Class in io.virtdata.continuous.int_double
LogisticAutoDocsInfo - Class in io.virtdata.continuous.long_double
LogisticAutoDocsInfo() - Constructor for class io.virtdata.continuous.int_double.LogisticAutoDocsInfo
LogisticAutoDocsInfo() - Constructor for class io.virtdata.continuous.long_double.LogisticAutoDocsInfo
LogisticDistribution - Class in org.apache.commons.statistics.distribution: Implementation of the Logistic distribution.
LogisticDistribution(double, double) - Constructor for class org.apache.commons.statistics.distribution.LogisticDistribution: Creates a distribution.
Logit - Class in org.apache.commons.math4.analysis.function: Logit function.
Logit() - Constructor for class org.apache.commons.math4.analysis.function.Logit: Usual logit function, where the lower bound is 0 and the higher bound is 1.
Logit(double, double) - Constructor for class org.apache.commons.math4.analysis.function.Logit: Logit function.
Logit.Parametric - Class in org.apache.commons.math4.analysis.function: Parametric function where the input array contains the parameters of the logit function, ordered as follows: Lower bound Higher bound
LogNormal - Class in io.virtdata.continuous.int_double
LogNormal - Class in io.virtdata.continuous.long_double
LogNormal(double, double, String...) - Constructor for class io.virtdata.continuous.int_double.LogNormal
LogNormal(double, double, String...) - Constructor for class io.virtdata.continuous.long_double.LogNormal
LogNormalAutoDocsInfo - Class in io.virtdata.continuous.int_double
LogNormalAutoDocsInfo - Class in io.virtdata.continuous.long_double
LogNormalAutoDocsInfo() - Constructor for class io.virtdata.continuous.int_double.LogNormalAutoDocsInfo
LogNormalAutoDocsInfo() - Constructor for class io.virtdata.continuous.long_double.LogNormalAutoDocsInfo
LogNormalDistribution - Class in org.apache.commons.statistics.distribution: Implementation of the log-normal distribution.
LogNormalDistribution(double, double) - Constructor for class org.apache.commons.statistics.distribution.LogNormalDistribution: Creates a log-normal distribution.
LogNormalSampler - Class in org.apache.commons.rng.sampling.distribution: Sampling from a log-normal distribution.
LogNormalSampler(NormalizedGaussianSampler, double, double) - Constructor for class org.apache.commons.rng.sampling.distribution.LogNormalSampler
logProbability(int) - Method in class org.apache.commons.math4.distribution.AbstractIntegerDistribution: For a random variable X whose values are distributed according to this distribution, this method returns log(P(X = x)), where log is the natural logarithm.
logProbability(int) - Method in class org.apache.commons.statistics.distribution.BinomialDistribution: For a random variable X whose values are distributed according to this distribution, this method returns log(P(X = x)), where log is the natural logarithm.
logProbability(int) - Method in interface org.apache.commons.statistics.distribution.DiscreteDistribution: For a random variable X whose values are distributed according to this distribution, this method returns log(P(X = x)), where log is the natural logarithm.
logProbability(int) - Method in class org.apache.commons.statistics.distribution.GeometricDistribution: For a random variable X whose values are distributed according to this distribution, this method returns log(P(X = x)), where log is the natural logarithm.
logProbability(int) - Method in class org.apache.commons.statistics.distribution.HypergeometricDistribution: For a random variable X whose values are distributed according to this distribution, this method returns log(P(X = x)), where log is the natural logarithm.
logProbability(int) - Method in class org.apache.commons.statistics.distribution.PascalDistribution: For a random variable X whose values are distributed according to this distribution, this method returns log(P(X = x)), where log is the natural logarithm.
logProbability(int) - Method in class org.apache.commons.statistics.distribution.PoissonDistribution: For a random variable X whose values are distributed according to this distribution, this method returns log(P(X = x)), where log is the natural logarithm.
logProbability(int) - Method in class org.apache.commons.statistics.distribution.ZipfDistribution: For a random variable X whose values are distributed according to this distribution, this method returns log(P(X = x)), where log is the natural logarithm.
Long2Int - Class in org.apache.commons.rng.simple.internal: Converts a Long to an Integer.
Long2Int() - Constructor for class org.apache.commons.rng.simple.internal.Long2Int
Long2IntArray - Class in org.apache.commons.rng.simple.internal: Uses a long value to seed a SplitMix64 RNG and create a int[] with the requested number of random values.
Long2IntArray(int) - Constructor for class org.apache.commons.rng.simple.internal.Long2IntArray
Long2LongArray - Class in org.apache.commons.rng.simple.internal: Uses a Long value to seed a SplitMix64 RNG and create a long[] with the requested number of random values.
Long2LongArray(int) - Constructor for class org.apache.commons.rng.simple.internal.Long2LongArray
LongArray2IntArray - Class in org.apache.commons.rng.simple.internal: Creates an int[] from a long[].
LongArray2IntArray() - Constructor for class org.apache.commons.rng.simple.internal.LongArray2IntArray
LongArray2Long - Class in org.apache.commons.rng.simple.internal: Creates a single value by "xor" of all the values in the input array.
LongArray2Long() - Constructor for class org.apache.commons.rng.simple.internal.LongArray2Long
LongProvider - Class in org.apache.commons.rng.core.source64: Base class for all implementations that provide a long-based source randomness.
LongProvider() - Constructor for class org.apache.commons.rng.core.source64.LongProvider
LongToDoubleContinuousCurve - Class in io.virtdata.continuous.long_double
LongToDoubleContinuousCurve(ContinuousDistribution, String...) - Constructor for class io.virtdata.continuous.long_double.LongToDoubleContinuousCurve
LongToIntDiscreteCurve - Class in io.virtdata.discrete.long_int
LongToIntDiscreteCurve(DiscreteDistribution, String...) - Constructor for class io.virtdata.discrete.long_int.LongToIntDiscreteCurve
LongToLongDiscreteCurve - Class in io.virtdata.discrete.long_long
LongToLongDiscreteCurve(DiscreteDistribution, String...) - Constructor for class io.virtdata.discrete.long_long.LongToLongDiscreteCurve
longValue() - Method in class org.apache.commons.math4.fraction.BigFraction: Gets the fraction as a long.
longValue() - Method in class org.apache.commons.math4.fraction.Fraction: Gets the fraction as a long.
longValue() - Method in class org.apache.commons.math4.util.Decimal64: The current implementation performs casting to a long.
longValue() - Method in class org.apache.commons.numbers.fraction.BigFraction: Gets the fraction as a long.
longValue() - Method in class org.apache.commons.numbers.fraction.Fraction: Gets the fraction as a long.
LOWER_BOUND_NOT_BELOW_UPPER_BOUND - org.apache.commons.math4.exception.util.LocalizedFormats
LOWER_ENDPOINT_ABOVE_UPPER_ENDPOINT - org.apache.commons.math4.exception.util.LocalizedFormats
LUDecomposition - Class in org.apache.commons.math4.linear: Calculates the LUP-decomposition of a square matrix.
LUDecomposition(RealMatrix) - Constructor for class org.apache.commons.math4.linear.LUDecomposition: Calculates the LU-decomposition of the given matrix.
LUDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math4.linear.LUDecomposition: Calculates the LU-decomposition of the given matrix.

M

m2 - Variable in class org.apache.commons.math4.stat.descriptive.moment.SecondMoment: second moment of values that have been added
main(String[]) - Static method in class org.apache.commons.math4.util.FastMath: Print out contents of arrays, and check the length.
makeBoolean(int) - Static method in class org.apache.commons.rng.core.util.NumberFactory: Deprecated.
Since version 1.2. Method has become obsolete following RNG-57.
makeBoolean(long) - Static method in class org.apache.commons.rng.core.util.NumberFactory: Deprecated.
Since version 1.2. Method has become obsolete following RNG-57.
makeByteArray(int) - Static method in class org.apache.commons.rng.core.util.NumberFactory: Splits an int into 4 bytes.
makeByteArray(int[]) - Static method in class org.apache.commons.rng.core.util.NumberFactory: Splits an array of int values into a sequence of bytes.
makeByteArray(long) - Static method in class org.apache.commons.rng.core.util.NumberFactory: Splits a long into 8 bytes.
makeByteArray(long[]) - Static method in class org.apache.commons.rng.core.util.NumberFactory: Splits an array of long values into a sequence of bytes.
makeDouble(int, int) - Static method in class org.apache.commons.rng.core.util.NumberFactory
makeDouble(long) - Static method in class org.apache.commons.rng.core.util.NumberFactory
makeFloat(int) - Static method in class org.apache.commons.rng.core.util.NumberFactory
makeInt(byte[]) - Static method in class org.apache.commons.rng.core.util.NumberFactory: Creates an int from 4 bytes.
makeInt(long) - Static method in class org.apache.commons.rng.core.util.NumberFactory: Deprecated.
Since version 1.2. Method has become obsolete following RNG-57.
makeIntArray(byte[]) - Static method in class org.apache.commons.rng.core.util.NumberFactory: Creates an array of int values from a sequence of bytes.
makeLong(byte[]) - Static method in class org.apache.commons.rng.core.util.NumberFactory: Creates a long from 8 bytes.
makeLong(int, int) - Static method in class org.apache.commons.rng.core.util.NumberFactory
makeLongArray(byte[]) - Static method in class org.apache.commons.rng.core.util.NumberFactory: Creates an array of long values from a sequence of bytes.
mannWhitneyU(double[], double[]) - Method in class org.apache.commons.math4.stat.inference.MannWhitneyUTest: Computes the Mann-Whitney U statistic comparing mean for two independent samples possibly of different length.
mannWhitneyUTest(double[], double[]) - Method in class org.apache.commons.math4.stat.inference.MannWhitneyUTest: Returns the asymptotic observed significance level, or p-value, associated with a Mann-Whitney U statistic comparing mean for two independent samples.
MannWhitneyUTest - Class in org.apache.commons.math4.stat.inference: An implementation of the Mann-Whitney U test (also called Wilcoxon rank-sum test).
MannWhitneyUTest() - Constructor for class org.apache.commons.math4.stat.inference.MannWhitneyUTest: Create a test instance using where NaN's are left in place and ties get the average of applicable ranks.
MannWhitneyUTest(NaNStrategy, TiesStrategy) - Constructor for class org.apache.commons.math4.stat.inference.MannWhitneyUTest: Create a test instance using the given strategies for NaN's and ties.
map(UnivariateFunction) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Acts as if implemented as:
map(UnivariateFunction) - Method in class org.apache.commons.math4.linear.RealVector: Acts as if implemented as:
MAP - Static variable in class io.virtdata.continuous.int_double.IntToDoubleContinuousCurve
MAP - Static variable in class io.virtdata.continuous.long_double.LongToDoubleContinuousCurve
MAP - Static variable in class io.virtdata.discrete.int_int.IntToIntDiscreteCurve
MAP - Static variable in class io.virtdata.discrete.int_long.IntToLongDiscreteCurve
MAP - Static variable in class io.virtdata.discrete.long_int.LongToIntDiscreteCurve
MAP - Static variable in class io.virtdata.discrete.long_long.LongToLongDiscreteCurve
MAP_MODIFIED_WHILE_ITERATING - org.apache.commons.math4.exception.util.LocalizedFormats
mapAdd(double) - Method in class org.apache.commons.math4.linear.OpenMapRealVector: Add a value to each entry.
mapAdd(double) - Method in class org.apache.commons.math4.linear.RealVector: Add a value to each entry.
mapAdd(T) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Map an addition operation to each entry.
mapAdd(T) - Method in interface org.apache.commons.math4.linear.FieldVector: Map an addition operation to each entry.
mapAdd(T) - Method in class org.apache.commons.math4.linear.SparseFieldVector: Map an addition operation to each entry.
mapAddToSelf(double) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Add a value to each entry.
mapAddToSelf(double) - Method in class org.apache.commons.math4.linear.OpenMapRealVector: Add a value to each entry.
mapAddToSelf(double) - Method in class org.apache.commons.math4.linear.RealVector: Add a value to each entry.
mapAddToSelf(T) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Map an addition operation to each entry.
mapAddToSelf(T) - Method in interface org.apache.commons.math4.linear.FieldVector: Map an addition operation to each entry.
mapAddToSelf(T) - Method in class org.apache.commons.math4.linear.SparseFieldVector: Map an addition operation to each entry.
mapDivide(double) - Method in class org.apache.commons.math4.linear.RealVector: Divide each entry by the argument.
mapDivide(T) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Map a division operation to each entry.
mapDivide(T) - Method in interface org.apache.commons.math4.linear.FieldVector: Map a division operation to each entry.
mapDivide(T) - Method in class org.apache.commons.math4.linear.SparseFieldVector: Map a division operation to each entry.
mapDivideToSelf(double) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Divide each entry by the argument.
mapDivideToSelf(double) - Method in class org.apache.commons.math4.linear.RealVector: Divide each entry by the argument.
mapDivideToSelf(T) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Map a division operation to each entry.
mapDivideToSelf(T) - Method in interface org.apache.commons.math4.linear.FieldVector: Map a division operation to each entry.
mapDivideToSelf(T) - Method in class org.apache.commons.math4.linear.SparseFieldVector: Map a division operation to each entry.
mapInv() - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Map the 1/x function to each entry.
mapInv() - Method in interface org.apache.commons.math4.linear.FieldVector: Map the 1/x function to each entry.
mapInv() - Method in class org.apache.commons.math4.linear.SparseFieldVector: Map the 1/x function to each entry.
mapInvToSelf() - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Map the 1/x function to each entry.
mapInvToSelf() - Method in interface org.apache.commons.math4.linear.FieldVector: Map the 1/x function to each entry.
mapInvToSelf() - Method in class org.apache.commons.math4.linear.SparseFieldVector: Map the 1/x function to each entry.
mapMultiply(double) - Method in class org.apache.commons.math4.linear.RealVector: Multiply each entry by the argument.
mapMultiply(T) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Map a multiplication operation to each entry.
mapMultiply(T) - Method in interface org.apache.commons.math4.linear.FieldVector: Map a multiplication operation to each entry.
mapMultiply(T) - Method in class org.apache.commons.math4.linear.SparseFieldVector: Map a multiplication operation to each entry.
mapMultiplyToSelf(double) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Multiply each entry.
mapMultiplyToSelf(double) - Method in class org.apache.commons.math4.linear.RealVector: Multiply each entry.
mapMultiplyToSelf(T) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Map a multiplication operation to each entry.
mapMultiplyToSelf(T) - Method in interface org.apache.commons.math4.linear.FieldVector: Map a multiplication operation to each entry.
mapMultiplyToSelf(T) - Method in class org.apache.commons.math4.linear.SparseFieldVector: Map a multiplication operation to each entry.
mapSubtract(double) - Method in class org.apache.commons.math4.linear.RealVector: Subtract a value from each entry.
mapSubtract(T) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Map a subtraction operation to each entry.
mapSubtract(T) - Method in interface org.apache.commons.math4.linear.FieldVector: Map a subtraction operation to each entry.
mapSubtract(T) - Method in class org.apache.commons.math4.linear.SparseFieldVector: Map a subtraction operation to each entry.
mapSubtractToSelf(double) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Subtract a value from each entry.
mapSubtractToSelf(double) - Method in class org.apache.commons.math4.linear.RealVector: Subtract a value from each entry.
mapSubtractToSelf(T) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Map a subtraction operation to each entry.
mapSubtractToSelf(T) - Method in interface org.apache.commons.math4.linear.FieldVector: Map a subtraction operation to each entry.
mapSubtractToSelf(T) - Method in class org.apache.commons.math4.linear.SparseFieldVector: Map a subtraction operation to each entry.
mapToSelf(UnivariateFunction) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Acts as if it is implemented as: Entry e = null; for(Iterator<Entry> it = iterator(); it.hasNext(); e = it.next()) { e.setValue(function.value(e.getValue())); } Entries of this vector are modified in-place by this method.
mapToSelf(UnivariateFunction) - Method in class org.apache.commons.math4.linear.RealVector: Acts as if it is implemented as: Entry e = null; for(Iterator<Entry> it = iterator(); it.hasNext(); e = it.next()) { e.setValue(function.value(e.getValue())); } Entries of this vector are modified in-place by this method.
MarsagliaNormalizedGaussianSampler - Class in org.apache.commons.rng.sampling.distribution: Marsaglia polar method for sampling from a Gaussian distribution with mean 0 and standard deviation 1.
MarsagliaNormalizedGaussianSampler(UniformRandomProvider) - Constructor for class org.apache.commons.rng.sampling.distribution.MarsagliaNormalizedGaussianSampler
MathArithmeticException - Exception in org.apache.commons.math4.exception: Base class for arithmetic exceptions.
MathArithmeticException() - Constructor for exception org.apache.commons.math4.exception.MathArithmeticException: Default constructor.
MathArithmeticException(Localizable, Object...) - Constructor for exception org.apache.commons.math4.exception.MathArithmeticException: Constructor with a specific message.
MathArrays - Class in org.apache.commons.math4.util: Arrays utilities.
MathArrays.Function - Interface in org.apache.commons.math4.util: Real-valued function that operate on an array or a part of it.
MathArrays.OrderDirection - Enum in org.apache.commons.math4.util: Specification of ordering direction.
MathIllegalArgumentException - Exception in org.apache.commons.math4.exception: Base class for all preconditions violation exceptions.
MathIllegalArgumentException(Localizable, Object...) - Constructor for exception org.apache.commons.math4.exception.MathIllegalArgumentException
MathIllegalNumberException - Exception in org.apache.commons.math4.exception: Base class for exceptions raised by a wrong number.
MathIllegalNumberException(Localizable, Number, Object...) - Constructor for exception org.apache.commons.math4.exception.MathIllegalNumberException: Construct an exception.
MathIllegalStateException - Exception in org.apache.commons.math4.exception: Base class for all exceptions that signal that the process throwing the exception is in a state that does not comply with the set of states that it is designed to be in.
MathIllegalStateException() - Constructor for exception org.apache.commons.math4.exception.MathIllegalStateException: Default constructor.
MathIllegalStateException(Throwable, Localizable, Object...) - Constructor for exception org.apache.commons.math4.exception.MathIllegalStateException: Simple constructor.
MathIllegalStateException(Localizable, Object...) - Constructor for exception org.apache.commons.math4.exception.MathIllegalStateException: Simple constructor.
MathInternalError - Exception in org.apache.commons.math4.exception: Exception triggered when something that shouldn't happen does happen.
MathInternalError() - Constructor for exception org.apache.commons.math4.exception.MathInternalError: Simple constructor.
MathInternalError(Throwable) - Constructor for exception org.apache.commons.math4.exception.MathInternalError: Simple constructor.
MathInternalError(Localizable, Object...) - Constructor for exception org.apache.commons.math4.exception.MathInternalError: Constructor accepting a localized message.
MathParseException - Exception in org.apache.commons.math4.exception: Class to signal parse failures.
MathParseException(String, int) - Constructor for exception org.apache.commons.math4.exception.MathParseException
MathParseException(String, int, Class<?>) - Constructor for exception org.apache.commons.math4.exception.MathParseException
MathRuntimeException - Exception in org.apache.commons.math4.exception: As of release 4.0, all exceptions thrown by the Commons Math code (except NullArgumentException) inherit from this class.
MathRuntimeException(Throwable, Localizable, Object...) - Constructor for exception org.apache.commons.math4.exception.MathRuntimeException
MathRuntimeException(Localizable, Object...) - Constructor for exception org.apache.commons.math4.exception.MathRuntimeException
MathUnsupportedOperationException - Exception in org.apache.commons.math4.exception: Base class for all unsupported features.
MathUnsupportedOperationException() - Constructor for exception org.apache.commons.math4.exception.MathUnsupportedOperationException: Default constructor.
MathUnsupportedOperationException(Localizable, Object...) - Constructor for exception org.apache.commons.math4.exception.MathUnsupportedOperationException
MathUtils - Class in org.apache.commons.math4.util: Miscellaneous utility functions.
MatrixDimensionMismatchException - Exception in org.apache.commons.math4.linear: Exception to be thrown when either the number of rows or the number of columns of a matrix do not match the expected values.
MatrixDimensionMismatchException(int, int, int, int) - Constructor for exception org.apache.commons.math4.linear.MatrixDimensionMismatchException: Construct an exception from the mismatched dimensions.
MatrixUtils - Class in org.apache.commons.math4.linear: A collection of static methods that operate on or return matrices.
max(double[]) - Static method in class org.apache.commons.math4.stat.StatUtils: Returns the maximum of the entries in the input array, or Double.NaN if the array is empty.
max(double[], int, int) - Static method in class org.apache.commons.math4.stat.StatUtils: Returns the maximum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
max(double, double) - Static method in class org.apache.commons.math4.util.FastMath: Compute the maximum of two values
max(float, float) - Static method in class org.apache.commons.math4.util.FastMath: Compute the maximum of two values
max(int, int) - Static method in class org.apache.commons.math4.util.FastMath: Compute the maximum of two values
max(long, long) - Static method in class org.apache.commons.math4.util.FastMath: Compute the maximum of two values
max(T, T) - Static method in class org.apache.commons.math4.util.MathUtils: Find the maximum of two field elements.
Max - Class in org.apache.commons.math4.analysis.function: Maximum function.
Max - Class in org.apache.commons.math4.stat.descriptive.rank: Returns the maximum of the available values.
Max() - Constructor for class org.apache.commons.math4.analysis.function.Max
Max() - Constructor for class org.apache.commons.math4.stat.descriptive.rank.Max: Create a Max instance.
Max(Max) - Constructor for class org.apache.commons.math4.stat.descriptive.rank.Max: Copy constructor, creates a new Max identical to the original.
MAX_COUNT_EXCEEDED - org.apache.commons.math4.exception.util.LocalizedFormats
MAX_ITERATIONS_EXCEEDED - org.apache.commons.math4.exception.util.LocalizedFormats
MaxCountExceededException - Exception in org.apache.commons.math4.exception: Exception to be thrown when some counter maximum value is exceeded.
MaxCountExceededException(Number) - Constructor for exception org.apache.commons.math4.exception.MaxCountExceededException: Construct the exception.
MaxCountExceededException(Localizable, Number, Object...) - Constructor for exception org.apache.commons.math4.exception.MaxCountExceededException: Construct the exception with a specific context.
MAXIMAL - org.apache.commons.math4.stat.ranking.NaNStrategy: NaNs are considered maximal in the ordering
MAXIMUM - org.apache.commons.math4.stat.ranking.TiesStrategy: Ties get the maximum applicable rank
mean(double[]) - Static method in class org.apache.commons.math4.stat.StatUtils: Returns the arithmetic mean of the entries in the input array, or Double.NaN if the array is empty.
mean(double[], int, int) - Static method in class org.apache.commons.math4.stat.StatUtils: Returns the arithmetic mean of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
Mean - Class in org.apache.commons.math4.stat.descriptive.moment: Computes the arithmetic mean of a set of values.
Mean() - Constructor for class org.apache.commons.math4.stat.descriptive.moment.Mean: Constructs a Mean.
Mean(FirstMoment) - Constructor for class org.apache.commons.math4.stat.descriptive.moment.Mean: Constructs a Mean with an External Moment.
Mean(Mean) - Constructor for class org.apache.commons.math4.stat.descriptive.moment.Mean: Copy constructor, creates a new Mean identical to the original.
MEAN - org.apache.commons.math4.exception.util.LocalizedFormats
meanDifference(double[], double[]) - Static method in class org.apache.commons.math4.stat.StatUtils: Returns the mean of the (signed) differences between corresponding elements of the input arrays -- i.e., sum(sample1[i] - sample2[i]) / sample1.length.
Median - Class in org.apache.commons.math4.stat.descriptive.rank: Returns the median of the available values.
Median() - Constructor for class org.apache.commons.math4.stat.descriptive.rank.Median: Default constructor.
Median(Median) - Constructor for class org.apache.commons.math4.stat.descriptive.rank.Median: Copy constructor, creates a new Median identical to the original
MedianOf3PivotingStrategy - Class in org.apache.commons.math4.util: Classic median of 3 strategy given begin and end indices.
MedianOf3PivotingStrategy() - Constructor for class org.apache.commons.math4.util.MedianOf3PivotingStrategy
merge(Collection<Frequency<T>>) - Method in class org.apache.commons.math4.stat.Frequency: Merge a Collection of Frequency objects into this instance.
merge(Frequency<T>) - Method in class org.apache.commons.math4.stat.Frequency: Merge another Frequency object's counts into this instance.
MersenneTwister - Class in org.apache.commons.rng.core.source32: This class implements a powerful pseudo-random number generator developed by Makoto Matsumoto and Takuji Nishimura during 1996-1997.
MersenneTwister(int[]) - Constructor for class org.apache.commons.rng.core.source32.MersenneTwister: Creates a new random number generator.
MersenneTwister64 - Class in org.apache.commons.rng.core.source64: This class provides the 64-bits version of the originally 32-bits Mersenne Twister.
MersenneTwister64(long[]) - Constructor for class org.apache.commons.rng.core.source64.MersenneTwister64: Creates a new random number generator.
MicrosphereProjectionInterpolator - Class in org.apache.commons.math4.analysis.interpolation: Interpolator that implements the algorithm described in William Dudziak's MS thesis.
MicrosphereProjectionInterpolator(int, int, double, double, double, double, boolean, double) - Constructor for class org.apache.commons.math4.analysis.interpolation.MicrosphereProjectionInterpolator: Create a microsphere interpolator.
MicrosphereProjectionInterpolator(InterpolatingMicrosphere, double, boolean, double) - Constructor for class org.apache.commons.math4.analysis.interpolation.MicrosphereProjectionInterpolator: Create a microsphere interpolator.
midpoint(double, double) - Static method in class org.apache.commons.math4.analysis.solvers.UnivariateSolverUtils: Compute the midpoint of two values.
MIDPOINT_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math4.analysis.integration.MidPointIntegrator: Maximum number of iterations for midpoint.
MidPointIntegrator - Class in org.apache.commons.math4.analysis.integration: Implements the Midpoint Rule for integration of real univariate functions.
MidPointIntegrator() - Constructor for class org.apache.commons.math4.analysis.integration.MidPointIntegrator: Construct a midpoint integrator with default settings.
MidPointIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math4.analysis.integration.MidPointIntegrator: Build a midpoint integrator with given accuracies and iterations counts.
MidPointIntegrator(int, int) - Constructor for class org.apache.commons.math4.analysis.integration.MidPointIntegrator: Build a midpoint integrator with given iteration counts.
MillerUpdatingRegression - Class in org.apache.commons.math4.stat.regression: This class is a concrete implementation of the UpdatingMultipleLinearRegression interface.
MillerUpdatingRegression(int, boolean) - Constructor for class org.apache.commons.math4.stat.regression.MillerUpdatingRegression: Primary constructor for the MillerUpdatingRegression.
MillerUpdatingRegression(int, boolean, double) - Constructor for class org.apache.commons.math4.stat.regression.MillerUpdatingRegression: This is the augmented constructor for the MillerUpdatingRegression class.
min(double[]) - Static method in class org.apache.commons.math4.stat.StatUtils: Returns the minimum of the entries in the input array, or Double.NaN if the array is empty.
min(double[], int, int) - Static method in class org.apache.commons.math4.stat.StatUtils: Returns the minimum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
min(double, double) - Static method in class org.apache.commons.math4.util.FastMath: Compute the minimum of two values
min(float, float) - Static method in class org.apache.commons.math4.util.FastMath: Compute the minimum of two values
min(int, int) - Static method in class org.apache.commons.math4.util.FastMath: Compute the minimum of two values
min(long, long) - Static method in class org.apache.commons.math4.util.FastMath: Compute the minimum of two values
min(T, T) - Static method in class org.apache.commons.math4.util.MathUtils: Find the minimum of two field elements.
Min - Class in org.apache.commons.math4.analysis.function: Minimum function.
Min - Class in org.apache.commons.math4.stat.descriptive.rank: Returns the minimum of the available values.
Min() - Constructor for class org.apache.commons.math4.analysis.function.Min
Min() - Constructor for class org.apache.commons.math4.stat.descriptive.rank.Min: Create a Min instance.
Min(Min) - Constructor for class org.apache.commons.math4.stat.descriptive.rank.Min: Copy constructor, creates a new Min identical to the original.
MINIMAL - org.apache.commons.math4.stat.ranking.NaNStrategy: NaNs are considered minimal in the ordering
MINIMAL_STEPSIZE_REACHED_DURING_INTEGRATION - org.apache.commons.math4.exception.util.LocalizedFormats
MINIMUM - org.apache.commons.math4.stat.ranking.TiesStrategy: Ties get the minimum applicable rank
Minus - Class in org.apache.commons.math4.analysis.function: Minus function.
Minus() - Constructor for class org.apache.commons.math4.analysis.function.Minus
MINUS_ONE - Static variable in class org.apache.commons.math4.fraction.BigFraction: A fraction representing "-1 / 1".
MINUS_ONE - Static variable in class org.apache.commons.math4.fraction.Fraction: A fraction representing "-1 / 1".
MINUS_ONE - Static variable in class org.apache.commons.numbers.fraction.BigFraction: A fraction representing "-1 / 1".
MINUS_ONE - Static variable in class org.apache.commons.numbers.fraction.Fraction: A fraction representing "-1 / 1".
MISMATCHED_LOESS_ABSCISSA_ORDINATE_ARRAYS - org.apache.commons.math4.exception.util.LocalizedFormats
MixtureMultivariateNormalDistribution - Class in org.apache.commons.math4.distribution: Multivariate normal mixture distribution.
MixtureMultivariateNormalDistribution(double[], double[][], double[][][]) - Constructor for class org.apache.commons.math4.distribution.MixtureMultivariateNormalDistribution: Creates a multivariate normal mixture distribution.
MixtureMultivariateNormalDistribution(List<Pair<Double, MultivariateNormalDistribution>>) - Constructor for class org.apache.commons.math4.distribution.MixtureMultivariateNormalDistribution: Creates a mixture model from a list of distributions and their associated weights.
MixtureMultivariateRealDistribution<T extends MultivariateRealDistribution> - Class in org.apache.commons.math4.distribution: Class for representing mixture model distributions.
MixtureMultivariateRealDistribution(List<Pair<Double, T>>) - Constructor for class org.apache.commons.math4.distribution.MixtureMultivariateRealDistribution: Creates a mixture model from a list of distributions and their associated weights.
mode(double[]) - Static method in class org.apache.commons.math4.stat.StatUtils: Returns the sample mode(s).
mode(double[], int, int) - Static method in class org.apache.commons.math4.stat.StatUtils: Returns the sample mode(s).
ModelSpecificationException - Exception in org.apache.commons.math4.stat.regression: Exception thrown when a regression model is not correctly specified.
ModelSpecificationException(Localizable, Object...) - Constructor for exception org.apache.commons.math4.stat.regression.ModelSpecificationException
moment - Variable in class org.apache.commons.math4.stat.descriptive.moment.Kurtosis: Fourth Moment on which this statistic is based
moment - Variable in class org.apache.commons.math4.stat.descriptive.moment.Mean: First moment on which this statistic is based.
moment - Variable in class org.apache.commons.math4.stat.descriptive.moment.Skewness: Third moment on which this statistic is based
moment - Variable in class org.apache.commons.math4.stat.descriptive.moment.Variance: SecondMoment is used in incremental calculation of Variance
monteCarloP(double, int, int, boolean, int, UniformRandomProvider) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
monteCarloP(double, int, int, boolean, int, UniformRandomProvider) - Method in class org.apache.commons.math4.stat.inference.KolmogorovSmirnovTest: Uses Monte Carlo simulation to approximate \(P(D_{n,m} > d)\) where \(D_{n,m}\) is the 2-sample Kolmogorov-Smirnov statistic.
MT - org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is MersenneTwister.
MT - org.apache.commons.rng.simple.RandomSource: Source of randomness is MersenneTwister.
MT_64 - org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is MersenneTwister64.
MT_64 - org.apache.commons.rng.simple.RandomSource: Source of randomness is MersenneTwister64.
mulAndCheck(int, int) - Static method in class org.apache.commons.numbers.core.ArithmeticUtils: Multiply two integers, checking for overflow.
mulAndCheck(long, long) - Static method in class org.apache.commons.numbers.core.ArithmeticUtils: Multiply two long integers, checking for overflow.
MullerSolver - Class in org.apache.commons.math4.analysis.solvers: This class implements the Muller's Method for root finding of real univariate functions.
MullerSolver() - Constructor for class org.apache.commons.math4.analysis.solvers.MullerSolver: Construct a solver with default accuracy (1e-6).
MullerSolver(double) - Constructor for class org.apache.commons.math4.analysis.solvers.MullerSolver: Construct a solver.
MullerSolver(double, double) - Constructor for class org.apache.commons.math4.analysis.solvers.MullerSolver: Construct a solver.
MullerSolver2 - Class in org.apache.commons.math4.analysis.solvers: This class implements the Muller's Method for root finding of real univariate functions.
MullerSolver2() - Constructor for class org.apache.commons.math4.analysis.solvers.MullerSolver2: Construct a solver with default accuracy (1e-6).
MullerSolver2(double) - Constructor for class org.apache.commons.math4.analysis.solvers.MullerSolver2: Construct a solver.
MullerSolver2(double, double) - Constructor for class org.apache.commons.math4.analysis.solvers.MullerSolver2: Construct a solver.
MultidimensionalCounter - Class in org.apache.commons.math4.util: Converter between unidimensional storage structure and multidimensional conceptual structure.
MultidimensionalCounter(int...) - Constructor for class org.apache.commons.math4.util.MultidimensionalCounter: Create a counter.
MultidimensionalCounter.Iterator - Class in org.apache.commons.math4.util: Perform iteration over the multidimensional counter.
MultiDimensionMismatchException - Exception in org.apache.commons.math4.exception: Exception to be thrown when two sets of dimensions differ.
MultiDimensionMismatchException(Integer[], Integer[]) - Constructor for exception org.apache.commons.math4.exception.MultiDimensionMismatchException: Construct an exception from the mismatched dimensions.
MultiDimensionMismatchException(Localizable, Integer[], Integer[]) - Constructor for exception org.apache.commons.math4.exception.MultiDimensionMismatchException: Construct an exception from the mismatched dimensions.
MultipleLinearRegression - Interface in org.apache.commons.math4.stat.regression: The multiple linear regression can be represented in matrix-notation.
Multiplication<T> - Interface in org.apache.commons.numbers.core: Multiplication.
MULTIPLICATIVE - org.apache.commons.math4.util.ResizableDoubleArray.ExpansionMode: Multiplicative expansion mode.
multiply(double) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: '×' operator.
multiply(double) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: '×' operator.
multiply(double) - Method in interface org.apache.commons.math4.RealFieldElement: '×' operator.
multiply(double) - Method in class org.apache.commons.math4.util.Decimal64: '×' operator.
multiply(double) - Method in class org.apache.commons.numbers.complex.Complex: Returns a Complex whose value is this * factor, with factor interpreted as a real number.
multiply(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Perform multiplication of two derivative structures.
multiply(int) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Compute n × this.
multiply(int) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Compute n × this.
multiply(int) - Method in interface org.apache.commons.math4.FieldElement: Compute n × this.
multiply(int) - Method in class org.apache.commons.math4.fraction.BigFraction: Multiply the value of this fraction by the passed int, returning the result in reduced form.
multiply(int) - Method in class org.apache.commons.math4.fraction.Fraction: Multiply the fraction by an integer.
multiply(int) - Method in class org.apache.commons.math4.util.BigReal: Compute n × this.
multiply(int) - Method in class org.apache.commons.math4.util.Decimal64: Compute n × this.
multiply(int) - Method in class org.apache.commons.numbers.complex.Complex: Returns a Complex whose value is this * factor, with factor interpreted as a integer number.
multiply(int) - Method in interface org.apache.commons.numbers.core.NativeOperators: Repeated addition.
multiply(int) - Method in class org.apache.commons.numbers.fraction.BigFraction: Multiply the value of this fraction by the passed int, returning the result in reduced form.
multiply(int) - Method in class org.apache.commons.numbers.fraction.Fraction: Multiply the fraction by an integer.
multiply(long) - Method in class org.apache.commons.math4.fraction.BigFraction: Multiply the value of this fraction by the passed long, returning the result in reduced form.
multiply(long) - Method in class org.apache.commons.numbers.fraction.BigFraction: Multiply the value of this fraction by the passed long, returning the result in reduced form.
multiply(BigInteger) - Method in class org.apache.commons.math4.fraction.BigFraction: Multiplies the value of this fraction by the passed BigInteger, returning the result in reduced form.
multiply(BigInteger) - Method in class org.apache.commons.numbers.fraction.BigFraction: Multiplies the value of this fraction by the passed BigInteger, returning the result in reduced form.
multiply(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Compute this × a.
multiply(SparseGradient) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Compute this × a.
multiply(UnivariateDifferentiableFunction...) - Static method in class org.apache.commons.math4.analysis.FunctionUtils: Multiplies functions.
multiply(PolynomialFunction) - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunction: Multiply the instance by a polynomial.
multiply(UnivariateFunction...) - Static method in class org.apache.commons.math4.analysis.FunctionUtils: Multiplies functions.
multiply(BigFraction) - Method in class org.apache.commons.math4.fraction.BigFraction: Multiplies the value of this fraction by another, returning the result in reduced form.
multiply(Fraction) - Method in class org.apache.commons.math4.fraction.Fraction: Multiplies the value of this fraction by another, returning the result in reduced form.
multiply(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math4.linear.Array2DRowFieldMatrix: Postmultiplying this matrix by m.
multiply(Array2DRowRealMatrix) - Method in class org.apache.commons.math4.linear.Array2DRowRealMatrix: Returns the result of postmultiplying this by m.
multiply(BlockFieldMatrix<T>) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Returns the result of postmultiplying this by m.
multiply(BlockRealMatrix) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Returns the result of postmultiplying this by m.
multiply(DiagonalMatrix) - Method in class org.apache.commons.math4.linear.DiagonalMatrix: Returns the result of postmultiplying this by m.
multiply(FieldMatrix<T>) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Postmultiply this matrix by m.
multiply(FieldMatrix<T>) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Postmultiply this matrix by m.
multiply(FieldMatrix<T>) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Postmultiply this matrix by m.
multiply(OpenMapRealMatrix) - Method in class org.apache.commons.math4.linear.OpenMapRealMatrix: Postmultiply this matrix by m.
multiply(RealMatrix) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Returns the result of postmultiplying this by m.
multiply(RealMatrix) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Returns the result of postmultiplying this by m.
multiply(RealMatrix) - Method in class org.apache.commons.math4.linear.DiagonalMatrix: Returns the result of postmultiplying this by m.
multiply(RealMatrix) - Method in class org.apache.commons.math4.linear.OpenMapRealMatrix: Returns the result of postmultiplying this by m.
multiply(RealMatrix) - Method in interface org.apache.commons.math4.linear.RealMatrix: Returns the result of postmultiplying this by m.
multiply(BigReal) - Method in class org.apache.commons.math4.util.BigReal: Compute this × a.
multiply(Decimal64) - Method in class org.apache.commons.math4.util.Decimal64: Compute this × a.
multiply(Complex) - Method in class org.apache.commons.numbers.complex.Complex: Returns a Complex whose value is this * factor.
multiply(BigFraction) - Method in class org.apache.commons.numbers.fraction.BigFraction: Multiplies the value of this fraction by another, returning the result in reduced form.
multiply(Fraction) - Method in class org.apache.commons.numbers.fraction.Fraction: Multiplies the value of this fraction by another, returning the result in reduced form.
multiply(T) - Method in interface org.apache.commons.math4.FieldElement: Compute this × a.
multiply(T) - Method in interface org.apache.commons.numbers.core.Multiplication: Binary multiplication.
Multiply - Class in org.apache.commons.math4.analysis.function: Multiply the two operands.
Multiply() - Constructor for class org.apache.commons.math4.analysis.function.Multiply
multiplyEntry(int, int, double) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Multiplies (in place) the specified entry of this matrix by the specified value.
multiplyEntry(int, int, double) - Method in class org.apache.commons.math4.linear.Array2DRowRealMatrix: Multiplies (in place) the specified entry of this matrix by the specified value.
multiplyEntry(int, int, double) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Multiplies (in place) the specified entry of this matrix by the specified value.
multiplyEntry(int, int, double) - Method in class org.apache.commons.math4.linear.DiagonalMatrix: Multiplies (in place) the specified entry of this matrix by the specified value.
multiplyEntry(int, int, double) - Method in class org.apache.commons.math4.linear.OpenMapRealMatrix: Multiplies (in place) the specified entry of this matrix by the specified value.
multiplyEntry(int, int, double) - Method in interface org.apache.commons.math4.linear.RealMatrix: Multiplies (in place) the specified entry of this matrix by the specified value.
multiplyEntry(int, int, T) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Change an entry in the specified row and column.
multiplyEntry(int, int, T) - Method in class org.apache.commons.math4.linear.Array2DRowFieldMatrix: Change an entry in the specified row and column.
multiplyEntry(int, int, T) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Change an entry in the specified row and column.
multiplyEntry(int, int, T) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Change an entry in the specified row and column.
multiplyEntry(int, int, T) - Method in class org.apache.commons.math4.linear.SparseFieldMatrix: Change an entry in the specified row and column.
multiplyExact(int, int) - Static method in class org.apache.commons.math4.util.FastMath: Multiply two numbers, detecting overflows.
multiplyExact(long, long) - Static method in class org.apache.commons.math4.util.FastMath: Multiply two numbers, detecting overflows.
multiplyInPlace(SparseGradient) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Multiply in place.
MultiplyWithCarry256 - Class in org.apache.commons.rng.core.source32: Port from Marsaglia's "Multiply-With-Carry" algorithm.
MultiplyWithCarry256(int[]) - Constructor for class org.apache.commons.rng.core.source32.MultiplyWithCarry256: Creates a new instance.
MULTISTEP_STARTER_STOPPED_EARLY - org.apache.commons.math4.exception.util.LocalizedFormats
MultivariateDifferentiableFunction - Interface in org.apache.commons.math4.analysis.differentiation: Extension of MultivariateFunction representing a multivariate differentiable real function.
MultivariateDifferentiableVectorFunction - Interface in org.apache.commons.math4.analysis.differentiation: Extension of MultivariateVectorFunction representing a multivariate differentiable vectorial function.
MultivariateFunction - Interface in org.apache.commons.math4.analysis: An interface representing a multivariate real function.
MultivariateInterpolator - Interface in org.apache.commons.math4.analysis.interpolation: Interface representing a univariate real interpolating function.
MultivariateMatrixFunction - Interface in org.apache.commons.math4.analysis: An interface representing a multivariate matrix function.
MultivariateNormalDistribution - Class in org.apache.commons.math4.distribution: Implementation of the multivariate normal (Gaussian) distribution.
MultivariateNormalDistribution(double[], double[][]) - Constructor for class org.apache.commons.math4.distribution.MultivariateNormalDistribution: Creates a multivariate normal distribution with the given mean vector and covariance matrix.
MultivariateNormalMixtureExpectationMaximization - Class in org.apache.commons.math4.distribution.fitting: Expectation-Maximization algorithm for fitting the parameters of multivariate normal mixture model distributions.
MultivariateNormalMixtureExpectationMaximization(double[][]) - Constructor for class org.apache.commons.math4.distribution.fitting.MultivariateNormalMixtureExpectationMaximization: Creates an object to fit a multivariate normal mixture model to data.
MultivariateRealDistribution - Interface in org.apache.commons.math4.distribution: Base interface for multivariate distributions on the reals.
MultivariateRealDistribution.Sampler - Interface in org.apache.commons.math4.distribution: Sampling functionality.
MultivariateSummaryStatistics - Class in org.apache.commons.math4.stat.descriptive: Computes summary statistics for a stream of n-tuples added using the addValue method.
MultivariateSummaryStatistics(int, boolean) - Constructor for class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics: Construct a MultivariateSummaryStatistics instance
MultivariateVectorFunction - Interface in org.apache.commons.math4.analysis: An interface representing a multivariate vectorial function.
MUTATION_RATE - org.apache.commons.math4.exception.util.LocalizedFormats
MWC_256 - org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is MultiplyWithCarry256.
MWC_256 - org.apache.commons.rng.simple.RandomSource: Source of randomness is MultiplyWithCarry256.

N

N_POINTS_GAUSS_LEGENDRE_INTEGRATOR_NOT_SUPPORTED - org.apache.commons.math4.exception.util.LocalizedFormats
Nakagami - Class in io.virtdata.continuous.int_double
Nakagami - Class in io.virtdata.continuous.long_double
Nakagami(double, double, String...) - Constructor for class io.virtdata.continuous.int_double.Nakagami
Nakagami(double, double, String...) - Constructor for class io.virtdata.continuous.long_double.Nakagami
NakagamiAutoDocsInfo - Class in io.virtdata.continuous.int_double
NakagamiAutoDocsInfo - Class in io.virtdata.continuous.long_double
NakagamiAutoDocsInfo() - Constructor for class io.virtdata.continuous.int_double.NakagamiAutoDocsInfo
NakagamiAutoDocsInfo() - Constructor for class io.virtdata.continuous.long_double.NakagamiAutoDocsInfo
NakagamiDistribution - Class in org.apache.commons.statistics.distribution: This class implements the Nakagami distribution.
NakagamiDistribution(double, double) - Constructor for class org.apache.commons.statistics.distribution.NakagamiDistribution: Creates a distribution.
NAN - Static variable in class org.apache.commons.math4.util.Decimal64: The constant value of Double.NaN as a Decimal64.
NAN_ELEMENT_AT_INDEX - org.apache.commons.math4.exception.util.LocalizedFormats
NAN_NOT_ALLOWED - org.apache.commons.math4.exception.util.LocalizedFormats
NAN_VALUE_CONVERSION - org.apache.commons.math4.exception.util.LocalizedFormats
NaNStrategy - Enum in org.apache.commons.math4.stat.ranking: Strategies for handling NaN values in rank transformations.
NativeOperators<T> - Interface in org.apache.commons.numbers.core: Operators that can be implemented in a more performant way using the language constructs.
natural(int) - Static method in class org.apache.commons.math4.util.MathArrays: Returns an array representing the natural number n.
natural(int) - Static method in class org.apache.commons.rng.sampling.PermutationSampler: Creates an array representing the natural number n.
NaturalRanking - Class in org.apache.commons.math4.stat.ranking: Ranking based on the natural ordering on doubles.
NaturalRanking() - Constructor for class org.apache.commons.math4.stat.ranking.NaturalRanking: Create a NaturalRanking with default strategies for handling ties and NaNs.
NaturalRanking(NaNStrategy) - Constructor for class org.apache.commons.math4.stat.ranking.NaturalRanking: Create a NaturalRanking with the given NaNStrategy.
NaturalRanking(NaNStrategy, TiesStrategy) - Constructor for class org.apache.commons.math4.stat.ranking.NaturalRanking: Create a NaturalRanking with the given NaNStrategy and TiesStrategy.
NaturalRanking(NaNStrategy, UniformRandomProvider) - Constructor for class org.apache.commons.math4.stat.ranking.NaturalRanking: Create a NaturalRanking with the given NaNStrategy, TiesStrategy.RANDOM and the given source of random data.
NaturalRanking(TiesStrategy) - Constructor for class org.apache.commons.math4.stat.ranking.NaturalRanking: Create a NaturalRanking with the given TiesStrategy.
NaturalRanking(UniformRandomProvider) - Constructor for class org.apache.commons.math4.stat.ranking.NaturalRanking: Create a NaturalRanking with TiesStrategy.RANDOM and the given random generator as the source of random data.
negate() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Returns the additive inverse of this element.
negate() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Returns the additive inverse of this element.
negate() - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunction: Negate the instance.
negate() - Method in interface org.apache.commons.math4.FieldElement: Returns the additive inverse of this element.
negate() - Method in class org.apache.commons.math4.fraction.BigFraction: Return the additive inverse of this fraction, returning the result in reduced form.
negate() - Method in class org.apache.commons.math4.fraction.Fraction: Return the additive inverse of this fraction.
negate() - Method in class org.apache.commons.math4.util.BigReal: Returns the additive inverse of this element.
negate() - Method in class org.apache.commons.math4.util.Decimal64: Returns the additive inverse of this element.
negate() - Method in class org.apache.commons.numbers.complex.Complex: Returns a Complex whose value is (-this).
negate() - Method in interface org.apache.commons.numbers.core.Addition: Additive inverse.
negate() - Method in class org.apache.commons.numbers.fraction.BigFraction: Return the additive inverse of this fraction, returning the result in reduced form.
negate() - Method in class org.apache.commons.numbers.fraction.Fraction: Return the additive inverse of this fraction.
NEGATIVE_BRIGHTNESS_EXPONENT - org.apache.commons.math4.exception.util.LocalizedFormats
NEGATIVE_COMPLEX_MODULE - org.apache.commons.math4.exception.util.LocalizedFormats
NEGATIVE_ELEMENT_AT_2D_INDEX - org.apache.commons.math4.exception.util.LocalizedFormats
NEGATIVE_ELEMENT_AT_INDEX - org.apache.commons.math4.exception.util.LocalizedFormats
NEGATIVE_INFINITY - Static variable in class org.apache.commons.math4.util.Decimal64: The constant value of Double.NEGATIVE_INFINITY as a Decimal64.
NEGATIVE_NUMBER_OF_SUCCESSES - org.apache.commons.math4.exception.util.LocalizedFormats
NEGATIVE_NUMBER_OF_TRIALS - org.apache.commons.math4.exception.util.LocalizedFormats
NevilleInterpolator - Class in org.apache.commons.math4.analysis.interpolation: Implements the Neville's Algorithm for interpolation of real univariate functions.
NevilleInterpolator() - Constructor for class org.apache.commons.math4.analysis.interpolation.NevilleInterpolator
newCovarianceData(double[][]) - Method in class org.apache.commons.math4.stat.regression.GLSMultipleLinearRegression: Add the covariance data.
newMarkers(List<Double>, double) - Static method in class org.apache.commons.math4.stat.descriptive.rank.PSquarePercentile: A creation method to build Markers
newSampleData(double[], double[][]) - Method in class org.apache.commons.math4.stat.regression.OLSMultipleLinearRegression: Loads model x and y sample data, overriding any previous sample.
newSampleData(double[], double[][], double[][]) - Method in class org.apache.commons.math4.stat.regression.GLSMultipleLinearRegression: Replace sample data, overriding any previous sample.
newSampleData(double[], int, int) - Method in class org.apache.commons.math4.stat.regression.AbstractMultipleLinearRegression: Loads model x and y sample data from a flat input array, overriding any previous sample.
newSampleData(double[], int, int) - Method in class org.apache.commons.math4.stat.regression.OLSMultipleLinearRegression: Loads model x and y sample data from a flat input array, overriding any previous sample.
NewtonRaphsonSolver - Class in org.apache.commons.math4.analysis.solvers: Implements Newton's Method for finding zeros of real univariate differentiable functions.
NewtonRaphsonSolver() - Constructor for class org.apache.commons.math4.analysis.solvers.NewtonRaphsonSolver: Construct a solver.
NewtonRaphsonSolver(double) - Constructor for class org.apache.commons.math4.analysis.solvers.NewtonRaphsonSolver: Construct a solver.
newXSampleData(double[][]) - Method in class org.apache.commons.math4.stat.regression.AbstractMultipleLinearRegression: Loads new x sample data, overriding any previous data.
newXSampleData(double[][]) - Method in class org.apache.commons.math4.stat.regression.OLSMultipleLinearRegression: Loads new x sample data, overriding any previous data.
newYSampleData(double[]) - Method in class org.apache.commons.math4.stat.regression.AbstractMultipleLinearRegression: Loads new y sample data, overriding any previous data.
next() - Method in class org.apache.commons.math4.linear.OpenMapRealVector.OpenMapSparseIterator
next() - Method in class org.apache.commons.math4.linear.RealVector.SparseEntryIterator
next() - Method in class org.apache.commons.math4.util.IntegerSequence.Incrementor
next() - Method in class org.apache.commons.math4.util.MultidimensionalCounter.Iterator
next() - Method in class org.apache.commons.rng.core.source32.ISAACRandom
next() - Method in class org.apache.commons.rng.core.source32.JDKRandom
next() - Method in class org.apache.commons.rng.core.source32.KISSRandom
next() - Method in class org.apache.commons.rng.core.source32.MersenneTwister
next() - Method in class org.apache.commons.rng.core.source32.MultiplyWithCarry256
next() - Method in interface org.apache.commons.rng.core.source32.RandomIntSource
next() - Method in class org.apache.commons.rng.core.source32.Well1024a
next() - Method in class org.apache.commons.rng.core.source32.Well19937a
next() - Method in class org.apache.commons.rng.core.source32.Well19937c
next() - Method in class org.apache.commons.rng.core.source32.Well44497a
next() - Method in class org.apache.commons.rng.core.source32.Well44497b
next() - Method in class org.apache.commons.rng.core.source32.Well512a
next() - Method in class org.apache.commons.rng.core.source32.XoRoShiRo64Star
next() - Method in class org.apache.commons.rng.core.source32.XoRoShiRo64StarStar
next() - Method in class org.apache.commons.rng.core.source32.XoShiRo128Plus
next() - Method in class org.apache.commons.rng.core.source32.XoShiRo128StarStar
next() - Method in class org.apache.commons.rng.core.source64.MersenneTwister64
next() - Method in interface org.apache.commons.rng.core.source64.RandomLongSource
next() - Method in class org.apache.commons.rng.core.source64.SplitMix64
next() - Method in class org.apache.commons.rng.core.source64.TwoCmres
next() - Method in class org.apache.commons.rng.core.source64.XoRoShiRo128Plus
next() - Method in class org.apache.commons.rng.core.source64.XoRoShiRo128StarStar
next() - Method in class org.apache.commons.rng.core.source64.XorShift1024Star
next() - Method in class org.apache.commons.rng.core.source64.XoShiRo256Plus
next() - Method in class org.apache.commons.rng.core.source64.XoShiRo256StarStar
next() - Method in class org.apache.commons.rng.core.source64.XoShiRo512Plus
next() - Method in class org.apache.commons.rng.core.source64.XoShiRo512StarStar
next(int) - Method in class org.apache.commons.rng.simple.JDKRandomBridge: Delegates the generation of 32 random bits to the RandomSource argument provided at construction.
nextAfter(double, double) - Static method in class org.apache.commons.math4.util.FastMath: Get the next machine representable number after a number, moving in the direction of another number.
nextAfter(float, double) - Static method in class org.apache.commons.math4.util.FastMath: Get the next machine representable number after a number, moving in the direction of another number.
nextBoolean() - Method in interface org.apache.commons.math4.random.RandomGenerator: Deprecated.

Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence.
nextBoolean() - Method in class org.apache.commons.math4.random.RngAdaptor: Deprecated.

Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence.
nextBoolean() - Method in class org.apache.commons.math4.random.SynchronizedRandomGenerator: Deprecated.

Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence.
nextBoolean() - Method in class org.apache.commons.rng.core.source32.IntProvider: Generates a boolean value.
nextBoolean() - Method in class org.apache.commons.rng.core.source64.LongProvider: Generates a boolean value.
nextBoolean() - Method in interface org.apache.commons.rng.UniformRandomProvider: Generates a boolean value.
nextBytes(byte[]) - Method in interface org.apache.commons.math4.random.RandomGenerator: Deprecated.

Generates random bytes and places them into a user-supplied byte array.
nextBytes(byte[]) - Method in class org.apache.commons.math4.random.RngAdaptor: Deprecated.

Generates random bytes and places them into a user-supplied byte array.
nextBytes(byte[]) - Method in class org.apache.commons.math4.random.SynchronizedRandomGenerator: Deprecated.

Generates random bytes and places them into a user-supplied byte array.
nextBytes(byte[]) - Method in class org.apache.commons.rng.core.source32.IntProvider: Generates byte values and places them into a user-supplied array.
nextBytes(byte[]) - Method in class org.apache.commons.rng.core.source64.LongProvider: Generates byte values and places them into a user-supplied array.
nextBytes(byte[]) - Method in interface org.apache.commons.rng.UniformRandomProvider: Generates byte values and places them into a user-supplied array.
nextBytes(byte[], int, int) - Method in class org.apache.commons.rng.core.source32.IntProvider: Generates byte values and places them into a user-supplied array.
nextBytes(byte[], int, int) - Method in class org.apache.commons.rng.core.source64.LongProvider: Generates byte values and places them into a user-supplied array.
nextBytes(byte[], int, int) - Method in interface org.apache.commons.rng.UniformRandomProvider: Generates byte values and places them into a user-supplied array.
nextDouble() - Method in interface org.apache.commons.math4.random.RandomGenerator: Deprecated.

Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence.
nextDouble() - Method in class org.apache.commons.math4.random.RngAdaptor: Deprecated.

Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence.
nextDouble() - Method in class org.apache.commons.math4.random.SynchronizedRandomGenerator: Deprecated.

Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence.
nextDouble() - Method in class org.apache.commons.rng.core.source32.IntProvider: Generates a double value between 0 and 1.
nextDouble() - Method in class org.apache.commons.rng.core.source64.LongProvider: Generates a double value between 0 and 1.
nextDouble() - Method in class org.apache.commons.rng.sampling.distribution.SamplerBase: Deprecated.
nextDouble() - Method in interface org.apache.commons.rng.UniformRandomProvider: Generates a double value between 0 and 1.
nextDown(double) - Static method in class org.apache.commons.math4.util.FastMath: Compute next number towards negative infinity.
nextDown(float) - Static method in class org.apache.commons.math4.util.FastMath: Compute next number towards negative infinity.
nextFloat() - Method in interface org.apache.commons.math4.random.RandomGenerator: Deprecated.

Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence.
nextFloat() - Method in class org.apache.commons.math4.random.RngAdaptor: Deprecated.

Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence.
nextFloat() - Method in class org.apache.commons.math4.random.SynchronizedRandomGenerator: Deprecated.

Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence.
nextFloat() - Method in class org.apache.commons.rng.core.source32.IntProvider: Generates a float value between 0 and 1.
nextFloat() - Method in class org.apache.commons.rng.core.source64.LongProvider: Generates a float value between 0 and 1.
nextFloat() - Method in interface org.apache.commons.rng.UniformRandomProvider: Generates a float value between 0 and 1.
nextGaussian() - Method in interface org.apache.commons.math4.random.RandomGenerator: Deprecated.

Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.
nextGaussian() - Method in class org.apache.commons.math4.random.RngAdaptor: Deprecated.

Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.
nextGaussian() - Method in class org.apache.commons.math4.random.SynchronizedRandomGenerator: Deprecated.

Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.
nextHexString(int, boolean) - Method in class org.apache.commons.math4.random.RandomUtils.DataGenerator: Generates a random string of hex characters of length len.
nextInt() - Method in interface org.apache.commons.math4.random.RandomGenerator: Deprecated.

Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence.
nextInt() - Method in class org.apache.commons.math4.random.RngAdaptor: Deprecated.

Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence.
nextInt() - Method in class org.apache.commons.math4.random.SynchronizedRandomGenerator: Deprecated.

Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence.
nextInt() - Method in class org.apache.commons.rng.core.source32.IntProvider: Generates an int value.
nextInt() - Method in class org.apache.commons.rng.core.source64.LongProvider: Generates an int value.
nextInt() - Method in class org.apache.commons.rng.sampling.distribution.SamplerBase: Deprecated.
nextInt() - Method in interface org.apache.commons.rng.UniformRandomProvider: Generates an int value.
nextInt(int) - Method in interface org.apache.commons.math4.random.RandomGenerator: Deprecated.

Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
nextInt(int) - Method in class org.apache.commons.math4.random.RngAdaptor: Deprecated.

Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
nextInt(int) - Method in class org.apache.commons.math4.random.SynchronizedRandomGenerator: Deprecated.

Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
nextInt(int) - Method in class org.apache.commons.rng.core.BaseProvider: Generates an int value between 0 (inclusive) and the specified value (exclusive).
nextInt(int) - Method in class org.apache.commons.rng.sampling.distribution.SamplerBase: Deprecated.
nextInt(int) - Method in interface org.apache.commons.rng.UniformRandomProvider: Generates an int value between 0 (inclusive) and the specified value (exclusive).
nextLong() - Method in interface org.apache.commons.math4.random.RandomGenerator: Deprecated.

Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence.
nextLong() - Method in class org.apache.commons.math4.random.RngAdaptor: Deprecated.

Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence.
nextLong() - Method in class org.apache.commons.math4.random.SynchronizedRandomGenerator: Deprecated.

Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence.
nextLong() - Method in class org.apache.commons.rng.core.source32.IntProvider: Generates a long value.
nextLong() - Method in class org.apache.commons.rng.core.source64.LongProvider: Generates a long value.
nextLong() - Method in class org.apache.commons.rng.sampling.distribution.SamplerBase: Deprecated.
nextLong() - Method in interface org.apache.commons.rng.UniformRandomProvider: Generates a long value.
nextLong(long) - Method in class org.apache.commons.rng.core.BaseProvider: Generates a long value between 0 (inclusive) and the specified value (exclusive).
nextLong(long) - Method in interface org.apache.commons.rng.UniformRandomProvider: Generates a long value between 0 (inclusive) and the specified value (exclusive).
nextLong(long, long) - Method in class org.apache.commons.math4.random.RandomUtils.DataGenerator: Generates a uniformly distributed random long integer between lower and upper (endpoints included).
nextNormalizedDouble() - Method in class org.apache.commons.math4.random.GaussianRandomGenerator: Generates a random scalar with zero mean and unit standard deviation.
nextNormalizedDouble() - Method in interface org.apache.commons.math4.random.NormalizedRandomGenerator: Generate a random scalar with null mean and unit standard deviation.
nextNormalizedDouble() - Method in class org.apache.commons.math4.random.StableRandomGenerator: Generate a random scalar with zero location and unit scale.
nextNormalizedDouble() - Method in class org.apache.commons.math4.random.UniformRandomGenerator: Generates a random scalar with zero mean and unit standard deviation.
nextUniform(double, double) - Method in class org.apache.commons.math4.random.RandomUtils.DataGenerator: Generates a uniformly distributed random value from the open interval (lower, upper) (i.e., endpoints excluded).
nextUniform(double, double, boolean) - Method in class org.apache.commons.math4.random.RandomUtils.DataGenerator: Generates a uniformly distributed random value from the interval (lower, upper) or the interval [lower, upper).
nextUp(double) - Static method in class org.apache.commons.math4.util.FastMath: Compute next number towards positive infinity.
nextUp(float) - Static method in class org.apache.commons.math4.util.FastMath: Compute next number towards positive infinity.
nextVector() - Method in class org.apache.commons.math4.random.CorrelatedRandomVectorGenerator: Generate a correlated random vector.
nextVector() - Method in class org.apache.commons.math4.random.HaltonSequenceGenerator: Generate a random vector.
nextVector() - Method in interface org.apache.commons.math4.random.RandomVectorGenerator: Generate a random vector.
nextVector() - Method in class org.apache.commons.math4.random.SobolSequenceGenerator: Generate a random vector.
nextVector() - Method in class org.apache.commons.math4.random.UncorrelatedRandomVectorGenerator: Generate an uncorrelated random vector.
nextVector() - Method in class org.apache.commons.rng.sampling.UnitSphereSampler
NO_BIN_SELECTED - org.apache.commons.math4.exception.util.LocalizedFormats
NO_CONVERGENCE_WITH_ANY_START_POINT - org.apache.commons.math4.exception.util.LocalizedFormats
NO_DATA - org.apache.commons.math4.exception.util.LocalizedFormats
NO_DEGREES_OF_FREEDOM - org.apache.commons.math4.exception.util.LocalizedFormats
NO_DENSITY_FOR_THIS_DISTRIBUTION - org.apache.commons.math4.exception.util.LocalizedFormats
NO_FEASIBLE_SOLUTION - org.apache.commons.math4.exception.util.LocalizedFormats
NO_OPTIMUM_COMPUTED_YET - org.apache.commons.math4.exception.util.LocalizedFormats
NO_REGRESSORS - org.apache.commons.math4.exception.util.LocalizedFormats
NO_RESULT_AVAILABLE - org.apache.commons.math4.exception.util.LocalizedFormats
NO_SUCH_MATRIX_ENTRY - org.apache.commons.math4.exception.util.LocalizedFormats
NoBracketingException - Exception in org.apache.commons.math4.exception: Exception to be thrown when function values have the same sign at both ends of an interval.
NoBracketingException(double, double, double, double) - Constructor for exception org.apache.commons.math4.exception.NoBracketingException: Construct the exception.
NoBracketingException(Localizable, double, double, double, double, Object...) - Constructor for exception org.apache.commons.math4.exception.NoBracketingException: Construct the exception with a specific context.
NOCLAMP - Static variable in class io.virtdata.continuous.int_double.IntToDoubleContinuousCurve
NOCLAMP - Static variable in class io.virtdata.continuous.long_double.LongToDoubleContinuousCurve
NoDataException - Exception in org.apache.commons.math4.exception: Exception to be thrown when the required data is missing.
NoDataException() - Constructor for exception org.apache.commons.math4.exception.NoDataException: Construct the exception.
NoDataException(Localizable) - Constructor for exception org.apache.commons.math4.exception.NoDataException: Construct the exception with a specific context.
NON_CONVERGENT_CONTINUED_FRACTION - org.apache.commons.math4.exception.util.LocalizedFormats
NON_INVERTIBLE_TRANSFORM - org.apache.commons.math4.exception.util.LocalizedFormats
NON_POSITIVE_DEFINITE_MATRIX - org.apache.commons.math4.exception.util.LocalizedFormats
NON_POSITIVE_DEFINITE_OPERATOR - org.apache.commons.math4.exception.util.LocalizedFormats
NON_POSITIVE_MICROSPHERE_ELEMENTS - org.apache.commons.math4.exception.util.LocalizedFormats
NON_POSITIVE_POLYNOMIAL_DEGREE - org.apache.commons.math4.exception.util.LocalizedFormats
NON_REAL_FINITE_ABSCISSA - org.apache.commons.math4.exception.util.LocalizedFormats
NON_REAL_FINITE_ORDINATE - org.apache.commons.math4.exception.util.LocalizedFormats
NON_REAL_FINITE_WEIGHT - org.apache.commons.math4.exception.util.LocalizedFormats
NON_SELF_ADJOINT_OPERATOR - org.apache.commons.math4.exception.util.LocalizedFormats
NON_SQUARE_MATRIX - org.apache.commons.math4.exception.util.LocalizedFormats
NON_SQUARE_OPERATOR - org.apache.commons.math4.exception.util.LocalizedFormats
NON_SYMMETRIC_MATRIX - org.apache.commons.math4.exception.util.LocalizedFormats
NonMonotonicSequenceException - Exception in org.apache.commons.math4.exception: Exception to be thrown when the a sequence of values is not monotonically increasing or decreasing.
NonMonotonicSequenceException(Number, Number, int) - Constructor for exception org.apache.commons.math4.exception.NonMonotonicSequenceException: Construct the exception.
NonMonotonicSequenceException(Number, Number, int, MathArrays.OrderDirection, boolean) - Constructor for exception org.apache.commons.math4.exception.NonMonotonicSequenceException: Construct the exception.
NonPositiveDefiniteMatrixException - Exception in org.apache.commons.math4.linear: Exception to be thrown when a positive definite matrix is expected.
NonPositiveDefiniteMatrixException(double, int, double) - Constructor for exception org.apache.commons.math4.linear.NonPositiveDefiniteMatrixException: Construct an exception.
NonPositiveDefiniteOperatorException - Exception in org.apache.commons.math4.linear: Exception to be thrown when a symmetric, definite positive RealLinearOperator is expected.
NonPositiveDefiniteOperatorException() - Constructor for exception org.apache.commons.math4.linear.NonPositiveDefiniteOperatorException: Creates a new instance of this class.
NonSelfAdjointOperatorException - Exception in org.apache.commons.math4.linear: Exception to be thrown when a self-adjoint RealLinearOperator is expected.
NonSelfAdjointOperatorException() - Constructor for exception org.apache.commons.math4.linear.NonSelfAdjointOperatorException: Creates a new instance of this class.
NonSquareMatrixException - Exception in org.apache.commons.math4.linear: Exception to be thrown when a square matrix is expected.
NonSquareMatrixException(int, int) - Constructor for exception org.apache.commons.math4.linear.NonSquareMatrixException: Construct an exception from the mismatched dimensions.
NonSquareOperatorException - Exception in org.apache.commons.math4.linear: Exception to be thrown when a square linear operator is expected.
NonSquareOperatorException(int, int) - Constructor for exception org.apache.commons.math4.linear.NonSquareOperatorException: Construct an exception from the mismatched dimensions.
NonSymmetricMatrixException - Exception in org.apache.commons.math4.linear: Exception to be thrown when a symmetric matrix is expected.
NonSymmetricMatrixException(int, int, double) - Constructor for exception org.apache.commons.math4.linear.NonSymmetricMatrixException: Construct an exception.
NoOpConverter<SEED> - Class in org.apache.commons.rng.simple.internal: Dummy converter that simply passes on its input.
NoOpConverter() - Constructor for class org.apache.commons.rng.simple.internal.NoOpConverter
NORM - org.apache.commons.math4.exception.util.LocalizedFormats
Normal - Class in io.virtdata.continuous.int_double
Normal - Class in io.virtdata.continuous.long_double
Normal(double, double, String...) - Constructor for class io.virtdata.continuous.int_double.Normal
Normal(double, double, String...) - Constructor for class io.virtdata.continuous.long_double.Normal
normalApproximateProbability(int) - Method in class org.apache.commons.statistics.distribution.PoissonDistribution: Calculates the Poisson distribution function using a normal approximation.
NormalApproximationInterval - Class in org.apache.commons.math4.stat.interval: Implements the normal approximation method for creating a binomial proportion confidence interval.
NormalApproximationInterval() - Constructor for class org.apache.commons.math4.stat.interval.NormalApproximationInterval
NormalAutoDocsInfo - Class in io.virtdata.continuous.int_double
NormalAutoDocsInfo - Class in io.virtdata.continuous.long_double
NormalAutoDocsInfo() - Constructor for class io.virtdata.continuous.int_double.NormalAutoDocsInfo
NormalAutoDocsInfo() - Constructor for class io.virtdata.continuous.long_double.NormalAutoDocsInfo
NormalDistribution - Class in org.apache.commons.statistics.distribution: Implementation of the normal (Gaussian) distribution.
NormalDistribution(double, double) - Constructor for class org.apache.commons.statistics.distribution.NormalDistribution: Creates a distribution.
normalize(double[]) - Static method in class org.apache.commons.math4.stat.StatUtils: Normalize (standardize) the sample, so it is has a mean of 0 and a standard deviation of 1.
NORMALIZE_INFINITE - org.apache.commons.math4.exception.util.LocalizedFormats
NORMALIZE_NAN - org.apache.commons.math4.exception.util.LocalizedFormats
normalizeArray(double[], double) - Static method in class org.apache.commons.math4.util.MathArrays: Normalizes an array to make it sum to a specified value.
NormalizedGaussianSampler - Interface in org.apache.commons.rng.sampling.distribution: Marker interface for a sampler that generates values from an N(0,1) Gaussian distribution.
NormalizedRandomGenerator - Interface in org.apache.commons.math4.random: This interface represent a normalized random generator for scalars.
NOT_ADDITION_COMPATIBLE_MATRICES - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_CONVEX - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_CONVEX_HYPERPLANES - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_DECREASING_NUMBER_OF_POINTS - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_DECREASING_SEQUENCE - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_ENOUGH_DATA_FOR_NUMBER_OF_PREDICTORS - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_ENOUGH_DATA_REGRESSION - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_ENOUGH_POINTS_IN_SPLINE_PARTITION - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_FINITE_NUMBER - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_INCREASING_NUMBER_OF_POINTS - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_INCREASING_SEQUENCE - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_MULTIPLICATION_COMPATIBLE_MATRICES - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_POSITIVE_DEFINITE_MATRIX - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_POSITIVE_DEGREES_OF_FREEDOM - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_POSITIVE_ELEMENT_AT_INDEX - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_POSITIVE_EXPONENT - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_POSITIVE_LENGTH - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_POSITIVE_MEAN - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_POSITIVE_NUMBER_OF_SAMPLES - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_POSITIVE_PERMUTATION - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_POSITIVE_POISSON_MEAN - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_POSITIVE_POPULATION_SIZE - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_POSITIVE_ROW_DIMENSION - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_POSITIVE_SAMPLE_SIZE - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_POSITIVE_SCALE - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_POSITIVE_SHAPE - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_POSITIVE_STANDARD_DEVIATION - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_POSITIVE_UPPER_BOUND - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_POSITIVE_WINDOW_SIZE - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_POWER_OF_TWO - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_POWER_OF_TWO_CONSIDER_PADDING - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_POWER_OF_TWO_PLUS_ONE - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_STRICTLY_DECREASING_NUMBER_OF_POINTS - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_STRICTLY_DECREASING_SEQUENCE - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_STRICTLY_INCREASING_KNOT_VALUES - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_STRICTLY_INCREASING_NUMBER_OF_POINTS - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_STRICTLY_INCREASING_SEQUENCE - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_SUBTRACTION_COMPATIBLE_MATRICES - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_SUPPORTED_IN_DIMENSION_N - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_SUPPORTED_NAN_STRATEGY - org.apache.commons.math4.exception.util.LocalizedFormats
NOT_SYMMETRIC_MATRIX - org.apache.commons.math4.exception.util.LocalizedFormats
NotANumberException - Exception in org.apache.commons.math4.exception: Exception to be thrown when a number is not a number.
NotANumberException() - Constructor for exception org.apache.commons.math4.exception.NotANumberException: Construct the exception.
NotFiniteNumberException - Exception in org.apache.commons.math4.exception: Exception to be thrown when a number is not finite.
NotFiniteNumberException(Number, Object...) - Constructor for exception org.apache.commons.math4.exception.NotFiniteNumberException: Construct the exception.
NotFiniteNumberException(Localizable, Number, Object...) - Constructor for exception org.apache.commons.math4.exception.NotFiniteNumberException: Construct the exception with a specific context.
NotPositiveException - Exception in org.apache.commons.math4.exception: Exception to be thrown when the argument is negative.
NotPositiveException(Number) - Constructor for exception org.apache.commons.math4.exception.NotPositiveException: Construct the exception.
NotPositiveException(Localizable, Number) - Constructor for exception org.apache.commons.math4.exception.NotPositiveException: Construct the exception with a specific context.
NotStrictlyPositiveException - Exception in org.apache.commons.math4.exception: Exception to be thrown when the argument is not greater than 0.
NotStrictlyPositiveException(Number) - Constructor for exception org.apache.commons.math4.exception.NotStrictlyPositiveException: Construct the exception.
NotStrictlyPositiveException(Localizable, Number) - Constructor for exception org.apache.commons.math4.exception.NotStrictlyPositiveException: Construct the exception with a specific context.
nthRoot(int) - Method in class org.apache.commons.numbers.complex.Complex: Computes the n-th roots of this complex number.
NULL_NOT_ALLOWED - org.apache.commons.math4.exception.util.LocalizedFormats
NullArgumentException - Exception in org.apache.commons.math4.exception: All conditions checks that fail due to a null argument must throw this exception.
NullArgumentException() - Constructor for exception org.apache.commons.math4.exception.NullArgumentException: Default constructor.
NullArgumentException(Localizable, Object...) - Constructor for exception org.apache.commons.math4.exception.NullArgumentException
NUMBER_OF_ELEMENTS_SHOULD_BE_POSITIVE - org.apache.commons.math4.exception.util.LocalizedFormats
NUMBER_OF_INTERPOLATION_POINTS - org.apache.commons.math4.exception.util.LocalizedFormats
NUMBER_OF_POINTS - org.apache.commons.math4.exception.util.LocalizedFormats
NUMBER_OF_SAMPLES - org.apache.commons.math4.exception.util.LocalizedFormats
NUMBER_OF_SUCCESS_LARGER_THAN_POPULATION_SIZE - org.apache.commons.math4.exception.util.LocalizedFormats
NUMBER_OF_SUCCESSES - org.apache.commons.math4.exception.util.LocalizedFormats
NUMBER_OF_TRIALS - org.apache.commons.math4.exception.util.LocalizedFormats
NUMBER_TOO_LARGE - org.apache.commons.math4.exception.util.LocalizedFormats
NUMBER_TOO_LARGE_BOUND_EXCLUDED - org.apache.commons.math4.exception.util.LocalizedFormats
NUMBER_TOO_SMALL - org.apache.commons.math4.exception.util.LocalizedFormats
NUMBER_TOO_SMALL_BOUND_EXCLUDED - org.apache.commons.math4.exception.util.LocalizedFormats
NumberFactory - Class in org.apache.commons.rng.core.util: Utility for creating number types from one or two int values or one long value, or a sequence of bytes.
NumberIsTooLargeException - Exception in org.apache.commons.math4.exception: Exception to be thrown when a number is too large.
NumberIsTooLargeException(Number, Number, boolean) - Constructor for exception org.apache.commons.math4.exception.NumberIsTooLargeException: Construct the exception.
NumberIsTooLargeException(Localizable, Number, Number, boolean) - Constructor for exception org.apache.commons.math4.exception.NumberIsTooLargeException: Construct the exception with a specific context.
NumberIsTooSmallException - Exception in org.apache.commons.math4.exception: Exception to be thrown when a number is too small.
NumberIsTooSmallException(Number, Number, boolean) - Constructor for exception org.apache.commons.math4.exception.NumberIsTooSmallException: Construct the exception.
NumberIsTooSmallException(Localizable, Number, Number, boolean) - Constructor for exception org.apache.commons.math4.exception.NumberIsTooSmallException: Construct the exception with a specific context.
numberOfSubcycleGenerators() - Static method in class org.apache.commons.rng.core.source64.TwoCmres
NumberTransformer - Interface in org.apache.commons.math4.util: Subclasses implementing this interface can transform Objects to doubles.
NUMERATOR - org.apache.commons.math4.exception.util.LocalizedFormats
NUMERATOR_FORMAT - org.apache.commons.math4.exception.util.LocalizedFormats
NUMERATOR_OVERFLOW_AFTER_MULTIPLY - org.apache.commons.math4.exception.util.LocalizedFormats
numVars() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Find the number of variables.

O

OBJECT_TRANSFORMATION - org.apache.commons.math4.exception.util.LocalizedFormats
OBSERVED_COUNTS_ALL_ZERO - org.apache.commons.math4.exception.util.LocalizedFormats
OBSERVED_COUNTS_BOTTH_ZERO_FOR_ENTRY - org.apache.commons.math4.exception.util.LocalizedFormats
OCTAVE_FORMAT - Static variable in class org.apache.commons.math4.linear.MatrixUtils: A format for RealMatrix objects compatible with octave.
ofCartesian(double, double) - Static method in class org.apache.commons.numbers.complex.Complex: Create a complex number given the real and imaginary parts.
ofCis(double) - Static method in class org.apache.commons.numbers.complex.Complex: For a real constructor argument x, returns a new Complex object c where c = cos(x) + i sin (x)
ofPolar(double, double) - Static method in class org.apache.commons.numbers.complex.Complex: Creates a Complex from its polar representation.
ofReal(double) - Static method in class org.apache.commons.numbers.complex.Complex: Create a complex number given the real part.
OLSMultipleLinearRegression - Class in org.apache.commons.math4.stat.regression: Implements ordinary least squares (OLS) to estimate the parameters of a multiple linear regression model.
OLSMultipleLinearRegression() - Constructor for class org.apache.commons.math4.stat.regression.OLSMultipleLinearRegression: Create an empty OLSMultipleLinearRegression instance.
OLSMultipleLinearRegression(double) - Constructor for class org.apache.commons.math4.stat.regression.OLSMultipleLinearRegression: Create an empty OLSMultipleLinearRegression instance, using the given singularity threshold for the QR decomposition.
one() - Method in interface org.apache.commons.numbers.core.Multiplication: Identity element.
one() - Method in class org.apache.commons.numbers.fraction.Fraction: Identity element.
ONE - Static variable in class org.apache.commons.math4.fraction.BigFraction: A fraction representing "1".
ONE - Static variable in class org.apache.commons.math4.fraction.Fraction: A fraction representing "1".
ONE - Static variable in class org.apache.commons.math4.util.BigReal: A big real representing 1.
ONE - Static variable in class org.apache.commons.math4.util.Decimal64: The constant value of 1d as a Decimal64.
ONE - Static variable in class org.apache.commons.numbers.complex.Complex: A complex number representing one.
ONE - Static variable in class org.apache.commons.numbers.fraction.BigFraction: A fraction representing "1".
ONE - Static variable in class org.apache.commons.numbers.fraction.Fraction: A fraction representing "1".
ONE_FIFTH - Static variable in class org.apache.commons.math4.fraction.BigFraction: A fraction representing "1/5".
ONE_FIFTH - Static variable in class org.apache.commons.math4.fraction.Fraction: A fraction representing "1/5".
ONE_FIFTH - Static variable in class org.apache.commons.numbers.fraction.BigFraction: A fraction representing "1/5".
ONE_FIFTH - Static variable in class org.apache.commons.numbers.fraction.Fraction: A fraction representing "1/5".
ONE_HALF - Static variable in class org.apache.commons.math4.fraction.BigFraction: A fraction representing "1/2".
ONE_HALF - Static variable in class org.apache.commons.math4.fraction.Fraction: A fraction representing "1/2".
ONE_HALF - Static variable in class org.apache.commons.numbers.fraction.BigFraction: A fraction representing "1/2".
ONE_HALF - Static variable in class org.apache.commons.numbers.fraction.Fraction: A fraction representing "1/2".
ONE_QUARTER - Static variable in class org.apache.commons.math4.fraction.BigFraction: A fraction representing "1/4".
ONE_QUARTER - Static variable in class org.apache.commons.math4.fraction.Fraction: A fraction representing "1/4".
ONE_QUARTER - Static variable in class org.apache.commons.numbers.fraction.BigFraction: A fraction representing "1/4".
ONE_QUARTER - Static variable in class org.apache.commons.numbers.fraction.Fraction: A fraction representing "1/4".
ONE_THIRD - Static variable in class org.apache.commons.math4.fraction.BigFraction: A fraction representing "1/3".
ONE_THIRD - Static variable in class org.apache.commons.math4.fraction.Fraction: A fraction representing "1/3".
ONE_THIRD - Static variable in class org.apache.commons.numbers.fraction.BigFraction: A fraction representing "1/3".
ONE_THIRD - Static variable in class org.apache.commons.numbers.fraction.Fraction: A fraction representing "1/3".
OneWayAnova - Class in org.apache.commons.math4.stat.inference: Implements one-way ANOVA (analysis of variance) statistics.
OneWayAnova() - Constructor for class org.apache.commons.math4.stat.inference.OneWayAnova: Default constructor.
oneWayAnovaFValue(Collection<double[]>) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
oneWayAnovaPValue(Collection<double[]>) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
oneWayAnovaTest(Collection<double[]>, double) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
OpenIntToDoubleHashMap - Class in org.apache.commons.math4.util: Open addressed map from int to double.
OpenIntToDoubleHashMap() - Constructor for class org.apache.commons.math4.util.OpenIntToDoubleHashMap: Build an empty map with default size and using NaN for missing entries.
OpenIntToDoubleHashMap(double) - Constructor for class org.apache.commons.math4.util.OpenIntToDoubleHashMap: Build an empty map with default size
OpenIntToDoubleHashMap(int) - Constructor for class org.apache.commons.math4.util.OpenIntToDoubleHashMap: Build an empty map with specified size and using NaN for missing entries.
OpenIntToDoubleHashMap(int, double) - Constructor for class org.apache.commons.math4.util.OpenIntToDoubleHashMap: Build an empty map with specified size.
OpenIntToDoubleHashMap(OpenIntToDoubleHashMap) - Constructor for class org.apache.commons.math4.util.OpenIntToDoubleHashMap: Copy constructor.
OpenIntToDoubleHashMap.Iterator - Class in org.apache.commons.math4.util: Iterator class for the map.
OpenIntToFieldHashMap<T extends FieldElement<T>> - Class in org.apache.commons.math4.util: Open addressed map from int to FieldElement.
OpenIntToFieldHashMap(Field<T>) - Constructor for class org.apache.commons.math4.util.OpenIntToFieldHashMap: Build an empty map with default size and using zero for missing entries.
OpenIntToFieldHashMap(Field<T>, int) - Constructor for class org.apache.commons.math4.util.OpenIntToFieldHashMap: Build an empty map with specified size and using zero for missing entries.
OpenIntToFieldHashMap(Field<T>, int, T) - Constructor for class org.apache.commons.math4.util.OpenIntToFieldHashMap: Build an empty map with specified size.
OpenIntToFieldHashMap(Field<T>, T) - Constructor for class org.apache.commons.math4.util.OpenIntToFieldHashMap: Build an empty map with default size
OpenIntToFieldHashMap(OpenIntToFieldHashMap<T>) - Constructor for class org.apache.commons.math4.util.OpenIntToFieldHashMap: Copy constructor.
OpenIntToFieldHashMap.Iterator - Class in org.apache.commons.math4.util: Iterator class for the map.
OpenMapEntry(OpenIntToDoubleHashMap.Iterator) - Constructor for class org.apache.commons.math4.linear.OpenMapRealVector.OpenMapEntry: Build an entry from an iterator point to an element.
OpenMapRealMatrix - Class in org.apache.commons.math4.linear: Sparse matrix implementation based on an open addressed map.
OpenMapRealMatrix(int, int) - Constructor for class org.apache.commons.math4.linear.OpenMapRealMatrix: Build a sparse matrix with the supplied row and column dimensions.
OpenMapRealMatrix(OpenMapRealMatrix) - Constructor for class org.apache.commons.math4.linear.OpenMapRealMatrix: Build a matrix by copying another one.
OpenMapRealVector - Class in org.apache.commons.math4.linear: This class implements the RealVector interface with a OpenIntToDoubleHashMap backing store.
OpenMapRealVector() - Constructor for class org.apache.commons.math4.linear.OpenMapRealVector: Build a 0-length vector.
OpenMapRealVector(double[]) - Constructor for class org.apache.commons.math4.linear.OpenMapRealVector: Create from an array.
OpenMapRealVector(double[], double) - Constructor for class org.apache.commons.math4.linear.OpenMapRealVector: Create from an array, specifying zero tolerance.
OpenMapRealVector(int) - Constructor for class org.apache.commons.math4.linear.OpenMapRealVector: Construct a vector of zeroes.
OpenMapRealVector(int, double) - Constructor for class org.apache.commons.math4.linear.OpenMapRealVector: Construct a vector of zeroes, specifying zero tolerance.
OpenMapRealVector(int, int) - Constructor for class org.apache.commons.math4.linear.OpenMapRealVector: Build a vector with known the sparseness (for advanced use only).
OpenMapRealVector(int, int, double) - Constructor for class org.apache.commons.math4.linear.OpenMapRealVector: Build a vector with known the sparseness and zero tolerance setting (for advanced use only).
OpenMapRealVector(Double[]) - Constructor for class org.apache.commons.math4.linear.OpenMapRealVector: Create from an array.
OpenMapRealVector(Double[], double) - Constructor for class org.apache.commons.math4.linear.OpenMapRealVector: Create from an array.
OpenMapRealVector(OpenMapRealVector) - Constructor for class org.apache.commons.math4.linear.OpenMapRealVector: Copy constructor.
OpenMapRealVector(OpenMapRealVector, int) - Constructor for class org.apache.commons.math4.linear.OpenMapRealVector: Build a resized vector, for use with append.
OpenMapRealVector(RealVector) - Constructor for class org.apache.commons.math4.linear.OpenMapRealVector: Generic copy constructor.
OpenMapRealVector.OpenMapEntry - Class in org.apache.commons.math4.linear: Implementation of Entry optimized for OpenMap.
OpenMapRealVector.OpenMapSparseIterator - Class in org.apache.commons.math4.linear: Iterator class to do iteration over just the non-zero elements.
OpenMapSparseIterator() - Constructor for class org.apache.commons.math4.linear.OpenMapRealVector.OpenMapSparseIterator: Simple constructor.
operate(double[]) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Returns the result of multiplying this by the vector v.
operate(double[]) - Method in class org.apache.commons.math4.linear.Array2DRowRealMatrix: Returns the result of multiplying this by the vector v.
operate(double[]) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Returns the result of multiplying this by the vector v.
operate(double[]) - Method in class org.apache.commons.math4.linear.DiagonalMatrix: Returns the result of multiplying this by the vector v.
operate(double[]) - Method in interface org.apache.commons.math4.linear.RealMatrix: Returns the result of multiplying this by the vector v.
operate(FieldVector<T>) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Returns the result of multiplying this by the vector v.
operate(FieldVector<T>) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Returns the result of multiplying this by the vector v.
operate(RealVector) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Returns the result of multiplying this by the vector x.
operate(RealVector) - Method in class org.apache.commons.math4.linear.JacobiPreconditioner: Returns the result of multiplying this by the vector x.
operate(RealVector) - Method in class org.apache.commons.math4.linear.RealLinearOperator: Returns the result of multiplying this by the vector x.
operate(RealVector) - Method in interface org.apache.commons.math4.linear.RealMatrix: Returns the result of multiplying this by the vector v.
operate(T[]) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Returns the result of multiplying this by the vector v.
operate(T[]) - Method in class org.apache.commons.math4.linear.Array2DRowFieldMatrix: Returns the result of multiplying this by the vector v.
operate(T[]) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Returns the result of multiplying this by the vector v.
operate(T[]) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Returns the result of multiplying this by the vector v.
operateTranspose(RealVector) - Method in class org.apache.commons.math4.linear.RealLinearOperator: Returns the result of multiplying the transpose of this operator by the vector x (optional operation).
OPERATOR - Static variable in class org.apache.commons.math4.linear.ConjugateGradient: Key for the exception context.
org.apache.commons - package org.apache.commons: This package is an import of some org.apache.commons source trees.
org.apache.commons.math4 - package org.apache.commons.math4: Common classes used throughout the commons-math library.
org.apache.commons.math4.analysis - package org.apache.commons.math4.analysis: Parent package for common numerical analysis procedures, including root finding, function interpolation and integration.
org.apache.commons.math4.analysis.differentiation - package org.apache.commons.math4.analysis.differentiation: This package holds the main interfaces and basic building block classes dealing with differentiation.
org.apache.commons.math4.analysis.function - package org.apache.commons.math4.analysis.function: The function package contains function objects that wrap the methods contained in Math, as well as common mathematical functions such as the gaussian and sinc functions.
org.apache.commons.math4.analysis.integration - package org.apache.commons.math4.analysis.integration: Numerical integration (quadrature) algorithms for univariate real functions.
org.apache.commons.math4.analysis.integration.gauss - package org.apache.commons.math4.analysis.integration.gauss: Gauss family of quadrature schemes.
org.apache.commons.math4.analysis.interpolation - package org.apache.commons.math4.analysis.interpolation: Univariate real functions interpolation algorithms.
org.apache.commons.math4.analysis.polynomials - package org.apache.commons.math4.analysis.polynomials: Univariate real polynomials implementations, seen as differentiable univariate real functions.
org.apache.commons.math4.analysis.solvers - package org.apache.commons.math4.analysis.solvers: Root finding algorithms, for univariate real functions.
org.apache.commons.math4.distribution - package org.apache.commons.math4.distribution: Implementations of common discrete and continuous distributions.
org.apache.commons.math4.distribution.fitting - package org.apache.commons.math4.distribution.fitting: Fitting of parameters against distributions.
org.apache.commons.math4.exception - package org.apache.commons.math4.exception: Specialized exceptions for algorithms errors.
org.apache.commons.math4.exception.util - package org.apache.commons.math4.exception.util: Classes supporting exception localization.
org.apache.commons.math4.fraction - package org.apache.commons.math4.fraction: Fraction number type and fraction number formatting.
org.apache.commons.math4.linear - package org.apache.commons.math4.linear: Linear algebra support.
org.apache.commons.math4.random - package org.apache.commons.math4.random: Random Data Generation
org.apache.commons.math4.stat - package org.apache.commons.math4.stat: Data storage, manipulation and summary routines.
org.apache.commons.math4.stat.correlation - package org.apache.commons.math4.stat.correlation: Correlations/Covariance computations.
org.apache.commons.math4.stat.descriptive - package org.apache.commons.math4.stat.descriptive: Generic univariate summary statistic objects.
org.apache.commons.math4.stat.descriptive.moment - package org.apache.commons.math4.stat.descriptive.moment: Summary statistics based on moments.
org.apache.commons.math4.stat.descriptive.rank - package org.apache.commons.math4.stat.descriptive.rank: Summary statistics based on ranks.
org.apache.commons.math4.stat.descriptive.summary - package org.apache.commons.math4.stat.descriptive.summary: Other summary statistics.
org.apache.commons.math4.stat.inference - package org.apache.commons.math4.stat.inference: Classes providing hypothesis testing.
org.apache.commons.math4.stat.interval - package org.apache.commons.math4.stat.interval: Classes providing binomial proportion confidence interval construction.
org.apache.commons.math4.stat.ranking - package org.apache.commons.math4.stat.ranking: Classes providing rank transformations.
org.apache.commons.math4.stat.regression - package org.apache.commons.math4.stat.regression: Statistical routines involving multivariate data.
org.apache.commons.math4.util - package org.apache.commons.math4.util: Convenience routines and common data structures used throughout the commons-math library.
org.apache.commons.numbers.arrays - package org.apache.commons.numbers.arrays: Array utilities.
org.apache.commons.numbers.combinatorics - package org.apache.commons.numbers.combinatorics: Combinatorics.
org.apache.commons.numbers.complex - package org.apache.commons.numbers.complex: Complex numbers.
org.apache.commons.numbers.complex.streams - package org.apache.commons.numbers.complex.streams: Complex numbers collections.
org.apache.commons.numbers.core - package org.apache.commons.numbers.core: Basic utilities.
org.apache.commons.numbers.fraction - package org.apache.commons.numbers.fraction: Fraction number type and fraction number formatting.
org.apache.commons.numbers.gamma - package org.apache.commons.numbers.gamma: Γ (Gamma) and Β (Beta) family of functions.
org.apache.commons.rng - package org.apache.commons.rng: Randomness providers API
org.apache.commons.rng.core - package org.apache.commons.rng.core: Base classes for the generation of uniformly distributed random numbers.
org.apache.commons.rng.core.source32 - package org.apache.commons.rng.core.source32: Concrete algorithms for int-based sources of randomness
org.apache.commons.rng.core.source64 - package org.apache.commons.rng.core.source64: Concrete algorithms for long-based sources of randomness
org.apache.commons.rng.core.util - package org.apache.commons.rng.core.util: Utilities
org.apache.commons.rng.sampling - package org.apache.commons.rng.sampling: Samplers
org.apache.commons.rng.sampling.distribution - package org.apache.commons.rng.sampling.distribution: Distribution samplers
org.apache.commons.rng.simple - package org.apache.commons.rng.simple: Randomness providers
org.apache.commons.rng.simple.internal - package org.apache.commons.rng.simple.internal: Utilities for seed conversion.
org.apache.commons.statistics.distribution - package org.apache.commons.statistics.distribution: Implementations of common discrete and continuous distributions.
OUT_OF_BOUND_SIGNIFICANCE_LEVEL - org.apache.commons.math4.exception.util.LocalizedFormats
OUT_OF_BOUNDS_CONFIDENCE_LEVEL - org.apache.commons.math4.exception.util.LocalizedFormats
OUT_OF_BOUNDS_QUANTILE_VALUE - org.apache.commons.math4.exception.util.LocalizedFormats
OUT_OF_ORDER_ABSCISSA_ARRAY - org.apache.commons.math4.exception.util.LocalizedFormats
OUT_OF_PLANE - org.apache.commons.math4.exception.util.LocalizedFormats
OUT_OF_RANGE - org.apache.commons.math4.exception.util.LocalizedFormats
OUT_OF_RANGE_LEFT - org.apache.commons.math4.exception.util.LocalizedFormats
OUT_OF_RANGE_RIGHT - org.apache.commons.math4.exception.util.LocalizedFormats
OUT_OF_RANGE_ROOT_OF_UNITY_INDEX - org.apache.commons.math4.exception.util.LocalizedFormats
OUT_OF_RANGE_SIMPLE - org.apache.commons.math4.exception.util.LocalizedFormats
outerProduct(ArrayFieldVector<T>) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Compute the outer product.
outerProduct(FieldVector<T>) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Compute the outer product.
outerProduct(FieldVector<T>) - Method in interface org.apache.commons.math4.linear.FieldVector: Compute the outer product.
outerProduct(FieldVector<T>) - Method in class org.apache.commons.math4.linear.SparseFieldVector: Compute the outer product.
outerProduct(RealVector) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Compute the outer product.
outerProduct(RealVector) - Method in class org.apache.commons.math4.linear.RealVector: Compute the outer product.
outerProduct(SparseFieldVector<T>) - Method in class org.apache.commons.math4.linear.SparseFieldVector: Optimized method to compute outer product when both vectors are sparse.
OUTLINE_BOUNDARY_LOOP_OPEN - org.apache.commons.math4.exception.util.LocalizedFormats
OutOfRangeException - Exception in org.apache.commons.math4.exception: Exception to be thrown when some argument is out of range.
OutOfRangeException(Number, Number, Number) - Constructor for exception org.apache.commons.math4.exception.OutOfRangeException: Construct an exception from the mismatched dimensions.
OutOfRangeException(Localizable, Number, Number, Number) - Constructor for exception org.apache.commons.math4.exception.OutOfRangeException: Construct an exception from the mismatched dimensions with a specific context information.
OVERFLOW - org.apache.commons.math4.exception.util.LocalizedFormats
OVERFLOW_IN_ADDITION - org.apache.commons.math4.exception.util.LocalizedFormats
OVERFLOW_IN_FRACTION - org.apache.commons.math4.exception.util.LocalizedFormats
OVERFLOW_IN_MULTIPLICATION - org.apache.commons.math4.exception.util.LocalizedFormats
OVERFLOW_IN_SUBTRACTION - org.apache.commons.math4.exception.util.LocalizedFormats

P

P() - Constructor for class org.apache.commons.numbers.gamma.RegularizedGamma.P
Pair<K,V> - Class in org.apache.commons.math4.util: Generic pair.
Pair(K, V) - Constructor for class org.apache.commons.math4.util.Pair: Create an entry representing a mapping from the specified key to the specified value.
Pair(Pair<? extends K, ? extends V>) - Constructor for class org.apache.commons.math4.util.Pair: Create an entry representing the same mapping as the specified entry.
pairedT(double[], double[]) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
pairedT(double[], double[]) - Method in class org.apache.commons.math4.stat.inference.TTest: Computes a paired, 2-sample t-statistic based on the data in the input arrays.
pairedTTest(double[], double[]) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
pairedTTest(double[], double[]) - Method in class org.apache.commons.math4.stat.inference.TTest: Returns the observed significance level, or p-value, associated with a paired, two-sample, two-tailed t-test based on the data in the input arrays.
pairedTTest(double[], double[], double) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
pairedTTest(double[], double[], double) - Method in class org.apache.commons.math4.stat.inference.TTest: Performs a paired t-test evaluating the null hypothesis that the mean of the paired differences between sample1 and sample2 is 0 in favor of the two-sided alternative that the mean paired difference is not equal to 0, with significance level alpha.
Parametric() - Constructor for class org.apache.commons.math4.analysis.function.Gaussian.Parametric
Parametric() - Constructor for class org.apache.commons.math4.analysis.function.HarmonicOscillator.Parametric
Parametric() - Constructor for class org.apache.commons.math4.analysis.function.Logistic.Parametric
Parametric() - Constructor for class org.apache.commons.math4.analysis.function.Logit.Parametric
Parametric() - Constructor for class org.apache.commons.math4.analysis.function.Sigmoid.Parametric
Parametric() - Constructor for class org.apache.commons.math4.analysis.polynomials.PolynomialFunction.Parametric
ParametricUnivariateFunction - Interface in org.apache.commons.math4.analysis: An interface representing a real function that depends on one independent variable plus some extra parameters.
Pareto - Class in io.virtdata.continuous.int_double
Pareto - Class in io.virtdata.continuous.long_double
Pareto(double, double, String...) - Constructor for class io.virtdata.continuous.int_double.Pareto
Pareto(double, double, String...) - Constructor for class io.virtdata.continuous.long_double.Pareto
ParetoAutoDocsInfo - Class in io.virtdata.continuous.int_double
ParetoAutoDocsInfo - Class in io.virtdata.continuous.long_double
ParetoAutoDocsInfo() - Constructor for class io.virtdata.continuous.int_double.ParetoAutoDocsInfo
ParetoAutoDocsInfo() - Constructor for class io.virtdata.continuous.long_double.ParetoAutoDocsInfo
ParetoDistribution - Class in org.apache.commons.statistics.distribution: Implementation of the Pareto distribution.
ParetoDistribution(double, double) - Constructor for class org.apache.commons.statistics.distribution.ParetoDistribution: Creates a Pareto distribution.
parse(String) - Method in class org.apache.commons.math4.linear.RealMatrixFormat: Parse a string to produce a RealMatrix object.
parse(String) - Method in class org.apache.commons.math4.linear.RealVectorFormat: Parse a string to produce a RealVector object.
parse(String) - Static method in class org.apache.commons.numbers.complex.Complex: Parses a string that would be produced by Complex.toString() and instantiates the corresponding object.
parse(String) - Method in class org.apache.commons.numbers.fraction.BigFractionFormat: Parses a string to produce a BigFraction object.
parse(String) - Method in class org.apache.commons.numbers.fraction.FractionFormat: Parses a string to produce a Fraction object.
parse(String, ParsePosition) - Method in class org.apache.commons.math4.linear.RealMatrixFormat: Parse a string to produce a RealMatrix object.
parse(String, ParsePosition) - Method in class org.apache.commons.math4.linear.RealVectorFormat: Parse a string to produce a RealVector object.
parse(String, ParsePosition) - Method in class org.apache.commons.numbers.fraction.BigFractionFormat: Parses a string to produce a BigFraction object.
parse(String, ParsePosition) - Method in class org.apache.commons.numbers.fraction.FractionFormat: Parses a string to produce a Fraction object.
parse(String, ParsePosition) - Method in class org.apache.commons.numbers.fraction.ProperBigFractionFormat: Parses a string to produce a BigFraction object.
parse(String, ParsePosition) - Method in class org.apache.commons.numbers.fraction.ProperFractionFormat: Parses a string to produce a Fraction object.
parseAndIgnoreWhitespace(String, ParsePosition) - Static method in class org.apache.commons.math4.util.CompositeFormat: Parses source until a non-whitespace character is found.
parseAndIgnoreWhitespace(String, ParsePosition) - Static method in class org.apache.commons.numbers.fraction.AbstractFormat: Parses source until a non-whitespace character is found.
parseFixedstring(String, String, ParsePosition) - Static method in class org.apache.commons.math4.util.CompositeFormat: Parse source for an expected fixed string.
parseNextBigInteger(String, ParsePosition) - Method in class org.apache.commons.numbers.fraction.BigFractionFormat: Parses a string to produce a BigInteger.
parseNextCharacter(String, ParsePosition) - Static method in class org.apache.commons.math4.util.CompositeFormat: Parses source until a non-whitespace character is found.
parseNextCharacter(String, ParsePosition) - Static method in class org.apache.commons.numbers.fraction.AbstractFormat: Parses source until a non-whitespace character is found.
parseNumber(String, NumberFormat, ParsePosition) - Static method in class org.apache.commons.math4.util.CompositeFormat: Parses source for a number.
Pascal - Class in io.virtdata.discrete.int_int
Pascal - Class in io.virtdata.discrete.int_long
Pascal - Class in io.virtdata.discrete.long_int
Pascal - Class in io.virtdata.discrete.long_long
Pascal(int, double, String...) - Constructor for class io.virtdata.discrete.int_int.Pascal
Pascal(int, double, String...) - Constructor for class io.virtdata.discrete.int_long.Pascal
Pascal(int, double, String...) - Constructor for class io.virtdata.discrete.long_int.Pascal
Pascal(int, double, String...) - Constructor for class io.virtdata.discrete.long_long.Pascal
PascalAutoDocsInfo - Class in io.virtdata.discrete.int_int
PascalAutoDocsInfo - Class in io.virtdata.discrete.int_long
PascalAutoDocsInfo - Class in io.virtdata.discrete.long_int
PascalAutoDocsInfo - Class in io.virtdata.discrete.long_long
PascalAutoDocsInfo() - Constructor for class io.virtdata.discrete.int_int.PascalAutoDocsInfo
PascalAutoDocsInfo() - Constructor for class io.virtdata.discrete.int_long.PascalAutoDocsInfo
PascalAutoDocsInfo() - Constructor for class io.virtdata.discrete.long_int.PascalAutoDocsInfo
PascalAutoDocsInfo() - Constructor for class io.virtdata.discrete.long_long.PascalAutoDocsInfo
PascalDistribution - Class in org.apache.commons.statistics.distribution: Implementation of the Pascal distribution. The Pascal distribution is a special case of the Negative Binomial distribution where the number of successes parameter is an integer.
PascalDistribution(int, double) - Constructor for class org.apache.commons.statistics.distribution.PascalDistribution: Create a Pascal distribution with the given number of successes and probability of success.
PearsonsCorrelation - Class in org.apache.commons.math4.stat.correlation: Computes Pearson's product-moment correlation coefficients for pairs of arrays or columns of a matrix.
PearsonsCorrelation() - Constructor for class org.apache.commons.math4.stat.correlation.PearsonsCorrelation: Create a PearsonsCorrelation instance without data.
PearsonsCorrelation(double[][]) - Constructor for class org.apache.commons.math4.stat.correlation.PearsonsCorrelation: Create a PearsonsCorrelation from a rectangular array whose columns represent values of variables to be correlated.
PearsonsCorrelation(RealMatrix) - Constructor for class org.apache.commons.math4.stat.correlation.PearsonsCorrelation: Create a PearsonsCorrelation from a RealMatrix whose columns represent variables to be correlated.
PearsonsCorrelation(RealMatrix, int) - Constructor for class org.apache.commons.math4.stat.correlation.PearsonsCorrelation: Create a PearsonsCorrelation from a covariance matrix.
PearsonsCorrelation(Covariance) - Constructor for class org.apache.commons.math4.stat.correlation.PearsonsCorrelation: Create a PearsonsCorrelation from a Covariance.
PEGASUS - org.apache.commons.math4.analysis.solvers.BaseSecantSolver.Method: The Pegasus method.
PegasusSolver - Class in org.apache.commons.math4.analysis.solvers: Implements the Pegasus method for root-finding (approximating a zero of a univariate real function).
PegasusSolver() - Constructor for class org.apache.commons.math4.analysis.solvers.PegasusSolver: Construct a solver with default accuracy (1e-6).
PegasusSolver(double) - Constructor for class org.apache.commons.math4.analysis.solvers.PegasusSolver: Construct a solver.
PegasusSolver(double, double) - Constructor for class org.apache.commons.math4.analysis.solvers.PegasusSolver: Construct a solver.
PegasusSolver(double, double, double) - Constructor for class org.apache.commons.math4.analysis.solvers.PegasusSolver: Construct a solver.
pelzGood(double, int) - Method in class org.apache.commons.math4.stat.inference.KolmogorovSmirnovTest: Computes the Pelz-Good approximation for \(P(D_n < d)\) as described in [2] in the class javadoc.
percentageValue() - Method in class org.apache.commons.math4.fraction.BigFraction: Gets the fraction percentage as a double.
percentageValue() - Method in class org.apache.commons.math4.fraction.Fraction: Gets the fraction percentage as a double.
percentageValue() - Method in class org.apache.commons.numbers.fraction.BigFraction: Gets the fraction percentage as a double.
percentageValue() - Method in class org.apache.commons.numbers.fraction.Fraction: Gets the fraction percentage as a double.
percentile(double[], double) - Static method in class org.apache.commons.math4.stat.StatUtils: Returns an estimate of the pth percentile of the values in the values array.
percentile(double[], int, int, double) - Static method in class org.apache.commons.math4.stat.StatUtils: Returns an estimate of the pth percentile of the values in the values array, starting with the element in (0-based) position begin in the array and including length values.
Percentile - Class in org.apache.commons.math4.stat.descriptive.rank: Provides percentile computation.
Percentile() - Constructor for class org.apache.commons.math4.stat.descriptive.rank.Percentile: Constructs a Percentile with the following defaults.
Percentile(double) - Constructor for class org.apache.commons.math4.stat.descriptive.rank.Percentile: Constructs a Percentile with the specific quantile value and the following default method type: Percentile.EstimationType.LEGACY default NaN strategy: NaNStrategy.REMOVED a Kth Selector : KthSelector
Percentile(double, Percentile.EstimationType, NaNStrategy, KthSelector) - Constructor for class org.apache.commons.math4.stat.descriptive.rank.Percentile: Constructs a Percentile with the specific quantile value, Percentile.EstimationType, NaNStrategy and KthSelector.
Percentile(Percentile) - Constructor for class org.apache.commons.math4.stat.descriptive.rank.Percentile: Copy constructor, creates a new Percentile identical to the original
PERCENTILE_IMPLEMENTATION_CANNOT_ACCESS_METHOD - org.apache.commons.math4.exception.util.LocalizedFormats
PERCENTILE_IMPLEMENTATION_UNSUPPORTED_METHOD - org.apache.commons.math4.exception.util.LocalizedFormats
Percentile.EstimationType - Enum in org.apache.commons.math4.stat.descriptive.rank: An enum for various estimation strategies of a percentile referred in wikipedia on quantile with the names of enum matching those of types mentioned in wikipedia.
performHouseholderReflection(int, double[][]) - Method in class org.apache.commons.math4.linear.QRDecomposition: Perform Householder reflection for a minor A(minor, minor) of A.
performHouseholderReflection(int, double[][]) - Method in class org.apache.commons.math4.linear.RRQRDecomposition: Perform Householder reflection for a minor A(minor, minor) of A.
PERMUTATION_EXCEEDS_N - org.apache.commons.math4.exception.util.LocalizedFormats
PERMUTATION_SIZE - org.apache.commons.math4.exception.util.LocalizedFormats
PermutationSampler - Class in org.apache.commons.rng.sampling: Class for representing permutations of a sequence of integers.
PermutationSampler(UniformRandomProvider, int, int) - Constructor for class org.apache.commons.rng.sampling.PermutationSampler: Creates a generator of permutations.
PI - Static variable in class org.apache.commons.math4.util.FastMath: Archimede's constant PI, ratio of circle circumference to diameter.
PI_SQUARED - Static variable in class org.apache.commons.math4.util.MathUtils: \(\pi^2\)
PiecewiseBicubicSplineInterpolatingFunction - Class in org.apache.commons.math4.analysis.interpolation: Function that implements the bicubic spline interpolation.
PiecewiseBicubicSplineInterpolatingFunction(double[], double[], double[][]) - Constructor for class org.apache.commons.math4.analysis.interpolation.PiecewiseBicubicSplineInterpolatingFunction
PiecewiseBicubicSplineInterpolator - Class in org.apache.commons.math4.analysis.interpolation: Generates a piecewise-bicubic interpolating function.
PiecewiseBicubicSplineInterpolator() - Constructor for class org.apache.commons.math4.analysis.interpolation.PiecewiseBicubicSplineInterpolator
pivotIndex(double[], int, int) - Method in class org.apache.commons.math4.util.CentralPivotingStrategy: Find pivot index of the array so that partition and K^th element selection can be made
pivotIndex(double[], int, int) - Method in class org.apache.commons.math4.util.MedianOf3PivotingStrategy: Find pivot index of the array so that partition and K^th element selection can be made
pivotIndex(double[], int, int) - Method in interface org.apache.commons.math4.util.PivotingStrategyInterface: Find pivot index of the array so that partition and K^th element selection can be made
pivotIndex(double[], int, int) - Method in class org.apache.commons.math4.util.RandomPivotingStrategy: Find pivot index of the array so that partition and K^th element selection can be made
PivotingStrategyInterface - Interface in org.apache.commons.math4.util: A strategy to pick a pivoting index of an array for doing partitioning.
Poisson - Class in io.virtdata.discrete.int_int
Poisson - Class in io.virtdata.discrete.int_long
Poisson - Class in io.virtdata.discrete.long_int
Poisson - Class in io.virtdata.discrete.long_long
Poisson(double, String...) - Constructor for class io.virtdata.discrete.int_int.Poisson
Poisson(double, String...) - Constructor for class io.virtdata.discrete.int_long.Poisson
Poisson(double, String...) - Constructor for class io.virtdata.discrete.long_int.Poisson
Poisson(double, String...) - Constructor for class io.virtdata.discrete.long_long.Poisson
PoissonAutoDocsInfo - Class in io.virtdata.discrete.int_int
PoissonAutoDocsInfo - Class in io.virtdata.discrete.int_long
PoissonAutoDocsInfo - Class in io.virtdata.discrete.long_int
PoissonAutoDocsInfo - Class in io.virtdata.discrete.long_long
PoissonAutoDocsInfo() - Constructor for class io.virtdata.discrete.int_int.PoissonAutoDocsInfo
PoissonAutoDocsInfo() - Constructor for class io.virtdata.discrete.int_long.PoissonAutoDocsInfo
PoissonAutoDocsInfo() - Constructor for class io.virtdata.discrete.long_int.PoissonAutoDocsInfo
PoissonAutoDocsInfo() - Constructor for class io.virtdata.discrete.long_long.PoissonAutoDocsInfo
PoissonDistribution - Class in org.apache.commons.statistics.distribution: Implementation of the Poisson distribution.
PoissonDistribution(double) - Constructor for class org.apache.commons.statistics.distribution.PoissonDistribution: Creates a new Poisson distribution with specified mean.
PoissonSampler - Class in org.apache.commons.rng.sampling.distribution: Sampler for the Poisson distribution.
PoissonSampler(UniformRandomProvider, double) - Constructor for class org.apache.commons.rng.sampling.distribution.PoissonSampler
PoissonSamplerCache - Class in org.apache.commons.rng.sampling.distribution: Create a sampler for the Poisson distribution using a cache to minimise construction cost.
PoissonSamplerCache(double, double) - Constructor for class org.apache.commons.rng.sampling.distribution.PoissonSamplerCache
polar2Complex(double[][][], double[][][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Creates Complex[][][] array given double[][][] arrays of r and theta.
polar2Complex(double[][], double[][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Creates Complex[][] array given double[][] arrays of r and theta.
polar2Complex(double[], double[]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Creates Complex[] array given double[] arrays of r and theta.
polar2Complex(double, double) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Creates a complex number from the given polar representation.
POLYNOMIAL - org.apache.commons.math4.exception.util.LocalizedFormats
POLYNOMIAL_INTERPOLANTS_MISMATCH_SEGMENTS - org.apache.commons.math4.exception.util.LocalizedFormats
polynomialDerivative() - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunction: Returns the derivative as a PolynomialFunction.
PolynomialFunction - Class in org.apache.commons.math4.analysis.polynomials: Immutable representation of a real polynomial function with real coefficients.
PolynomialFunction(double[]) - Constructor for class org.apache.commons.math4.analysis.polynomials.PolynomialFunction: Construct a polynomial with the given coefficients.
PolynomialFunction.Parametric - Class in org.apache.commons.math4.analysis.polynomials: Dedicated parametric polynomial class.
PolynomialFunctionLagrangeForm - Class in org.apache.commons.math4.analysis.polynomials: Implements the representation of a real polynomial function in Lagrange Form.
PolynomialFunctionLagrangeForm(double[], double[]) - Constructor for class org.apache.commons.math4.analysis.polynomials.PolynomialFunctionLagrangeForm: Construct a Lagrange polynomial with the given abscissas and function values.
PolynomialFunctionNewtonForm - Class in org.apache.commons.math4.analysis.polynomials: Implements the representation of a real polynomial function in Newton Form.
PolynomialFunctionNewtonForm(double[], double[]) - Constructor for class org.apache.commons.math4.analysis.polynomials.PolynomialFunctionNewtonForm: Construct a Newton polynomial with the given a[] and c[].
PolynomialSolver - Interface in org.apache.commons.math4.analysis.solvers: Interface for (polynomial) root-finding algorithms.
polynomialSplineDerivative() - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialSplineFunction: Get the derivative of the polynomial spline function.
PolynomialSplineFunction - Class in org.apache.commons.math4.analysis.polynomials: Represents a polynomial spline function.
PolynomialSplineFunction(double[], PolynomialFunction[]) - Constructor for class org.apache.commons.math4.analysis.polynomials.PolynomialSplineFunction: Construct a polynomial spline function with the given segment delimiters and interpolating polynomials.
PolynomialsUtils - Class in org.apache.commons.math4.analysis.polynomials: A collection of static methods that operate on or return polynomials.
POPULATION_LIMIT_NOT_POSITIVE - org.apache.commons.math4.exception.util.LocalizedFormats
POPULATION_SIZE - org.apache.commons.math4.exception.util.LocalizedFormats
populationVariance(double[]) - Static method in class org.apache.commons.math4.stat.StatUtils: Returns the population variance of the entries in the input array, or Double.NaN if the array is empty.
populationVariance(double[], double) - Static method in class org.apache.commons.math4.stat.StatUtils: Returns the population variance of the entries in the input array, using the precomputed mean value.
populationVariance(double[], double, int, int) - Static method in class org.apache.commons.math4.stat.StatUtils: Returns the population variance of the entries in the specified portion of the input array, using the precomputed mean value.
populationVariance(double[], int, int) - Static method in class org.apache.commons.math4.stat.StatUtils: Returns the population variance of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
POSITIVE_INFINITY - Static variable in class org.apache.commons.math4.util.Decimal64: The constant value of Double.POSITIVE_INFINITY as a Decimal64.
pow(double) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Power operation.
pow(double) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Power operation.
pow(double) - Method in class org.apache.commons.math4.fraction.BigFraction: Returns a double whose value is (this^exponent), returning the result in reduced form.
pow(double) - Method in interface org.apache.commons.math4.RealFieldElement: Power operation.
pow(double) - Method in class org.apache.commons.math4.util.Decimal64: Power operation.
pow(double) - Method in class org.apache.commons.numbers.complex.Complex: Returns of value of this complex number raised to the power of x.
pow(double) - Method in class org.apache.commons.numbers.fraction.BigFraction: Returns a double whose value is (this^exponent), returning the result in reduced form.
pow(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Compute power of a derivative structure.
pow(double[], int, double, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Compute power of a derivative structure.
pow(double[], int, int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Compute integer power of a derivative structure.
pow(double, double) - Static method in class org.apache.commons.math4.util.FastMath: Power function.
pow(double, double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Compute power of a double to a derivative structure.
pow(double, int) - Static method in class org.apache.commons.math4.util.FastMath: Raise a double to an int power.
pow(double, long) - Static method in class org.apache.commons.math4.util.FastMath: Raise a double to a long power.
pow(double, DerivativeStructure) - Static method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Compute a^x where a is a double and x a DerivativeStructure
pow(double, SparseGradient) - Static method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Compute a^x where a is a double and x a SparseGradient
pow(int) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Integer power operation.
pow(int) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Integer power operation.
pow(int) - Method in class org.apache.commons.math4.fraction.BigFraction: Returns a BigFraction whose value is (thisexponent), returning the result in reduced form.
pow(int) - Method in interface org.apache.commons.math4.RealFieldElement: Integer power operation.
pow(int) - Method in class org.apache.commons.math4.util.Decimal64: Integer power operation.
pow(int) - Method in interface org.apache.commons.numbers.core.NativeOperators: Repeated multiplication.
pow(int) - Method in class org.apache.commons.numbers.fraction.BigFraction: Returns a BigFraction whose value is (thisexponent), returning the result in reduced form.
pow(int) - Method in class org.apache.commons.numbers.fraction.Fraction
pow(int, int) - Static method in class org.apache.commons.numbers.core.ArithmeticUtils: Raise an int to an int power.
pow(long) - Method in class org.apache.commons.math4.fraction.BigFraction: Returns a BigFraction whose value is (this^exponent), returning the result in reduced form.
pow(long) - Method in class org.apache.commons.numbers.fraction.BigFraction: Returns a BigFraction whose value is (this^exponent), returning the result in reduced form.
pow(long, int) - Static method in class org.apache.commons.numbers.core.ArithmeticUtils: Raise a long to an int power.
pow(BigInteger) - Method in class org.apache.commons.math4.fraction.BigFraction: Returns a BigFraction whose value is (this^exponent), returning the result in reduced form.
pow(BigInteger) - Method in class org.apache.commons.numbers.fraction.BigFraction: Returns a BigFraction whose value is (this^exponent), returning the result in reduced form.
pow(BigInteger, int) - Static method in class org.apache.commons.numbers.core.ArithmeticUtils: Raise a BigInteger to an int power.
pow(BigInteger, long) - Static method in class org.apache.commons.numbers.core.ArithmeticUtils: Raise a BigInteger to a long power.
pow(BigInteger, BigInteger) - Static method in class org.apache.commons.numbers.core.ArithmeticUtils: Raise a BigInteger to a BigInteger power.
pow(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Power operation.
pow(SparseGradient) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Power operation.
pow(Decimal64) - Method in class org.apache.commons.math4.util.Decimal64: Power operation.
pow(Complex) - Method in class org.apache.commons.numbers.complex.Complex: Returns of value of this complex number raised to the power of x.
pow(T) - Method in interface org.apache.commons.math4.RealFieldElement: Power operation.
Pow - Class in org.apache.commons.math4.analysis.function: Power function.
Pow() - Constructor for class org.apache.commons.math4.analysis.function.Pow
power(int) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Returns the result multiplying this with itself p times.
power(int) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Returns the result of multiplying this with itself p times.
power(int) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Returns the result multiplying this with itself p times.
power(int) - Method in interface org.apache.commons.math4.linear.RealMatrix: Returns the result of multiplying this with itself p times.
Power - Class in org.apache.commons.math4.analysis.function: Power function.
Power(double) - Constructor for class org.apache.commons.math4.analysis.function.Power
POWER_NEGATIVE_PARAMETERS - org.apache.commons.math4.exception.util.LocalizedFormats
Precision - Class in org.apache.commons.numbers.core: Utilities for comparing numbers.
PreconditionedIterativeLinearSolver - Class in org.apache.commons.math4.linear: This abstract class defines preconditioned iterative solvers.
PreconditionedIterativeLinearSolver(int) - Constructor for class org.apache.commons.math4.linear.PreconditionedIterativeLinearSolver: Creates a new instance of this class, with default iteration manager.
PreconditionedIterativeLinearSolver(IterationManager) - Constructor for class org.apache.commons.math4.linear.PreconditionedIterativeLinearSolver: Creates a new instance of this class, with custom iteration manager.
predict(double) - Method in class org.apache.commons.math4.stat.regression.SimpleRegression: Returns the "predicted" y value associated with the supplied x value, based on the data that has been added to the model when this method is activated.
preMultiply(double[]) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(double[]) - Method in class org.apache.commons.math4.linear.Array2DRowRealMatrix: Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(double[]) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(double[]) - Method in class org.apache.commons.math4.linear.DiagonalMatrix: Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(double[]) - Method in interface org.apache.commons.math4.linear.RealMatrix: Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(FieldMatrix<T>) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Premultiply this matrix by m.
preMultiply(FieldMatrix<T>) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Premultiply this matrix by m.
preMultiply(FieldVector<T>) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(FieldVector<T>) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(RealMatrix) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Returns the result of premultiplying this by m.
preMultiply(RealMatrix) - Method in interface org.apache.commons.math4.linear.RealMatrix: Returns the result of premultiplying this by m.
preMultiply(RealVector) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(RealVector) - Method in class org.apache.commons.math4.linear.DiagonalMatrix: Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(RealVector) - Method in interface org.apache.commons.math4.linear.RealMatrix: Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(T[]) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(T[]) - Method in class org.apache.commons.math4.linear.Array2DRowFieldMatrix: Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(T[]) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(T[]) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Returns the (row) vector result of premultiplying this by the vector v.
probability(double) - Method in class org.apache.commons.math4.distribution.AbstractRealDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
probability(double) - Method in class org.apache.commons.math4.distribution.EmpiricalDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
probability(double) - Method in class org.apache.commons.math4.distribution.EnumeratedRealDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
probability(double) - Method in interface org.apache.commons.statistics.distribution.ContinuousDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
probability(double, double) - Method in class org.apache.commons.math4.distribution.AbstractRealDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(x0 < X <= x1).
probability(double, double) - Method in interface org.apache.commons.statistics.distribution.ContinuousDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(x0 < X <= x1).
probability(double, double) - Method in class org.apache.commons.statistics.distribution.LogNormalDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(x0 < X <= x1).
probability(double, double) - Method in class org.apache.commons.statistics.distribution.NormalDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(x0 < X <= x1).
probability(int) - Method in class org.apache.commons.math4.distribution.EnumeratedIntegerDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
probability(int) - Method in class org.apache.commons.statistics.distribution.BinomialDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
probability(int) - Method in interface org.apache.commons.statistics.distribution.DiscreteDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
probability(int) - Method in class org.apache.commons.statistics.distribution.GeometricDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
probability(int) - Method in class org.apache.commons.statistics.distribution.HypergeometricDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
probability(int) - Method in class org.apache.commons.statistics.distribution.PascalDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
probability(int) - Method in class org.apache.commons.statistics.distribution.PoissonDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
probability(int) - Method in class org.apache.commons.statistics.distribution.UniformDiscreteDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
probability(int) - Method in class org.apache.commons.statistics.distribution.ZipfDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
probability(int, int) - Method in class org.apache.commons.math4.distribution.AbstractIntegerDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(x0 < X <= x1).
probability(int, int) - Method in interface org.apache.commons.statistics.distribution.DiscreteDistribution: For a random variable X whose values are distributed according to this distribution, this method returns P(x0 < X <= x1).
processDataPoint(double) - Method in interface org.apache.commons.math4.stat.descriptive.rank.PSquarePercentile.PSquareMarkers: Process a data point by moving the marker heights based on estimator.
product(double[]) - Static method in class org.apache.commons.math4.stat.StatUtils: Returns the product of the entries in the input array, or Double.NaN if the array is empty.
product(double[], int, int) - Static method in class org.apache.commons.math4.stat.StatUtils: Returns the product of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
Product - Class in org.apache.commons.math4.stat.descriptive.summary: Returns the product of the available values.
Product() - Constructor for class org.apache.commons.math4.stat.descriptive.summary.Product: Create a Product instance.
Product(Product) - Constructor for class org.apache.commons.math4.stat.descriptive.summary.Product: Copy constructor, creates a new Product identical to the original.
proj() - Method in class org.apache.commons.numbers.complex.Complex: Returns projection of this complex number onto the Riemann sphere, i.e.
projection(ArrayFieldVector<T>) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Find the orthogonal projection of this vector onto another vector.
projection(FieldVector<T>) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Find the orthogonal projection of this vector onto another vector.
projection(FieldVector<T>) - Method in interface org.apache.commons.math4.linear.FieldVector: Find the orthogonal projection of this vector onto another vector.
projection(FieldVector<T>) - Method in class org.apache.commons.math4.linear.SparseFieldVector: Find the orthogonal projection of this vector onto another vector.
projection(RealVector) - Method in class org.apache.commons.math4.linear.RealVector: Find the orthogonal projection of this vector onto another vector.
PROPAGATION_DIRECTION_MISMATCH - org.apache.commons.math4.exception.util.LocalizedFormats
ProperBigFractionFormat - Class in org.apache.commons.numbers.fraction: Formats a BigFraction number in proper format.
ProperBigFractionFormat() - Constructor for class org.apache.commons.numbers.fraction.ProperBigFractionFormat: Create a proper formatting instance with the default number format for the whole, numerator, and denominator.
ProperBigFractionFormat(NumberFormat) - Constructor for class org.apache.commons.numbers.fraction.ProperBigFractionFormat: Create a proper formatting instance with a custom number format for the whole, numerator, and denominator.
ProperBigFractionFormat(NumberFormat, NumberFormat, NumberFormat) - Constructor for class org.apache.commons.numbers.fraction.ProperBigFractionFormat: Create a proper formatting instance with a custom number format for each of the whole, numerator, and denominator.
ProperFractionFormat - Class in org.apache.commons.numbers.fraction: Formats a Fraction number in proper format.
ProperFractionFormat() - Constructor for class org.apache.commons.numbers.fraction.ProperFractionFormat: Create a proper formatting instance with the default number format for the whole, numerator, and denominator.
ProperFractionFormat(NumberFormat) - Constructor for class org.apache.commons.numbers.fraction.ProperFractionFormat: Create a proper formatting instance with a custom number format for the whole, numerator, and denominator.
ProperFractionFormat(NumberFormat, NumberFormat, NumberFormat) - Constructor for class org.apache.commons.numbers.fraction.ProperFractionFormat: Create a proper formatting instance with a custom number format for each of the whole, numerator, and denominator.
ProviderBuilder - Class in org.apache.commons.rng.simple.internal: RNG builder.
ProviderBuilder.RandomSourceInternal - Enum in org.apache.commons.rng.simple.internal: Identifiers of the generators.
providesResidual() - Method in class org.apache.commons.math4.linear.DefaultIterativeLinearSolverEvent: Returns true if IterativeLinearSolverEvent.getResidual() is supported.
providesResidual() - Method in class org.apache.commons.math4.linear.IterativeLinearSolverEvent: Returns true if IterativeLinearSolverEvent.getResidual() is supported.
PSquarePercentile - Class in org.apache.commons.math4.stat.descriptive.rank: A StorelessUnivariateStatistic estimating percentiles using the P² Algorithm as explained by Raj Jain and Imrich Chlamtac in P² Algorithm for Dynamic Calculation of Quantiles and Histogram Without Storing Observations.
PSquarePercentile(double) - Constructor for class org.apache.commons.math4.stat.descriptive.rank.PSquarePercentile: Constructs a PSquarePercentile with the specific percentile value.
PSquarePercentile.PSquareMarkers - Interface in org.apache.commons.math4.stat.descriptive.rank: An interface that encapsulates abstractions of the P-square algorithm markers as is explained in the original works.
put(int, double) - Method in class org.apache.commons.math4.util.OpenIntToDoubleHashMap: Put a value associated with a key in the map.
put(int, T) - Method in class org.apache.commons.math4.util.OpenIntToFieldHashMap: Put a value associated with a key in the map.
putTransformer(Class<?>, NumberTransformer) - Method in class org.apache.commons.math4.util.TransformerMap: Sets a Class to Transformer Mapping in the Map.

Q

Q() - Constructor for class org.apache.commons.numbers.gamma.RegularizedGamma.Q
QRDecomposition - Class in org.apache.commons.math4.linear: Calculates the QR-decomposition of a matrix.
QRDecomposition(RealMatrix) - Constructor for class org.apache.commons.math4.linear.QRDecomposition: Calculates the QR-decomposition of the given matrix.
QRDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math4.linear.QRDecomposition: Calculates the QR-decomposition of the given matrix.
quantile() - Method in class org.apache.commons.math4.stat.descriptive.rank.PSquarePercentile: Returns the quantile estimated by this statistic in the range [0.0-1.0]

R

R_1 - org.apache.commons.math4.stat.descriptive.rank.Percentile.EstimationType: The method R_1 has the following formulae for index and estimates
\( \begin{align} &index= Np + 1/2\, \\ &estimate= x_{\lceil h\,-\,1/2 \rceil} \\ &minLimit = 0 \\ \end{align}\)
R_2 - org.apache.commons.math4.stat.descriptive.rank.Percentile.EstimationType: The method R_2 has the following formulae for index and estimates
\( \begin{align} &index= Np + 1/2\, \\ &estimate=\frac{x_{\lceil h\,-\,1/2 \rceil} + x_{\lfloor h\,+\,1/2 \rfloor}}{2} \\ &minLimit = 0 \\ &maxLimit = 1 \\ \end{align}\)
R_3 - org.apache.commons.math4.stat.descriptive.rank.Percentile.EstimationType: The method R_3 has the following formulae for index and estimates
\( \begin{align} &index= Np \\ &estimate= x_{\lfloor h \rceil}\, \\ &minLimit = 0.5/N \\ \end{align}\)
R_4 - org.apache.commons.math4.stat.descriptive.rank.Percentile.EstimationType: The method R_4 has the following formulae for index and estimates
\( \begin{align} &index= Np\, \\ &estimate= x_{\lfloor h \rfloor} + (h - \lfloor h \rfloor) (x_{\lfloor h \rfloor + 1} - x_{\lfloor h \rfloor}) \\ &minLimit = 1/N \\ &maxLimit = 1 \\ \end{align}\)
R_5 - org.apache.commons.math4.stat.descriptive.rank.Percentile.EstimationType: The method R_5 has the following formulae for index and estimates
\( \begin{align} &index= Np + 1/2\\ &estimate= x_{\lfloor h \rfloor} + (h - \lfloor h \rfloor) (x_{\lfloor h \rfloor + 1} - x_{\lfloor h \rfloor}) \\ &minLimit = 0.5/N \\ &maxLimit = (N-0.5)/N \end{align}\)
R_6 - org.apache.commons.math4.stat.descriptive.rank.Percentile.EstimationType: The method R_6 has the following formulae for index and estimates
\( \begin{align} &index= (N + 1)p \\ &estimate= x_{\lfloor h \rfloor} + (h - \lfloor h \rfloor) (x_{\lfloor h \rfloor + 1} - x_{\lfloor h \rfloor}) \\ &minLimit = 1/(N+1) \\ &maxLimit = N/(N+1) \\ \end{align}\)
R_7 - org.apache.commons.math4.stat.descriptive.rank.Percentile.EstimationType: The method R_7 implements Microsoft Excel style computation has the following formulae for index and estimates.
\( \begin{align} &index = (N-1)p + 1 \\ &estimate = x_{\lfloor h \rfloor} + (h - \lfloor h \rfloor) (x_{\lfloor h \rfloor + 1} - x_{\lfloor h \rfloor}) \\ &minLimit = 0 \\ &maxLimit = 1 \\ \end{align}\)
R_8 - org.apache.commons.math4.stat.descriptive.rank.Percentile.EstimationType: The method R_8 has the following formulae for index and estimates
\( \begin{align} &index = (N + 1/3)p + 1/3 \\ &estimate = x_{\lfloor h \rfloor} + (h - \lfloor h \rfloor) (x_{\lfloor h \rfloor + 1} - x_{\lfloor h \rfloor}) \\ &minLimit = (2/3)/(N+1/3) \\ &maxLimit = (N-1/3)/(N+1/3) \\ \end{align}\)
R_9 - org.apache.commons.math4.stat.descriptive.rank.Percentile.EstimationType: The method R_9 has the following formulae for index and estimates
\( \begin{align} &index = (N + 1/4)p + 3/8\\ &estimate = x_{\lfloor h \rfloor} + (h - \lfloor h \rfloor) (x_{\lfloor h \rfloor + 1} - x_{\lfloor h \rfloor}) \\ &minLimit = (5/8)/(N+1/4) \\ &maxLimit = (N-3/8)/(N+1/4) \\ \end{align}\)
random() - Static method in class org.apache.commons.math4.util.FastMath: Returns a pseudo-random number between 0.0 and 1.0.
RANDOM - org.apache.commons.math4.stat.ranking.TiesStrategy: Ties get a random integral value from among applicable ranks
RandomGenerator - Interface in org.apache.commons.math4.random: Deprecated.
As of 4.0. Please use UniformRandomProvider instead.
RandomIntSource - Interface in org.apache.commons.rng.core.source32: Source of randomness that generates values of type int.
RANDOMKEY_MUTATION_WRONG_CLASS - org.apache.commons.math4.exception.util.LocalizedFormats
RandomLongSource - Interface in org.apache.commons.rng.core.source64: Source of randomness that generates values of type long.
RandomPivotingStrategy - Class in org.apache.commons.math4.util: A strategy of selecting random index between begin and end indices.
RandomPivotingStrategy(RandomSource, long) - Constructor for class org.apache.commons.math4.util.RandomPivotingStrategy: Simple constructor.
RandomProviderDefaultState - Class in org.apache.commons.rng.core: Wraps the internal state of a generator instance.
RandomProviderDefaultState(byte[]) - Constructor for class org.apache.commons.rng.core.RandomProviderDefaultState: Initializes an instance.
RandomProviderState - Interface in org.apache.commons.rng: Marker interface for objects that represents the state of a random generator.
RandomSource - Enum in org.apache.commons.rng.simple: This class provides the API for creating generators of random numbers.
RandomUtils - Class in org.apache.commons.math4.random: Factory for creating generators of miscellaneous data.
RandomUtils.DataGenerator - Class in org.apache.commons.math4.random: Various random data generation routines.
RandomVectorGenerator - Interface in org.apache.commons.math4.random: This interface represents a random generator for whole vectors.
range(int, int) - Static method in class org.apache.commons.math4.util.IntegerSequence: Creates a sequence [start .. end].
range(int, int, int) - Static method in class org.apache.commons.math4.util.IntegerSequence: Creates a sequence a_i, i < 0 < n where a_i = start + i * step and n is such that a_n <= max and a_n+1 > max.
Range(int, int, int) - Constructor for class org.apache.commons.math4.util.IntegerSequence.Range: Creates a sequence a_i, i < 0 < n where a_i = start + i * step and n is such that a_n <= max and a_n+1 > max.
rank(double[]) - Method in class org.apache.commons.math4.stat.ranking.NaturalRanking: Rank data using the natural ordering on Doubles, with NaN values handled according to nanStrategy and ties resolved using tiesStrategy.
rank(double[]) - Method in interface org.apache.commons.math4.stat.ranking.RankingAlgorithm: Performs a rank transformation on the input data, returning an array of ranks.
RankingAlgorithm - Interface in org.apache.commons.math4.stat.ranking: Interface representing a rank transformation.
real() - Method in class org.apache.commons.numbers.complex.Complex: Access the real part (C++ grammar)
REAL_FORMAT - org.apache.commons.math4.exception.util.LocalizedFormats
real2Complex(double[]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a double[] array to a Complex[] array.
real2Complex(double[][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a 2D real double[][] array to a 2D Complex[][] array.
real2Complex(double[][][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a 3D real double[][][] array to a Complex [][][] array.
real2Complex(double[][][][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a 4D real double[][][][] array to a Complex [][][][] array.
real2Complex(float[]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a float[] array to a Complex[] array.
real2Complex(float[][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a 2D real float[][] array to a 2D Complex[][] array.
real2Complex(float[][][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a 3D real float[][][] array to a Complex [][][] array.
RealDistribution - Interface in org.apache.commons.math4.distribution: Base interface for distributions on the reals.
RealDistributionICDSource - Class in io.virtdata.continuous.common
RealDistributionICDSource(ContinuousDistribution) - Constructor for class io.virtdata.continuous.common.RealDistributionICDSource
RealFieldElement<T> - Interface in org.apache.commons.math4: Interface representing a real field.
RealFieldUnivariateFunction<T extends RealFieldElement<T>> - Interface in org.apache.commons.math4.analysis: An interface representing a univariate real function.
RealIntDoubleSampler - Class in io.virtdata.continuous.common
RealIntDoubleSampler(DoubleUnaryOperator, boolean, boolean, double) - Constructor for class io.virtdata.continuous.common.RealIntDoubleSampler
RealLinearOperator - Class in org.apache.commons.math4.linear: This class defines a linear operator operating on real (double) vector spaces.
RealLinearOperator() - Constructor for class org.apache.commons.math4.linear.RealLinearOperator
RealLongDoubleSampler - Class in io.virtdata.continuous.common
RealLongDoubleSampler(DoubleUnaryOperator, boolean, boolean, double) - Constructor for class io.virtdata.continuous.common.RealLongDoubleSampler
RealMatrix - Interface in org.apache.commons.math4.linear: Interface defining a real-valued matrix with basic algebraic operations.
RealMatrixChangingVisitor - Interface in org.apache.commons.math4.linear: Interface defining a visitor for matrix entries.
RealMatrixFormat - Class in org.apache.commons.math4.linear: Formats a nxm matrix in components list format "{{a₀₀,a₀₁, ..., a₀_m-1},{a₁₀, a₁₁, ..., a₁_m-1},{...},{ a_n-1₀, a_n-1₁, ..., a_n-1_m-1}}".
RealMatrixFormat() - Constructor for class org.apache.commons.math4.linear.RealMatrixFormat: Create an instance with default settings.
RealMatrixFormat(String, String, String, String, String, String) - Constructor for class org.apache.commons.math4.linear.RealMatrixFormat: Create an instance with custom prefix, suffix and separator.
RealMatrixFormat(String, String, String, String, String, String, NumberFormat) - Constructor for class org.apache.commons.math4.linear.RealMatrixFormat: Create an instance with custom prefix, suffix, separator and format for components.
RealMatrixFormat(NumberFormat) - Constructor for class org.apache.commons.math4.linear.RealMatrixFormat: Create an instance with a custom number format for components.
RealMatrixPreservingVisitor - Interface in org.apache.commons.math4.linear: Interface defining a visitor for matrix entries.
RealVector - Class in org.apache.commons.math4.linear: Class defining a real-valued vector with basic algebraic operations.
RealVector() - Constructor for class org.apache.commons.math4.linear.RealVector
RealVector.Entry - Class in org.apache.commons.math4.linear: An entry in the vector.
RealVector.SparseEntryIterator - Class in org.apache.commons.math4.linear: This class should rarely be used, but is here to provide a default implementation of sparseIterator(), which is implemented by walking over the entries, skipping those that are zero.
RealVectorChangingVisitor - Interface in org.apache.commons.math4.linear: This interface defines a visitor for the entries of a vector.
RealVectorFormat - Class in org.apache.commons.math4.linear: Formats a vector in components list format "{v0; v1; ...; vk-1}".
RealVectorFormat() - Constructor for class org.apache.commons.math4.linear.RealVectorFormat: Create an instance with default settings.
RealVectorFormat(String, String, String) - Constructor for class org.apache.commons.math4.linear.RealVectorFormat: Create an instance with custom prefix, suffix and separator.
RealVectorFormat(String, String, String, NumberFormat) - Constructor for class org.apache.commons.math4.linear.RealVectorFormat: Create an instance with custom prefix, suffix, separator and format for components.
RealVectorFormat(NumberFormat) - Constructor for class org.apache.commons.math4.linear.RealVectorFormat: Create an instance with a custom number format for components.
RealVectorPreservingVisitor - Interface in org.apache.commons.math4.linear: This interface defines a visitor for the entries of a vector.
reciprocal() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Returns the multiplicative inverse of this element.
reciprocal() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Returns the multiplicative inverse of this element.
reciprocal() - Method in interface org.apache.commons.math4.FieldElement: Returns the multiplicative inverse of this element.
reciprocal() - Method in class org.apache.commons.math4.fraction.BigFraction: Return the multiplicative inverse of this fraction.
reciprocal() - Method in class org.apache.commons.math4.fraction.Fraction: Return the multiplicative inverse of this fraction.
reciprocal() - Method in interface org.apache.commons.math4.RealFieldElement: Returns the multiplicative inverse of this element.
reciprocal() - Method in class org.apache.commons.math4.util.BigReal: Returns the multiplicative inverse of this element.
reciprocal() - Method in class org.apache.commons.math4.util.Decimal64: Returns the multiplicative inverse of this element.
reciprocal() - Method in class org.apache.commons.numbers.complex.Complex: Returns the multiplicative inverse of this instance.
reciprocal() - Method in interface org.apache.commons.numbers.core.Multiplication: Multiplicative inverse.
reciprocal() - Method in class org.apache.commons.numbers.fraction.BigFraction: Return the multiplicative inverse of this fraction.
reciprocal() - Method in class org.apache.commons.numbers.fraction.Fraction: Return the multiplicative inverse of this fraction.
RectangularCholeskyDecomposition - Class in org.apache.commons.math4.linear: Calculates the rectangular Cholesky decomposition of a matrix.
RectangularCholeskyDecomposition(RealMatrix) - Constructor for class org.apache.commons.math4.linear.RectangularCholeskyDecomposition: Decompose a symmetric positive semidefinite matrix.
RectangularCholeskyDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math4.linear.RectangularCholeskyDecomposition: Decompose a symmetric positive semidefinite matrix.
reduce() - Method in class org.apache.commons.math4.fraction.BigFraction: Reduce this BigFraction to its lowest terms.
reduce() - Method in class org.apache.commons.numbers.fraction.BigFraction: Reduce this BigFraction to its lowest terms.
reduce(double, double, double) - Static method in class org.apache.commons.math4.util.MathUtils: Reduce |a - offset| to the primary interval [0, |period|).
regress() - Method in class org.apache.commons.math4.stat.regression.MillerUpdatingRegression: Conducts a regression on the data in the model, using all regressors.
regress() - Method in class org.apache.commons.math4.stat.regression.SimpleRegression: Performs a regression on data present in buffers and outputs a RegressionResults object.
regress() - Method in interface org.apache.commons.math4.stat.regression.UpdatingMultipleLinearRegression: Performs a regression on data present in buffers and outputs a RegressionResults object
regress(int) - Method in class org.apache.commons.math4.stat.regression.MillerUpdatingRegression: Conducts a regression on the data in the model, using a subset of regressors.
regress(int[]) - Method in class org.apache.commons.math4.stat.regression.MillerUpdatingRegression: Conducts a regression on the data in the model, using regressors in array Calling this method will change the internal order of the regressors and care is required in interpreting the hatmatrix.
regress(int[]) - Method in class org.apache.commons.math4.stat.regression.SimpleRegression: Performs a regression on data present in buffers including only regressors indexed in variablesToInclude and outputs a RegressionResults object
regress(int[]) - Method in interface org.apache.commons.math4.stat.regression.UpdatingMultipleLinearRegression: Performs a regression on data present in buffers including only regressors indexed in variablesToInclude and outputs a RegressionResults object
RegressionResults - Class in org.apache.commons.math4.stat.regression: Results of a Multiple Linear Regression model fit.
RegressionResults(double[], double[][], boolean, long, int, double, double, double, boolean, boolean) - Constructor for class org.apache.commons.math4.stat.regression.RegressionResults: Constructor for Regression Results.
REGULA_FALSI - org.apache.commons.math4.analysis.solvers.BaseSecantSolver.Method: The Regula Falsi or False Position method.
RegulaFalsiSolver - Class in org.apache.commons.math4.analysis.solvers: Implements the Regula Falsi or False position method for root-finding (approximating a zero of a univariate real function).
RegulaFalsiSolver() - Constructor for class org.apache.commons.math4.analysis.solvers.RegulaFalsiSolver: Construct a solver with default accuracy (1e-6).
RegulaFalsiSolver(double) - Constructor for class org.apache.commons.math4.analysis.solvers.RegulaFalsiSolver: Construct a solver.
RegulaFalsiSolver(double, double) - Constructor for class org.apache.commons.math4.analysis.solvers.RegulaFalsiSolver: Construct a solver.
RegulaFalsiSolver(double, double, double) - Constructor for class org.apache.commons.math4.analysis.solvers.RegulaFalsiSolver: Construct a solver.
RegularizedBeta - Class in org.apache.commons.numbers.gamma: Regularized Beta function.
RegularizedBeta() - Constructor for class org.apache.commons.numbers.gamma.RegularizedBeta
RegularizedGamma - Class in org.apache.commons.numbers.gamma: Regularized Gamma functions.
RegularizedGamma() - Constructor for class org.apache.commons.numbers.gamma.RegularizedGamma
RegularizedGamma.P - Class in org.apache.commons.numbers.gamma: \( P(a, x) \) regularized Gamma function.
RegularizedGamma.Q - Class in org.apache.commons.numbers.gamma: Creates the \( Q(a, x) \equiv 1 - P(a, x) \) regularized Gamma function.
RejectionInversionZipfSampler - Class in org.apache.commons.rng.sampling.distribution: Implementation of the Zipf distribution.
RejectionInversionZipfSampler(UniformRandomProvider, int, double) - Constructor for class org.apache.commons.rng.sampling.distribution.RejectionInversionZipfSampler
remainder(double) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: IEEE remainder operator.
remainder(double) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: IEEE remainder operator.
remainder(double) - Method in interface org.apache.commons.math4.RealFieldElement: IEEE remainder operator.
remainder(double) - Method in class org.apache.commons.math4.util.Decimal64: IEEE remainder operator.
remainder(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Perform remainder of two derivative structures.
remainder(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: IEEE remainder operator.
remainder(SparseGradient) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: IEEE remainder operator.
remainder(Decimal64) - Method in class org.apache.commons.math4.util.Decimal64: IEEE remainder operator.
remainder(T) - Method in interface org.apache.commons.math4.RealFieldElement: IEEE remainder operator.
remainderUnsigned(int, int) - Static method in class org.apache.commons.numbers.core.ArithmeticUtils: Returns the unsigned remainder from dividing the first argument by the second where each argument and the result is interpreted as an unsigned value.
remainderUnsigned(long, long) - Static method in class org.apache.commons.numbers.core.ArithmeticUtils: Returns the unsigned remainder from dividing the first argument by the second where each argument and the result is interpreted as an unsigned value.
remove() - Method in class org.apache.commons.math4.linear.OpenMapRealVector.OpenMapSparseIterator
remove() - Method in class org.apache.commons.math4.linear.RealVector.SparseEntryIterator
remove() - Method in class org.apache.commons.math4.util.IntegerSequence.Incrementor: Not applicable.
remove() - Method in class org.apache.commons.math4.util.MultidimensionalCounter.Iterator
remove(int) - Method in class org.apache.commons.math4.util.OpenIntToDoubleHashMap: Remove the value associated with a key.
remove(int) - Method in class org.apache.commons.math4.util.OpenIntToFieldHashMap: Remove the value associated with a key.
REMOVED - org.apache.commons.math4.stat.ranking.NaNStrategy: NaNs are removed before computing ranks
REMOVED - Static variable in class org.apache.commons.math4.util.OpenIntToDoubleHashMap: Status indicator for removed table entries.
REMOVED - Static variable in class org.apache.commons.math4.util.OpenIntToFieldHashMap: Status indicator for removed table entries.
removeData(double[][]) - Method in class org.apache.commons.math4.stat.regression.SimpleRegression: Removes observations represented by the elements in data.
removeData(double, double) - Method in class org.apache.commons.math4.stat.regression.SimpleRegression: Removes the observation (x,y) from the regression data set.
removeIterationListener(IterationListener) - Method in class org.apache.commons.math4.util.IterationManager: Removes the specified iteration listener from the list of listeners currently attached to this object.
removeMostRecentValue() - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Removes the most recent value from the dataset.
removeTransformer(Class<?>) - Method in class org.apache.commons.math4.util.TransformerMap: Removes a Class to Transformer Mapping in the Map.
replaceMostRecentValue(double) - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Replaces the most recently stored value with the given value.
representableDelta(double, double) - Static method in class org.apache.commons.numbers.core.Precision: Computes a number delta close to originalDelta with the property that
resetCount() - Method in class org.apache.commons.math4.util.Incrementor: Deprecated.

Resets the counter to 0.
resetIterationCount() - Method in class org.apache.commons.math4.util.IterationManager: Sets the iteration count to 0.
ResizableDoubleArray - Class in org.apache.commons.math4.util: A variable length DoubleArray implementation that automatically handles expanding and contracting its internal storage array as elements are added and removed.
ResizableDoubleArray() - Constructor for class org.apache.commons.math4.util.ResizableDoubleArray: Creates an instance with default properties.
ResizableDoubleArray(double[]) - Constructor for class org.apache.commons.math4.util.ResizableDoubleArray: Creates an instance from an existing double[] with the initial capacity and numElements corresponding to the size of the supplied double[] array.
ResizableDoubleArray(int) - Constructor for class org.apache.commons.math4.util.ResizableDoubleArray: Creates an instance with the specified initial capacity.
ResizableDoubleArray(int, double) - Constructor for class org.apache.commons.math4.util.ResizableDoubleArray: Creates an instance with the specified initial capacity and expansion factor.
ResizableDoubleArray(int, double, double) - Constructor for class org.apache.commons.math4.util.ResizableDoubleArray: Creates an instance with the specified initial capacity, expansion factor, and contraction criteria.
ResizableDoubleArray(int, double, double, ResizableDoubleArray.ExpansionMode, double...) - Constructor for class org.apache.commons.math4.util.ResizableDoubleArray: Creates an instance with the specified properties.
ResizableDoubleArray(ResizableDoubleArray) - Constructor for class org.apache.commons.math4.util.ResizableDoubleArray: Copy constructor.
ResizableDoubleArray.ExpansionMode - Enum in org.apache.commons.math4.util: Specification of expansion algorithm.
RestorableUniformRandomProvider - Interface in org.apache.commons.rng: Applies to generators whose internal state can be saved and restored.
restoreState(RandomProviderState) - Method in class org.apache.commons.rng.core.BaseProvider: Restores the state of a generator.
restoreState(RandomProviderState) - Method in interface org.apache.commons.rng.RestorableUniformRandomProvider: Restores the state of a generator.
RiddersSolver - Class in org.apache.commons.math4.analysis.solvers: Implements the Ridders' Method for root finding of real univariate functions.
RiddersSolver() - Constructor for class org.apache.commons.math4.analysis.solvers.RiddersSolver: Construct a solver with default accuracy (1e-6).
RiddersSolver(double) - Constructor for class org.apache.commons.math4.analysis.solvers.RiddersSolver: Construct a solver.
RiddersSolver(double, double) - Constructor for class org.apache.commons.math4.analysis.solvers.RiddersSolver: Construct a solver.
RIGHT_SIDE - org.apache.commons.math4.analysis.solvers.AllowedSolution: Only solutions that are greater than or equal to the actual root are acceptable as solutions for root-finding.
rint() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Get the whole number that is the nearest to the instance, or the even one if x is exactly half way between two integers.
rint() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Get the whole number that is the nearest to the instance, or the even one if x is exactly half way between two integers.
rint() - Method in interface org.apache.commons.math4.RealFieldElement: Get the whole number that is the nearest to the instance, or the even one if x is exactly half way between two integers.
rint() - Method in class org.apache.commons.math4.util.Decimal64: Get the whole number that is the nearest to the instance, or the even one if x is exactly half way between two integers.
rint(double) - Static method in class org.apache.commons.math4.util.FastMath: Get the whole number that is the nearest to x, or the even one if x is exactly half way between two integers.
Rint - Class in org.apache.commons.math4.analysis.function: rint function.
Rint() - Constructor for class org.apache.commons.math4.analysis.function.Rint
RngAdaptor - Class in org.apache.commons.math4.random: Deprecated.
As of 4.0. This class is made available for testing the new RNG implementations in existing applications. It will be removed in the next major release.
RngAdaptor(RandomSource) - Constructor for class org.apache.commons.math4.random.RngAdaptor: Deprecated.

Creates a new instance.
RngAdaptor(RandomSource, Object) - Constructor for class org.apache.commons.math4.random.RngAdaptor: Deprecated.

Creates a new instance.
ROBUSTNESS_ITERATIONS - org.apache.commons.math4.exception.util.LocalizedFormats
ROMBERG_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math4.analysis.integration.RombergIntegrator: Maximal number of iterations for Romberg.
RombergIntegrator - Class in org.apache.commons.math4.analysis.integration: Implements the Romberg Algorithm for integration of real univariate functions.
RombergIntegrator() - Constructor for class org.apache.commons.math4.analysis.integration.RombergIntegrator: Construct a Romberg integrator with default settings (max iteration count set to RombergIntegrator.ROMBERG_MAX_ITERATIONS_COUNT)
RombergIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math4.analysis.integration.RombergIntegrator: Build a Romberg integrator with given accuracies and iterations counts.
RombergIntegrator(int, int) - Constructor for class org.apache.commons.math4.analysis.integration.RombergIntegrator: Build a Romberg integrator with given iteration counts.
rootLogLikelihoodRatio(long, long, long, long) - Method in class org.apache.commons.math4.stat.inference.GTest: Calculates the root log-likelihood ratio for 2 state Datasets.
rootLogLikelihoodRatio(long, long, long, long) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
rootN(double[], int, int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Compute n^th root of a derivative structure.
rootN(int) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: N^th root.
rootN(int) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: N^th root.
rootN(int) - Method in interface org.apache.commons.math4.RealFieldElement: N^th root.
rootN(int) - Method in class org.apache.commons.math4.util.Decimal64: N^th root.
ROOTS_OF_UNITY_NOT_COMPUTED_YET - org.apache.commons.math4.exception.util.LocalizedFormats
ROTATION_MATRIX_DIMENSIONS - org.apache.commons.math4.exception.util.LocalizedFormats
round() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Get the closest long to instance value.
round() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Get the closest long to instance value.
round() - Method in interface org.apache.commons.math4.RealFieldElement: Get the closest long to instance value.
round() - Method in class org.apache.commons.math4.util.Decimal64: Get the closest long to instance value.
round(double) - Static method in class org.apache.commons.math4.util.FastMath: Get the closest long to x.
round(double, int) - Static method in class org.apache.commons.numbers.core.Precision: Rounds the given value to the specified number of decimal places.
round(double, int, RoundingMode) - Static method in class org.apache.commons.numbers.core.Precision: Rounds the given value to the specified number of decimal places.
round(float) - Static method in class org.apache.commons.math4.util.FastMath: Get the closest int to x.
ROW_INDEX - org.apache.commons.math4.exception.util.LocalizedFormats
ROW_INDEX_OUT_OF_RANGE - org.apache.commons.math4.exception.util.LocalizedFormats
RRQRDecomposition - Class in org.apache.commons.math4.linear: Calculates the rank-revealing QR-decomposition of a matrix, with column pivoting.
RRQRDecomposition(RealMatrix) - Constructor for class org.apache.commons.math4.linear.RRQRDecomposition: Calculates the QR-decomposition of the given matrix.
RRQRDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math4.linear.RRQRDecomposition: Calculates the QR-decomposition of the given matrix.

S

SAFE_MIN - Static variable in class org.apache.commons.numbers.core.Precision: Safe minimum, such that 1 / SAFE_MIN does not overflow.
SafeNorm - Class in org.apache.commons.numbers.arrays: Computes the Cartesian norm (2-norm), handling both overflow and underflow.
SafeNorm() - Constructor for class org.apache.commons.numbers.arrays.SafeNorm
SAME_SIGN_AT_ENDPOINTS - org.apache.commons.math4.exception.util.LocalizedFormats
sample() - Method in class org.apache.commons.math4.distribution.EnumeratedDistribution.Sampler: Generates a random value sampled from this distribution.
sample() - Method in interface org.apache.commons.math4.distribution.MultivariateRealDistribution.Sampler: Generates a random value vector sampled from this distribution.
sample() - Method in class org.apache.commons.rng.sampling.CollectionSampler: Picks one of the items from the collection passed to the constructor.
sample() - Method in class org.apache.commons.rng.sampling.CombinationSampler: Return a combination of k whose entries are selected randomly, without repetition, from the integers 0, 1, ..., n-1 (inclusive).
sample() - Method in class org.apache.commons.rng.sampling.DiscreteProbabilityCollectionSampler: Picks one of the items from the collection passed to the constructor.
sample() - Method in class org.apache.commons.rng.sampling.distribution.AhrensDieterExponentialSampler: Creates a sample.
sample() - Method in class org.apache.commons.rng.sampling.distribution.AhrensDieterMarsagliaTsangGammaSampler: Creates a sample.
sample() - Method in class org.apache.commons.rng.sampling.distribution.BoxMullerGaussianSampler: Deprecated.

Creates a sample.
sample() - Method in class org.apache.commons.rng.sampling.distribution.BoxMullerLogNormalSampler: Deprecated.

Creates a sample.
sample() - Method in class org.apache.commons.rng.sampling.distribution.BoxMullerNormalizedGaussianSampler: Creates a sample.
sample() - Method in class org.apache.commons.rng.sampling.distribution.ChengBetaSampler: Creates a sample.
sample() - Method in interface org.apache.commons.rng.sampling.distribution.ContinuousSampler: Creates a sample.
sample() - Method in class org.apache.commons.rng.sampling.distribution.ContinuousUniformSampler: Creates a sample.
sample() - Method in interface org.apache.commons.rng.sampling.distribution.DiscreteSampler: Creates a sample.
sample() - Method in class org.apache.commons.rng.sampling.distribution.DiscreteUniformSampler: Creates a sample.
sample() - Method in class org.apache.commons.rng.sampling.distribution.GaussianSampler: Creates a sample.
sample() - Method in class org.apache.commons.rng.sampling.distribution.GeometricSampler: Create a sample from a geometric distribution.
sample() - Method in class org.apache.commons.rng.sampling.distribution.InverseTransformContinuousSampler: Creates a sample.
sample() - Method in class org.apache.commons.rng.sampling.distribution.InverseTransformDiscreteSampler: Creates a sample.
sample() - Method in class org.apache.commons.rng.sampling.distribution.InverseTransformParetoSampler: Creates a sample.
sample() - Method in class org.apache.commons.rng.sampling.distribution.LargeMeanPoissonSampler: Creates a sample.
sample() - Method in class org.apache.commons.rng.sampling.distribution.LogNormalSampler: Creates a sample.
sample() - Method in class org.apache.commons.rng.sampling.distribution.MarsagliaNormalizedGaussianSampler: Creates a sample.
sample() - Method in class org.apache.commons.rng.sampling.distribution.PoissonSampler: Creates a sample.
sample() - Method in class org.apache.commons.rng.sampling.distribution.RejectionInversionZipfSampler: Rejection inversion sampling method for a discrete, bounded Zipf distribution that is based on the method described in Wolfgang Hörmann and Gerhard Derflinger.
sample() - Method in class org.apache.commons.rng.sampling.distribution.SmallMeanPoissonSampler: Creates a sample.
sample() - Method in class org.apache.commons.rng.sampling.distribution.ZigguratNormalizedGaussianSampler: Creates a sample.
sample() - Method in class org.apache.commons.rng.sampling.PermutationSampler
sample() - Method in interface org.apache.commons.statistics.distribution.ContinuousDistribution.Sampler: Generates a random value sampled from this distribution.
sample() - Method in interface org.apache.commons.statistics.distribution.DiscreteDistribution.Sampler: Generates a random value sampled from this distribution.
sample(int) - Method in class org.apache.commons.math4.distribution.EnumeratedDistribution.Sampler: Generates a random sample from the distribution.
sample(int, MultivariateRealDistribution.Sampler) - Static method in class org.apache.commons.math4.distribution.AbstractMultivariateRealDistribution: Utility function for creating n vectors generated by the given sampler.
sample(int, ContinuousDistribution.Sampler) - Static method in class org.apache.commons.math4.distribution.AbstractRealDistribution: Utility function for allocating an array and filling it with n samples generated by the given sampler.
sample(int, DiscreteDistribution.Sampler) - Static method in class org.apache.commons.math4.distribution.AbstractIntegerDistribution: Utility function for allocating an array and filling it with n samples generated by the given sampler.
sample(int, T[]) - Method in class org.apache.commons.math4.distribution.EnumeratedDistribution.Sampler: Generates a random sample from the distribution.
sample(UnivariateFunction, double, double, int) - Static method in class org.apache.commons.math4.analysis.FunctionUtils: Samples the specified univariate real function on the specified interval.
sample(UniformRandomProvider, List<T>, int) - Static method in class org.apache.commons.rng.sampling.ListSampler: Generates a list of size k whose entries are selected randomly, without repetition, from the items in the given collection.
SAMPLE_SIZE_EXCEEDS_COLLECTION_SIZE - org.apache.commons.math4.exception.util.LocalizedFormats
SAMPLE_SIZE_LARGER_THAN_POPULATION_SIZE - org.apache.commons.math4.exception.util.LocalizedFormats
SamplerBase - Class in org.apache.commons.rng.sampling.distribution: Deprecated.
Since version 1.1. Class intended for internal use only.
SamplerBase(UniformRandomProvider) - Constructor for class org.apache.commons.rng.sampling.distribution.SamplerBase: Deprecated.
saveState() - Method in class org.apache.commons.rng.core.BaseProvider: Saves the state of a generator.
saveState() - Method in interface org.apache.commons.rng.RestorableUniformRandomProvider: Saves the state of a generator.
scalarAdd(double) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Returns the result of adding d to each entry of this.
scalarAdd(double) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Returns the result of adding d to each entry of this.
scalarAdd(double) - Method in interface org.apache.commons.math4.linear.RealMatrix: Returns the result of adding d to each entry of this.
scalarAdd(T) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Increment each entry of this matrix.
scalarAdd(T) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Increment each entry of this matrix.
scalarAdd(T) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Increment each entry of this matrix.
scalarMultiply(double) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Returns the result of multiplying each entry of this by d.
scalarMultiply(double) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Returns the result of multiplying each entry of this by d.
scalarMultiply(double) - Method in interface org.apache.commons.math4.linear.RealMatrix: Returns the result of multiplying each entry of this by d.
scalarMultiply(T) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Multiply each entry by d.
scalarMultiply(T) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Multiply each entry by d.
scalarMultiply(T) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Multiply each entry by d.
scalb(double, int) - Static method in class org.apache.commons.math4.util.FastMath: Multiply a double number by a power of 2.
scalb(float, int) - Static method in class org.apache.commons.math4.util.FastMath: Multiply a float number by a power of 2.
scalb(int) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Multiply the instance by a power of 2.
scalb(int) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Multiply the instance by a power of 2.
scalb(int) - Method in interface org.apache.commons.math4.RealFieldElement: Multiply the instance by a power of 2.
scalb(int) - Method in class org.apache.commons.math4.util.Decimal64: Multiply the instance by a power of 2.
scale(double, double[]) - Static method in class org.apache.commons.math4.util.MathArrays: Create a copy of an array scaled by a value.
SCALE - org.apache.commons.math4.exception.util.LocalizedFormats
scaleInPlace(double, double[]) - Static method in class org.apache.commons.math4.util.MathArrays: Multiply each element of an array by a value.
scramble(int, int, int, int) - Method in class org.apache.commons.math4.random.HaltonSequenceGenerator: Performs scrambling of digit d_j according to the formula:
SecantSolver - Class in org.apache.commons.math4.analysis.solvers: Implements the Secant method for root-finding (approximating a zero of a univariate real function).
SecantSolver() - Constructor for class org.apache.commons.math4.analysis.solvers.SecantSolver: Construct a solver with default accuracy (1e-6).
SecantSolver(double) - Constructor for class org.apache.commons.math4.analysis.solvers.SecantSolver: Construct a solver.
SecantSolver(double, double) - Constructor for class org.apache.commons.math4.analysis.solvers.SecantSolver: Construct a solver.
SecondMoment - Class in org.apache.commons.math4.stat.descriptive.moment: Computes a statistic related to the Second Central Moment.
SecondMoment() - Constructor for class org.apache.commons.math4.stat.descriptive.moment.SecondMoment: Create a SecondMoment instance.
SecondMoment(SecondMoment) - Constructor for class org.apache.commons.math4.stat.descriptive.moment.SecondMoment: Copy constructor, creates a new SecondMoment identical to the original.
SeedConverter<IN,OUT> - Interface in org.apache.commons.rng.simple.internal: Seed converter.
SeedConverterComposer<IN,TRANS,OUT> - Class in org.apache.commons.rng.simple.internal: Composes two converters.
SeedConverterComposer(SeedConverter<IN, TRANS>, SeedConverter<TRANS, OUT>) - Constructor for class org.apache.commons.rng.simple.internal.SeedConverterComposer
SeedFactory - Class in org.apache.commons.rng.simple.internal: Utilities related to seeding.
select(double[], int[], int) - Method in class org.apache.commons.math4.util.KthSelector: Select K^th value in the array.
SemiVariance - Class in org.apache.commons.math4.stat.descriptive.moment: Computes the semivariance of a set of values with respect to a given cutoff value.
SemiVariance() - Constructor for class org.apache.commons.math4.stat.descriptive.moment.SemiVariance: Constructs a SemiVariance with default (true) biasCorrected property and default (Downside) varianceDirection property.
SemiVariance(boolean) - Constructor for class org.apache.commons.math4.stat.descriptive.moment.SemiVariance: Constructs a SemiVariance with the specified biasCorrected property and default (Downside) varianceDirection property.
SemiVariance(boolean, SemiVariance.Direction) - Constructor for class org.apache.commons.math4.stat.descriptive.moment.SemiVariance: Constructs a SemiVariance with the specified isBiasCorrected property and the specified Direction property.
SemiVariance(SemiVariance) - Constructor for class org.apache.commons.math4.stat.descriptive.moment.SemiVariance: Copy constructor, creates a new SemiVariance identical to the original.
SemiVariance(SemiVariance.Direction) - Constructor for class org.apache.commons.math4.stat.descriptive.moment.SemiVariance: Constructs a SemiVariance with the specified Direction property and default (true) biasCorrected property
SemiVariance.Direction - Enum in org.apache.commons.math4.stat.descriptive.moment: The direction of the semivariance - either upside or downside.
sequence(int, int, int) - Static method in class org.apache.commons.math4.util.MathArrays: Returns an array of size integers starting at start, skipping stride numbers.
SEQUENTIAL - org.apache.commons.math4.stat.ranking.TiesStrategy: Ties assigned sequential ranks in order of occurrence
serializeRealMatrix(RealMatrix, ObjectOutputStream) - Static method in class org.apache.commons.math4.linear.MatrixUtils: Serialize a RealMatrix.
serializeRealVector(RealVector, ObjectOutputStream) - Static method in class org.apache.commons.math4.linear.MatrixUtils: Serialize a RealVector.
set(double) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Set all elements to a single value.
set(double) - Method in class org.apache.commons.math4.linear.OpenMapRealVector: Set all elements to a single value.
set(double) - Method in class org.apache.commons.math4.linear.RealVector: Set all elements to a single value.
set(int, ArrayFieldVector<T>) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Set a set of consecutive elements.
set(T) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Set all elements to a single value.
set(T) - Method in interface org.apache.commons.math4.linear.FieldVector: Set all elements to a single value.
set(T) - Method in class org.apache.commons.math4.linear.SparseFieldVector: Set all elements to a single value.
setBiasCorrected(boolean) - Method in class org.apache.commons.math4.stat.descriptive.moment.SemiVariance: Sets the biasCorrected property.
setBiasCorrected(boolean) - Method in class org.apache.commons.math4.stat.descriptive.moment.StandardDeviation
setBiasCorrected(boolean) - Method in class org.apache.commons.math4.stat.descriptive.moment.Variance
setColumn(int, double[]) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Sets the specified column of this matrix to the entries of the specified array.
setColumn(int, double[]) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Sets the specified column of this matrix to the entries of the specified array.
setColumn(int, double[]) - Method in interface org.apache.commons.math4.linear.RealMatrix: Sets the specified column of this matrix to the entries of the specified array.
setColumn(int, T[]) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Set the entries in column number column as a column matrix.
setColumn(int, T[]) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Set the entries in column number column as a column matrix.
setColumn(int, T[]) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Set the entries in column number column as a column matrix.
setColumnMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Set the entries in column number column as a column matrix.
setColumnMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Set the entries in column number column as a column matrix.
setColumnMatrix(int, FieldMatrix<T>) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Set the entries in column number column as a column matrix.
setColumnMatrix(int, RealMatrix) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Sets the specified column of this matrix to the entries of the specified column matrix.
setColumnMatrix(int, RealMatrix) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Sets the specified column of this matrix to the entries of the specified column matrix.
setColumnMatrix(int, RealMatrix) - Method in interface org.apache.commons.math4.linear.RealMatrix: Sets the specified column of this matrix to the entries of the specified column matrix.
setColumnVector(int, FieldVector<T>) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Set the entries in column number column as a vector.
setColumnVector(int, FieldVector<T>) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Set the entries in column number column as a vector.
setColumnVector(int, FieldVector<T>) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Set the entries in column number column as a vector.
setColumnVector(int, RealVector) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Sets the specified column of this matrix to the entries of the specified vector.
setColumnVector(int, RealVector) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Sets the specified column of this matrix to the entries of the specified vector.
setColumnVector(int, RealVector) - Method in interface org.apache.commons.math4.linear.RealMatrix: Sets the specified column of this matrix to the entries of the specified vector.
setData(double[]) - Method in class org.apache.commons.math4.stat.descriptive.AbstractUnivariateStatistic: Set the data array.
setData(double[]) - Method in class org.apache.commons.math4.stat.descriptive.rank.Percentile: Set the data array.
setData(double[], int, int) - Method in class org.apache.commons.math4.stat.descriptive.AbstractUnivariateStatistic: Set the data array.
setData(double[], int, int) - Method in class org.apache.commons.math4.stat.descriptive.rank.Percentile: Set the data array.
setDenominatorFormat(NumberFormat) - Method in class org.apache.commons.numbers.fraction.AbstractFormat: Modify the denominator format.
setElement(int, double) - Method in interface org.apache.commons.math4.util.DoubleArray: Sets the element at the specified index.
setElement(int, double) - Method in class org.apache.commons.math4.util.ResizableDoubleArray: Sets the element at the specified index.
setEntry(int, double) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Set a single element.
setEntry(int, double) - Method in class org.apache.commons.math4.linear.OpenMapRealVector: Set a single element.
setEntry(int, double) - Method in class org.apache.commons.math4.linear.RealVector: Set a single element.
setEntry(int, int, double) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Set the entry in the specified row and column.
setEntry(int, int, double) - Method in class org.apache.commons.math4.linear.Array2DRowRealMatrix: Set the entry in the specified row and column.
setEntry(int, int, double) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Set the entry in the specified row and column.
setEntry(int, int, double) - Method in class org.apache.commons.math4.linear.DiagonalMatrix: Set the entry in the specified row and column.
setEntry(int, int, double) - Method in class org.apache.commons.math4.linear.OpenMapRealMatrix: Set the entry in the specified row and column.
setEntry(int, int, double) - Method in interface org.apache.commons.math4.linear.RealMatrix: Set the entry in the specified row and column.
setEntry(int, int, T) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Set the entry in the specified row and column.
setEntry(int, int, T) - Method in class org.apache.commons.math4.linear.Array2DRowFieldMatrix: Set the entry in the specified row and column.
setEntry(int, int, T) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Set the entry in the specified row and column.
setEntry(int, int, T) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Set the entry in the specified row and column.
setEntry(int, int, T) - Method in class org.apache.commons.math4.linear.SparseFieldMatrix: Set the entry in the specified row and column.
setEntry(int, T) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Set a single element.
setEntry(int, T) - Method in interface org.apache.commons.math4.linear.FieldVector: Set a single element.
setEntry(int, T) - Method in class org.apache.commons.math4.linear.SparseFieldVector: Set a single element.
setGeoMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Sets the implementation for the geometric mean.
setGeoMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: Sets the implementation for the geometric mean.
setGeoMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics: Sets the implementation for the geometric mean.
setGeoMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics: Sets the implementation for the geometric mean.
setGeometricMeanImpl(UnivariateStatistic) - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Sets the implementation for the geometric mean.
setIndex(int) - Method in class org.apache.commons.math4.linear.RealVector.Entry: Set the index of the entry.
setKurtosisImpl(UnivariateStatistic) - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Sets the implementation for the kurtosis.
setMaximalCount(int) - Method in class org.apache.commons.math4.util.Incrementor: Deprecated.

Sets the upper limit for the counter.
setMaxImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Sets the implementation for the maximum.
setMaxImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: Sets the implementation for the maximum.
setMaxImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics: Sets the implementation for the maximum.
setMaxImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics: Sets the implementation for the maximum.
setMaxImpl(UnivariateStatistic) - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Sets the implementation for the maximum.
setMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Sets the implementation for the mean.
setMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: Sets the implementation for the mean.
setMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics: Sets the implementation for the mean.
setMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics: Sets the implementation for the mean.
setMeanImpl(UnivariateStatistic) - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Sets the implementation for the mean.
setMinImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Sets the implementation for the minimum.
setMinImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: Sets the implementation for the minimum.
setMinImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics: Sets the implementation for the minimum.
setMinImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics: Sets the implementation for the minimum.
setMinImpl(UnivariateStatistic) - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Sets the implementation for the minimum.
setNoIntercept(boolean) - Method in class org.apache.commons.math4.stat.regression.AbstractMultipleLinearRegression
setNumElements(int) - Method in class org.apache.commons.math4.util.ResizableDoubleArray: This function allows you to control the number of elements contained in this array, and can be used to "throw out" the last n values in an array.
setNumeratorFormat(NumberFormat) - Method in class org.apache.commons.numbers.fraction.AbstractFormat: Modify the numerator format.
setPercentileImpl(UnivariateStatistic) - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Sets the implementation to be used by DescriptiveStatistics.getPercentile(double).
setQuantile(double) - Method in class org.apache.commons.math4.stat.descriptive.rank.Percentile: Sets the value of the quantile field (determines what percentile is computed when evaluate() is called with no quantile argument).
setRoundingMode(RoundingMode) - Method in class org.apache.commons.math4.util.BigReal: Sets the rounding mode for decimal divisions.
setRow(int, double[]) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Sets the specified row of this matrix to the entries of the specified array.
setRow(int, double[]) - Method in class org.apache.commons.math4.linear.Array2DRowRealMatrix: Sets the specified row of this matrix to the entries of the specified array.
setRow(int, double[]) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Sets the specified row of this matrix to the entries of the specified array.
setRow(int, double[]) - Method in interface org.apache.commons.math4.linear.RealMatrix: Sets the specified row of this matrix to the entries of the specified array.
setRow(int, T[]) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Set the entries in row number row as a row matrix.
setRow(int, T[]) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Set the entries in row number row as a row matrix.
setRow(int, T[]) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Set the entries in row number row as a row matrix.
setRowMatrix(int, BlockFieldMatrix<T>) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Sets the entries in row number row as a row matrix.
setRowMatrix(int, BlockRealMatrix) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Sets the entries in row number row as a row matrix.
setRowMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Set the entries in row number row as a row matrix.
setRowMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Set the entries in row number row as a row matrix.
setRowMatrix(int, FieldMatrix<T>) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Set the entries in row number row as a row matrix.
setRowMatrix(int, RealMatrix) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Sets the specified row of this matrix to the entries of the specified row matrix.
setRowMatrix(int, RealMatrix) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Sets the specified row of this matrix to the entries of the specified row matrix.
setRowMatrix(int, RealMatrix) - Method in interface org.apache.commons.math4.linear.RealMatrix: Sets the specified row of this matrix to the entries of the specified row matrix.
setRowVector(int, FieldVector<T>) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Set the entries in row number row as a vector.
setRowVector(int, FieldVector<T>) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Set the entries in row number row as a vector.
setRowVector(int, FieldVector<T>) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Set the entries in row number row as a vector.
setRowVector(int, RealVector) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Sets the specified row of this matrix to the entries of the specified vector.
setRowVector(int, RealVector) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Sets the specified row of this matrix to the entries of the specified vector.
setRowVector(int, RealVector) - Method in interface org.apache.commons.math4.linear.RealMatrix: Sets the specified row of this matrix to the entries of the specified vector.
setScale(int) - Method in class org.apache.commons.math4.util.BigReal: Sets the scale for division operations.
setSeed(int) - Method in interface org.apache.commons.math4.random.RandomGenerator: Deprecated.

Sets the seed of the underlying random number generator using an int seed.
setSeed(int) - Method in class org.apache.commons.math4.random.RngAdaptor: Deprecated.

Sets the seed of the underlying random number generator using an int seed.
setSeed(int) - Method in class org.apache.commons.math4.random.SynchronizedRandomGenerator: Deprecated.

Sets the seed of the underlying random number generator using an int seed.
setSeed(int[]) - Method in interface org.apache.commons.math4.random.RandomGenerator: Deprecated.

Sets the seed of the underlying random number generator using an int array seed.
setSeed(int[]) - Method in class org.apache.commons.math4.random.RngAdaptor: Deprecated.

Sets the seed of the underlying random number generator using an int array seed.
setSeed(int[]) - Method in class org.apache.commons.math4.random.SynchronizedRandomGenerator: Deprecated.

Sets the seed of the underlying random number generator using an int array seed.
setSeed(long) - Method in interface org.apache.commons.math4.random.RandomGenerator: Deprecated.

Sets the seed of the underlying random number generator using a long seed.
setSeed(long) - Method in class org.apache.commons.math4.random.RngAdaptor: Deprecated.

Sets the seed of the underlying random number generator using a long seed.
setSeed(long) - Method in class org.apache.commons.math4.random.SynchronizedRandomGenerator: Deprecated.

Sets the seed of the underlying random number generator using a long seed.
setSeed(long) - Method in class org.apache.commons.rng.simple.JDKRandomBridge
setSkewnessImpl(UnivariateStatistic) - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Sets the implementation for the skewness.
setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.BaseProvider: Resets the RNG to the given state.
setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source32.AbstractWell: Resets the RNG to the given state.
setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source32.IntProvider: Resets the RNG to the given state.
setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source32.ISAACRandom: Resets the RNG to the given state.
setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source32.JDKRandom: Resets the RNG to the given state.
setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source32.KISSRandom: Resets the RNG to the given state.
setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source32.MersenneTwister: Resets the RNG to the given state.
setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source32.MultiplyWithCarry256: Resets the RNG to the given state.
setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source64.LongProvider: Resets the RNG to the given state.
setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source64.MersenneTwister64: Resets the RNG to the given state.
setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source64.SplitMix64: Resets the RNG to the given state.
setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source64.TwoCmres: Resets the RNG to the given state.
setStateInternal(byte[]) - Method in class org.apache.commons.rng.core.source64.XorShift1024Star: Resets the RNG to the given state.
setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Replace the submatrix starting at row, column using data in the input subMatrix array.
setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math4.linear.Array2DRowRealMatrix: Replace the submatrix starting at row, column using data in the input subMatrix array.
setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Replace the submatrix starting at row, column using data in the input subMatrix array.
setSubMatrix(double[][], int, int) - Method in interface org.apache.commons.math4.linear.RealMatrix: Replace the submatrix starting at row, column using data in the input subMatrix array.
setSubMatrix(T[][], int, int) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Replace the submatrix starting at (row, column) using data in the input subMatrix array.
setSubMatrix(T[][], int, int) - Method in class org.apache.commons.math4.linear.Array2DRowFieldMatrix: Replace the submatrix starting at (row, column) using data in the input subMatrix array.
setSubMatrix(T[][], int, int) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Replace the submatrix starting at (row, column) using data in the input subMatrix array.
setSubMatrix(T[][], int, int) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Replace the submatrix starting at (row, column) using data in the input subMatrix array.
setSubVector(int, double[]) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Set a set of consecutive elements.
setSubVector(int, FieldVector<T>) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Set a set of consecutive elements.
setSubVector(int, FieldVector<T>) - Method in interface org.apache.commons.math4.linear.FieldVector: Set a set of consecutive elements.
setSubVector(int, FieldVector<T>) - Method in class org.apache.commons.math4.linear.SparseFieldVector: Set a set of consecutive elements.
setSubVector(int, RealVector) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Set a sequence of consecutive elements.
setSubVector(int, RealVector) - Method in class org.apache.commons.math4.linear.OpenMapRealVector: Set a sequence of consecutive elements.
setSubVector(int, RealVector) - Method in class org.apache.commons.math4.linear.RealVector: Set a sequence of consecutive elements.
setSumImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Sets the implementation for the Sum.
setSumImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: Sets the implementation for the Sum.
setSumImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics: Sets the implementation for the Sum.
setSumImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics: Sets the implementation for the Sum.
setSumImpl(UnivariateStatistic) - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Sets the implementation for the sum.
setSumLogImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math4.stat.descriptive.moment.GeometricMean: Sets the implementation for the sum of logs.
setSumLogImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Sets the implementation for the sum of logs.
setSumLogImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: Sets the implementation for the sum of logs.
setSumLogImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics: Sets the implementation for the sum of logs.
setSumLogImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics: Sets the implementation for the sum of logs.
setSumsqImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Sets the implementation for the sum of squares.
setSumsqImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: Sets the implementation for the sum of squares.
setSumsqImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics: Sets the implementation for the sum of squares.
setSumsqImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics: Sets the implementation for the sum of squares.
setSumsqImpl(UnivariateStatistic) - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Sets the implementation for the sum of squares.
setup(int, FUNC, double, double, double) - Method in class org.apache.commons.math4.analysis.solvers.BaseAbstractUnivariateSolver: Prepare for computation.
setup(int, UnivariateDifferentiableFunction, double, double, double) - Method in class org.apache.commons.math4.analysis.solvers.AbstractUnivariateDifferentiableSolver: Prepare for computation.
setup(int, PolynomialFunction, double, double, double) - Method in class org.apache.commons.math4.analysis.solvers.AbstractPolynomialSolver: Prepare for computation.
setup(int, UnivariateFunction, double, double) - Method in class org.apache.commons.math4.analysis.integration.BaseAbstractUnivariateIntegrator: Prepare for computation.
setValue(double) - Method in class org.apache.commons.math4.linear.OpenMapRealVector.OpenMapEntry: Set the value of the entry.
setValue(double) - Method in class org.apache.commons.math4.linear.RealVector.Entry: Set the value of the entry.
setValue(String, Object) - Method in class org.apache.commons.math4.exception.util.ExceptionContext: Sets the context (key, value) pair.
setVarianceDirection(SemiVariance.Direction) - Method in class org.apache.commons.math4.stat.descriptive.moment.SemiVariance: Sets the variance direction
setVarianceImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Sets the implementation for the variance.
setVarianceImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: Sets the implementation for the variance.
setVarianceImpl(UnivariateStatistic) - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Sets the implementation for the variance.
setWholeFormat(NumberFormat) - Method in class org.apache.commons.numbers.fraction.ProperBigFractionFormat: Modify the whole format.
setWholeFormat(NumberFormat) - Method in class org.apache.commons.numbers.fraction.ProperFractionFormat: Modify the whole format.
setWindowSize(int) - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: WindowSize controls the number of values that contribute to the reported statistics.
setWindowSize(int) - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedDescriptiveStatistics: WindowSize controls the number of values that contribute to the reported statistics.
SHAPE - org.apache.commons.math4.exception.util.LocalizedFormats
shift(double[], double) - Static method in class org.apache.commons.math4.analysis.polynomials.PolynomialsUtils: Compute the coefficients of the polynomial \(P_s(x)\) whose values at point x will be the same as the those from the original polynomial \(P(x)\) when computed at x + shift.
shortValue() - Method in class org.apache.commons.math4.util.Decimal64: The current implementation performs casting to a short.
shuffle(UniformRandomProvider, int[]) - Static method in class org.apache.commons.rng.sampling.PermutationSampler: Shuffles the entries of the given array.
shuffle(UniformRandomProvider, int[], int, boolean) - Static method in class org.apache.commons.rng.sampling.PermutationSampler: Shuffles the entries of the given array, using the Fisher-Yates algorithm.
shuffle(UniformRandomProvider, List<T>) - Static method in class org.apache.commons.rng.sampling.ListSampler: Shuffles the entries of the given array.
shuffle(UniformRandomProvider, List<T>, int, boolean) - Static method in class org.apache.commons.rng.sampling.ListSampler: Shuffles the entries of the given array, using the Fisher-Yates algorithm.
Sigmoid - Class in org.apache.commons.math4.analysis.function: Sigmoid function.
Sigmoid() - Constructor for class org.apache.commons.math4.analysis.function.Sigmoid: Usual sigmoid function, where the lower asymptote is 0 and the higher asymptote is 1.
Sigmoid(double, double) - Constructor for class org.apache.commons.math4.analysis.function.Sigmoid: Sigmoid function.
Sigmoid.Parametric - Class in org.apache.commons.math4.analysis.function: Parametric function where the input array contains the parameters of the sigmoid function, ordered as follows: Lower asymptote Higher asymptote
SIGNIFICANCE_LEVEL - org.apache.commons.math4.exception.util.LocalizedFormats
signum() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Compute the signum of the instance.
signum() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Compute the signum of the instance.
signum() - Method in interface org.apache.commons.math4.RealFieldElement: Compute the signum of the instance.
signum() - Method in class org.apache.commons.math4.util.Decimal64: Compute the signum of the instance.
signum(double) - Static method in class org.apache.commons.math4.util.FastMath: Compute the signum of a number.
signum(float) - Static method in class org.apache.commons.math4.util.FastMath: Compute the signum of a number.
Signum - Class in org.apache.commons.math4.analysis.function: signum function.
Signum() - Constructor for class org.apache.commons.math4.analysis.function.Signum
SIMPLE_MESSAGE - org.apache.commons.math4.exception.util.LocalizedFormats
SimpleRegression - Class in org.apache.commons.math4.stat.regression: Estimates an ordinary least squares regression model with one independent variable.
SimpleRegression() - Constructor for class org.apache.commons.math4.stat.regression.SimpleRegression: Create an empty SimpleRegression instance
SimpleRegression(boolean) - Constructor for class org.apache.commons.math4.stat.regression.SimpleRegression: Create a SimpleRegression instance, specifying whether or not to estimate an intercept.
SIMPLEX_NEED_ONE_POINT - org.apache.commons.math4.exception.util.LocalizedFormats
SIMPSON_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math4.analysis.integration.SimpsonIntegrator: Maximal number of iterations for Simpson.
SimpsonIntegrator - Class in org.apache.commons.math4.analysis.integration: Implements Simpson's Rule for integration of real univariate functions.
SimpsonIntegrator() - Constructor for class org.apache.commons.math4.analysis.integration.SimpsonIntegrator: Construct an integrator with default settings.
SimpsonIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math4.analysis.integration.SimpsonIntegrator: Build a Simpson integrator with given accuracies and iterations counts.
SimpsonIntegrator(int, int) - Constructor for class org.apache.commons.math4.analysis.integration.SimpsonIntegrator: Build a Simpson integrator with given iteration counts.
sin() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Sine operation.
sin() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Sine operation.
sin() - Method in interface org.apache.commons.math4.RealFieldElement: Sine operation.
sin() - Method in class org.apache.commons.math4.util.Decimal64: Sine operation.
sin() - Method in class org.apache.commons.numbers.complex.Complex: Compute the sine of this complex number.
sin(double) - Static method in class org.apache.commons.math4.util.FastMath: Sine function.
sin(double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Compute sine of a derivative structure.
Sin - Class in org.apache.commons.math4.analysis.function: Sine function.
Sin() - Constructor for class org.apache.commons.math4.analysis.function.Sin
Sinc - Class in org.apache.commons.math4.analysis.function: Sinc function, defined by
Sinc() - Constructor for class org.apache.commons.math4.analysis.function.Sinc: The sinc function, sin(x) / x.
Sinc(boolean) - Constructor for class org.apache.commons.math4.analysis.function.Sinc: Instantiates the sinc function.
SINGULAR_MATRIX - org.apache.commons.math4.exception.util.LocalizedFormats
SINGULAR_OPERATOR - org.apache.commons.math4.exception.util.LocalizedFormats
SingularMatrixException - Exception in org.apache.commons.math4.linear: Exception to be thrown when a non-singular matrix is expected.
SingularMatrixException() - Constructor for exception org.apache.commons.math4.linear.SingularMatrixException: Construct an exception.
SingularOperatorException - Exception in org.apache.commons.math4.linear: Exception to be thrown when trying to invert a singular operator.
SingularOperatorException() - Constructor for exception org.apache.commons.math4.linear.SingularOperatorException: Creates a new instance of this class.
SingularValueDecomposition - Class in org.apache.commons.math4.linear: Calculates the compact Singular Value Decomposition of a matrix.
SingularValueDecomposition(RealMatrix) - Constructor for class org.apache.commons.math4.linear.SingularValueDecomposition: Calculates the compact Singular Value Decomposition of the given matrix.
sinh() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Hyperbolic sine operation.
sinh() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Hyperbolic sine operation.
sinh() - Method in interface org.apache.commons.math4.RealFieldElement: Hyperbolic sine operation.
sinh() - Method in class org.apache.commons.math4.util.Decimal64: Hyperbolic sine operation.
sinh() - Method in class org.apache.commons.numbers.complex.Complex: Compute the hyperbolic sine of this complex number.
sinh(double) - Static method in class org.apache.commons.math4.util.FastMath: Compute the hyperbolic sine of a number.
sinh(double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Compute hyperbolic sine of a derivative structure.
Sinh - Class in org.apache.commons.math4.analysis.function: Hyperbolic sine function.
Sinh() - Constructor for class org.apache.commons.math4.analysis.function.Sinh
size() - Method in class org.apache.commons.math4.util.IntegerSequence.Range: Gets the number of elements contained in the range.
size() - Method in class org.apache.commons.math4.util.OpenIntToDoubleHashMap: Get the number of elements stored in the map.
size() - Method in class org.apache.commons.math4.util.OpenIntToFieldHashMap: Get the number of elements stored in the map.
Skewness - Class in org.apache.commons.math4.stat.descriptive.moment: Computes the skewness of the available values.
Skewness() - Constructor for class org.apache.commons.math4.stat.descriptive.moment.Skewness: Constructs a Skewness.
Skewness(Skewness) - Constructor for class org.apache.commons.math4.stat.descriptive.moment.Skewness: Copy constructor, creates a new Skewness identical to the original.
Skewness(ThirdMoment) - Constructor for class org.apache.commons.math4.stat.descriptive.moment.Skewness: Constructs a Skewness with an external moment.
skipTo(int) - Method in class org.apache.commons.math4.random.HaltonSequenceGenerator: Skip to the i-th point in the Halton sequence.
skipTo(int) - Method in class org.apache.commons.math4.random.SobolSequenceGenerator: Skip to the i-th point in the Sobol sequence.
SmallMeanPoissonSampler - Class in org.apache.commons.rng.sampling.distribution: Sampler for the Poisson distribution.
SmallMeanPoissonSampler(UniformRandomProvider, double) - Constructor for class org.apache.commons.rng.sampling.distribution.SmallMeanPoissonSampler
smooth(double[], double[]) - Method in class org.apache.commons.math4.analysis.interpolation.LoessInterpolator: Compute a loess fit on the data at the original abscissae.
smooth(double[], double[], double[]) - Method in class org.apache.commons.math4.analysis.interpolation.LoessInterpolator: Compute a weighted loess fit on the data at the original abscissae.
SobolSequenceGenerator - Class in org.apache.commons.math4.random: Implementation of a Sobol sequence.
SobolSequenceGenerator(int) - Constructor for class org.apache.commons.math4.random.SobolSequenceGenerator: Construct a new Sobol sequence generator for the given space dimension.
SobolSequenceGenerator(int, InputStream) - Constructor for class org.apache.commons.math4.random.SobolSequenceGenerator: Construct a new Sobol sequence generator for the given space dimension with direction vectors loaded from the given stream.
solve(int, FUNC, double) - Method in class org.apache.commons.math4.analysis.solvers.BaseAbstractUnivariateSolver: Solve for a zero in the vicinity of startValue.
solve(int, FUNC, double) - Method in interface org.apache.commons.math4.analysis.solvers.BaseUnivariateSolver: Solve for a zero in the vicinity of startValue.
solve(int, FUNC, double, double) - Method in class org.apache.commons.math4.analysis.solvers.BaseAbstractUnivariateSolver: Solve for a zero root in the given interval.
solve(int, FUNC, double, double) - Method in interface org.apache.commons.math4.analysis.solvers.BaseUnivariateSolver: Solve for a zero root in the given interval.
solve(int, FUNC, double, double, double) - Method in class org.apache.commons.math4.analysis.solvers.BaseAbstractUnivariateSolver: Solve for a zero in the given interval, start at startValue.
solve(int, FUNC, double, double, double) - Method in interface org.apache.commons.math4.analysis.solvers.BaseUnivariateSolver: Solve for a zero in the given interval, start at startValue.
solve(int, FUNC, double, double, double, AllowedSolution) - Method in interface org.apache.commons.math4.analysis.solvers.BracketedUnivariateSolver: Solve for a zero in the given interval, start at startValue.
solve(int, FUNC, double, double, AllowedSolution) - Method in interface org.apache.commons.math4.analysis.solvers.BracketedUnivariateSolver: Solve for a zero in the given interval.
solve(int, UnivariateDifferentiableFunction, double, double) - Method in class org.apache.commons.math4.analysis.solvers.NewtonRaphsonSolver: Find a zero near the midpoint of min and max.
solve(int, RealFieldUnivariateFunction<T>, T, T, AllowedSolution) - Method in interface org.apache.commons.math4.analysis.solvers.BracketedRealFieldUnivariateSolver: Solve for a zero in the given interval.
solve(int, RealFieldUnivariateFunction<T>, T, T, AllowedSolution) - Method in class org.apache.commons.math4.analysis.solvers.FieldBracketingNthOrderBrentSolver: Solve for a zero in the given interval.
solve(int, RealFieldUnivariateFunction<T>, T, T, T, AllowedSolution) - Method in interface org.apache.commons.math4.analysis.solvers.BracketedRealFieldUnivariateSolver: Solve for a zero in the given interval, start at startValue.
solve(int, RealFieldUnivariateFunction<T>, T, T, T, AllowedSolution) - Method in class org.apache.commons.math4.analysis.solvers.FieldBracketingNthOrderBrentSolver: Solve for a zero in the given interval, start at startValue.
solve(int, UnivariateFunction, double, double, double) - Method in class org.apache.commons.math4.analysis.solvers.BaseSecantSolver: Solve for a zero in the given interval, start at startValue.
solve(int, UnivariateFunction, double, double, double, AllowedSolution) - Method in class org.apache.commons.math4.analysis.solvers.BaseSecantSolver: Solve for a zero in the given interval, start at startValue.
solve(int, UnivariateFunction, double, double, double, AllowedSolution) - Method in class org.apache.commons.math4.analysis.solvers.BracketingNthOrderBrentSolver: Solve for a zero in the given interval, start at startValue.
solve(int, UnivariateFunction, double, double, AllowedSolution) - Method in class org.apache.commons.math4.analysis.solvers.BaseSecantSolver: Solve for a zero in the given interval.
solve(int, UnivariateFunction, double, double, AllowedSolution) - Method in class org.apache.commons.math4.analysis.solvers.BracketingNthOrderBrentSolver: Solve for a zero in the given interval.
solve(UnivariateFunction, double, double) - Static method in class org.apache.commons.math4.analysis.solvers.UnivariateSolverUtils: Convenience method to find a zero of a univariate real function.
solve(UnivariateFunction, double, double, double) - Static method in class org.apache.commons.math4.analysis.solvers.UnivariateSolverUtils: Convenience method to find a zero of a univariate real function.
solve(FieldMatrix<T>) - Method in interface org.apache.commons.math4.linear.FieldDecompositionSolver: Solve the linear equation A × X = B for matrices A.
solve(FieldVector<T>) - Method in interface org.apache.commons.math4.linear.FieldDecompositionSolver: Solve the linear equation A × X = B for matrices A.
solve(RealLinearOperator, RealLinearOperator, RealVector) - Method in class org.apache.commons.math4.linear.PreconditionedIterativeLinearSolver: Returns an estimate of the solution to the linear system A · x = b.
solve(RealLinearOperator, RealLinearOperator, RealVector) - Method in class org.apache.commons.math4.linear.SymmLQ: Returns an estimate of the solution to the linear system A · x = b.
solve(RealLinearOperator, RealLinearOperator, RealVector, boolean, double) - Method in class org.apache.commons.math4.linear.SymmLQ: Returns an estimate of the solution to the linear system (A - shift · I) · x = b.
solve(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math4.linear.PreconditionedIterativeLinearSolver: Returns an estimate of the solution to the linear system A · x = b.
solve(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math4.linear.SymmLQ: Returns an estimate of the solution to the linear system A · x = b.
solve(RealLinearOperator, RealVector) - Method in class org.apache.commons.math4.linear.IterativeLinearSolver: Returns an estimate of the solution to the linear system A · x = b.
solve(RealLinearOperator, RealVector) - Method in class org.apache.commons.math4.linear.PreconditionedIterativeLinearSolver: Returns an estimate of the solution to the linear system A · x = b.
solve(RealLinearOperator, RealVector) - Method in class org.apache.commons.math4.linear.SymmLQ: Returns an estimate of the solution to the linear system A · x = b.
solve(RealLinearOperator, RealVector, boolean, double) - Method in class org.apache.commons.math4.linear.SymmLQ: Returns the solution to the system (A - shift · I) · x = b.
solve(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math4.linear.IterativeLinearSolver: Returns an estimate of the solution to the linear system A · x = b.
solve(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math4.linear.PreconditionedIterativeLinearSolver: Returns an estimate of the solution to the linear system A · x = b.
solve(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math4.linear.SymmLQ: Returns an estimate of the solution to the linear system A · x = b.
solve(RealMatrix) - Method in interface org.apache.commons.math4.linear.DecompositionSolver: Solve the linear equation A × X = B for matrices A.
solve(RealVector) - Method in interface org.apache.commons.math4.linear.DecompositionSolver: Solve the linear equation A × X = B for matrices A.
solveAllComplex(double[], double) - Method in class org.apache.commons.math4.analysis.solvers.LaguerreSolver: Find all complex roots for the polynomial with the given coefficients, starting from the given initial value.
solveComplex(double[], double) - Method in class org.apache.commons.math4.analysis.solvers.LaguerreSolver: Find a complex root for the polynomial with the given coefficients, starting from the given initial value.
solveInPlace(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math4.linear.ConjugateGradient: Returns an estimate of the solution to the linear system A · x = b.
solveInPlace(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math4.linear.PreconditionedIterativeLinearSolver: Returns an estimate of the solution to the linear system A · x = b.
solveInPlace(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math4.linear.SymmLQ: Returns an estimate of the solution to the linear system A · x = b.
solveInPlace(RealLinearOperator, RealLinearOperator, RealVector, RealVector, boolean, double) - Method in class org.apache.commons.math4.linear.SymmLQ: Returns an estimate of the solution to the linear system (A - shift · I) · x = b.
solveInPlace(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math4.linear.IterativeLinearSolver: Returns an estimate of the solution to the linear system A · x = b.
solveInPlace(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math4.linear.PreconditionedIterativeLinearSolver: Returns an estimate of the solution to the linear system A · x = b.
solveInPlace(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math4.linear.SymmLQ: Returns an estimate of the solution to the linear system A · x = b.
solveInverseCumulativeProbability(double, int, int) - Method in class org.apache.commons.math4.distribution.AbstractIntegerDistribution: This is a utility function used by AbstractIntegerDistribution.inverseCumulativeProbability(double).
solveLowerTriangularSystem(RealMatrix, RealVector) - Static method in class org.apache.commons.math4.linear.MatrixUtils: Solve a system of composed of a Lower Triangular Matrix RealMatrix.
SOLVER_DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math4.distribution.AbstractRealDistribution: Default absolute accuracy for inverse cumulative computation.
solveUpperTriangularSystem(RealMatrix, RealVector) - Static method in class org.apache.commons.math4.linear.MatrixUtils: Solver a system composed of an Upper Triangular Matrix RealMatrix.
sortInPlace(double[], double[]...) - Static method in class org.apache.commons.math4.util.MathArrays: Sort an array in ascending order in place and perform the same reordering of entries on other arrays.
sortInPlace(double[], MathArrays.OrderDirection, double[]...) - Static method in class org.apache.commons.math4.util.MathArrays: Sort an array in place and perform the same reordering of entries on other arrays.
SparseEntryIterator() - Constructor for class org.apache.commons.math4.linear.RealVector.SparseEntryIterator: Simple constructor.
SparseFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math4.linear: Sparse matrix implementation based on an open addressed map.
SparseFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math4.linear.SparseFieldMatrix: Create a matrix with no data.
SparseFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math4.linear.SparseFieldMatrix: Create a new SparseFieldMatrix<T> with the supplied row and column dimensions.
SparseFieldMatrix(FieldMatrix<T>) - Constructor for class org.apache.commons.math4.linear.SparseFieldMatrix: Generic copy constructor.
SparseFieldMatrix(SparseFieldMatrix<T>) - Constructor for class org.apache.commons.math4.linear.SparseFieldMatrix: Copy constructor.
SparseFieldVector<T extends FieldElement<T>> - Class in org.apache.commons.math4.linear: This class implements the FieldVector interface with a OpenIntToFieldHashMap backing store.
SparseFieldVector(Field<T>) - Constructor for class org.apache.commons.math4.linear.SparseFieldVector: Build a 0-length vector.
SparseFieldVector(Field<T>, int) - Constructor for class org.apache.commons.math4.linear.SparseFieldVector: Construct a vector of zeroes.
SparseFieldVector(Field<T>, int, int) - Constructor for class org.apache.commons.math4.linear.SparseFieldVector: Build a vector with known the sparseness (for advanced use only).
SparseFieldVector(Field<T>, T[]) - Constructor for class org.apache.commons.math4.linear.SparseFieldVector: Create from a Field array.
SparseFieldVector(SparseFieldVector<T>) - Constructor for class org.apache.commons.math4.linear.SparseFieldVector: Copy constructor.
SparseFieldVector(SparseFieldVector<T>, int) - Constructor for class org.apache.commons.math4.linear.SparseFieldVector: Build a resized vector, for use with append.
SparseGradient - Class in org.apache.commons.math4.analysis.differentiation: First derivative computation with large number of variables.
sparseIterator() - Method in class org.apache.commons.math4.linear.OpenMapRealVector: Create a sparse iterator over the vector, which may omit some entries.
sparseIterator() - Method in class org.apache.commons.math4.linear.RealVector: Create a sparse iterator over the vector, which may omit some entries.
SparseRealMatrix - Interface in org.apache.commons.math4.linear: Marker interface for RealMatrix implementations that require sparse backing storage
SparseRealVector - Class in org.apache.commons.math4.linear: Marker class for RealVectors that require sparse backing storage
SparseRealVector() - Constructor for class org.apache.commons.math4.linear.SparseRealVector
SpearmansCorrelation - Class in org.apache.commons.math4.stat.correlation: Spearman's rank correlation.
SpearmansCorrelation() - Constructor for class org.apache.commons.math4.stat.correlation.SpearmansCorrelation: Create a SpearmansCorrelation without data.
SpearmansCorrelation(RealMatrix) - Constructor for class org.apache.commons.math4.stat.correlation.SpearmansCorrelation: Create a SpearmansCorrelation from the given data matrix.
SpearmansCorrelation(RealMatrix, RankingAlgorithm) - Constructor for class org.apache.commons.math4.stat.correlation.SpearmansCorrelation: Create a SpearmansCorrelation with the given input data matrix and ranking algorithm.
SpearmansCorrelation(RankingAlgorithm) - Constructor for class org.apache.commons.math4.stat.correlation.SpearmansCorrelation: Create a SpearmansCorrelation with the given ranking algorithm.
SplineInterpolator - Class in org.apache.commons.math4.analysis.interpolation: Computes a natural (also known as "free", "unclamped") cubic spline interpolation for the data set.
SplineInterpolator() - Constructor for class org.apache.commons.math4.analysis.interpolation.SplineInterpolator
SPLIT_MIX_64 - org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is SplitMix64.
SPLIT_MIX_64 - org.apache.commons.rng.simple.RandomSource: Source of randomness is SplitMix64.
split2Complex(double[][][][], double[][][][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a 4D split complex array double[][][][] r, double[][][][] i to a 4D Complex[][][][] array.
split2Complex(double[][][], double[][][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a 3D split complex array double[][][] r, double[][][] i to a 3D Complex[][][] array.
split2Complex(double[][], double[][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a 2D split complex array double[][] r, double[][] i to a 2D Complex[][] array.
split2Complex(double[], double[]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a split complex array double[] r, double[] i to a Complex[] array.
split2Complex(float[][][], float[][][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a 3D split complex array float[][][] r, float[][][] i to a 3D Complex[][][] array.
split2Complex(float[][], float[][]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a 2D split complex array float[][] r, float[][] i to a 2D Complex[][] array.
split2Complex(float[], float[]) - Static method in class org.apache.commons.numbers.complex.streams.ComplexUtils: Converts a split complex array float[] r, float[] i to a Complex[] array.
SplitMix64 - Class in org.apache.commons.rng.core.source64: A fast RNG, with 64 bits of state, that can be used to initialize the state of other generators.
SplitMix64(Long) - Constructor for class org.apache.commons.rng.core.source64.SplitMix64: Creates a new instance.
splitStateInternal(byte[], int) - Method in class org.apache.commons.rng.core.BaseProvider: Splits the given state into a part to be consumed by the caller in order to restore its local state, while the reminder is passed to the parent class.
sqrt() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Square root.
sqrt() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Square root.
sqrt() - Method in class org.apache.commons.math4.linear.JacobiPreconditioner: Returns the square root of this diagonal operator.
sqrt() - Method in interface org.apache.commons.math4.RealFieldElement: Square root.
sqrt() - Method in class org.apache.commons.math4.util.Decimal64: Square root.
sqrt() - Method in class org.apache.commons.numbers.complex.Complex: Compute the square root of this complex number.
sqrt(double) - Static method in class org.apache.commons.math4.util.FastMath: Compute the square root of a number.
Sqrt - Class in org.apache.commons.math4.analysis.function: Square-root function.
Sqrt() - Constructor for class org.apache.commons.math4.analysis.function.Sqrt
square() - Method in class org.apache.commons.numbers.complex.Complex: Compute the square of this complex number.
StableRandomGenerator - Class in org.apache.commons.math4.random: This class provides a stable normalized random generator.
StableRandomGenerator(UniformRandomProvider, double, double) - Constructor for class org.apache.commons.math4.random.StableRandomGenerator: Create a new generator.
STANDARD_DEVIATION - org.apache.commons.math4.exception.util.LocalizedFormats
StandardDeviation - Class in org.apache.commons.math4.stat.descriptive.moment: Computes the sample standard deviation.
StandardDeviation() - Constructor for class org.apache.commons.math4.stat.descriptive.moment.StandardDeviation: Constructs a StandardDeviation.
StandardDeviation(boolean) - Constructor for class org.apache.commons.math4.stat.descriptive.moment.StandardDeviation: Constructs a StandardDeviation with the specified value for the isBiasCorrected property.
StandardDeviation(boolean, SecondMoment) - Constructor for class org.apache.commons.math4.stat.descriptive.moment.StandardDeviation: Constructs a StandardDeviation with the specified value for the isBiasCorrected property and the supplied external moment.
StandardDeviation(SecondMoment) - Constructor for class org.apache.commons.math4.stat.descriptive.moment.StandardDeviation: Constructs a StandardDeviation from an external second moment.
StandardDeviation(StandardDeviation) - Constructor for class org.apache.commons.math4.stat.descriptive.moment.StandardDeviation: Copy constructor, creates a new StandardDeviation identical to the original.
start(int, int, int) - Method in interface org.apache.commons.math4.linear.FieldVectorChangingVisitor: Start visiting a vector.
start(int, int, int) - Method in interface org.apache.commons.math4.linear.FieldVectorPreservingVisitor: Start visiting a vector.
start(int, int, int) - Method in interface org.apache.commons.math4.linear.RealVectorChangingVisitor: Start visiting a vector.
start(int, int, int) - Method in interface org.apache.commons.math4.linear.RealVectorPreservingVisitor: Start visiting a vector.
start(int, int, int, int, int, int) - Method in class org.apache.commons.math4.linear.DefaultFieldMatrixChangingVisitor: Start visiting a matrix.
start(int, int, int, int, int, int) - Method in class org.apache.commons.math4.linear.DefaultFieldMatrixPreservingVisitor: Start visiting a matrix.
start(int, int, int, int, int, int) - Method in class org.apache.commons.math4.linear.DefaultRealMatrixChangingVisitor: Start visiting a matrix.
start(int, int, int, int, int, int) - Method in class org.apache.commons.math4.linear.DefaultRealMatrixPreservingVisitor: Start visiting a matrix.
start(int, int, int, int, int, int) - Method in interface org.apache.commons.math4.linear.FieldMatrixChangingVisitor: Start visiting a matrix.
start(int, int, int, int, int, int) - Method in interface org.apache.commons.math4.linear.FieldMatrixPreservingVisitor: Start visiting a matrix.
start(int, int, int, int, int, int) - Method in interface org.apache.commons.math4.linear.RealMatrixChangingVisitor: Start visiting a matrix.
start(int, int, int, int, int, int) - Method in interface org.apache.commons.math4.linear.RealMatrixPreservingVisitor: Start visiting a matrix.
START_POSITION - org.apache.commons.math4.exception.util.LocalizedFormats
StatisticalMultivariateSummary - Interface in org.apache.commons.math4.stat.descriptive: Reporting interface for basic multivariate statistics.
StatisticalSummary - Interface in org.apache.commons.math4.stat.descriptive: Reporting interface for basic univariate statistics.
StatisticalSummaryValues - Class in org.apache.commons.math4.stat.descriptive: Value object representing the results of a univariate statistical summary.
StatisticalSummaryValues(double, double, long, double, double, double) - Constructor for class org.apache.commons.math4.stat.descriptive.StatisticalSummaryValues: Constructor
StatUtils - Class in org.apache.commons.math4.stat: StatUtils provides static methods for computing statistics based on data stored in double[] arrays.
StepFunction - Class in org.apache.commons.math4.analysis.function: Step function.
StepFunction(double[], double[]) - Constructor for class org.apache.commons.math4.analysis.function.StepFunction: Builds a step function from a list of arguments and the corresponding values.
stirlingS2(int, int) - Static method in class org.apache.commons.math4.util.CombinatoricsUtils: Returns the Stirling number of the second kind, "S(n,k)", the number of ways of partitioning an n-element set into k non-empty subsets.
StorelessCovariance - Class in org.apache.commons.math4.stat.correlation: Covariance implementation that does not require input data to be stored in memory.
StorelessCovariance(int) - Constructor for class org.apache.commons.math4.stat.correlation.StorelessCovariance: Create a bias corrected covariance matrix with a given dimension.
StorelessCovariance(int, boolean) - Constructor for class org.apache.commons.math4.stat.correlation.StorelessCovariance: Create a covariance matrix with a given number of rows and columns and the indicated bias correction.
StorelessUnivariateStatistic - Interface in org.apache.commons.math4.stat.descriptive: Extends the definition of UnivariateStatistic with StorelessUnivariateStatistic.increment(double) and StorelessUnivariateStatistic.incrementAll(double[]) methods for adding values and updating internal state.
subAndCheck(int, int) - Static method in class org.apache.commons.numbers.core.ArithmeticUtils: Subtract two integers, checking for overflow.
subAndCheck(long, long) - Static method in class org.apache.commons.numbers.core.ArithmeticUtils: Subtract two long integers, checking for overflow.
SUBARRAY_ENDS_AFTER_ARRAY_END - org.apache.commons.math4.exception.util.LocalizedFormats
substituteMostRecentElement(double) - Method in class org.apache.commons.math4.util.ResizableDoubleArray: Substitutes value for the most recently added value.
subtract(double) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: '-' operator.
subtract(double) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: '-' operator.
subtract(double) - Method in interface org.apache.commons.math4.RealFieldElement: '-' operator.
subtract(double) - Method in class org.apache.commons.math4.util.Decimal64: '-' operator.
subtract(double) - Method in class org.apache.commons.numbers.complex.Complex: Returns a Complex whose value is (this - subtrahend).
subtract(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Perform subtraction of two derivative structures.
subtract(int) - Method in class org.apache.commons.math4.fraction.BigFraction: Subtracts the value of an integer from the value of this BigFraction, returning the result in reduced form.
subtract(int) - Method in class org.apache.commons.math4.fraction.Fraction: Subtract an integer from the fraction.
subtract(int) - Method in class org.apache.commons.numbers.fraction.BigFraction: Subtracts the value of an integer from the value of this BigFraction, returning the result in reduced form.
subtract(int) - Method in class org.apache.commons.numbers.fraction.Fraction: Subtract an integer from the fraction.
subtract(long) - Method in class org.apache.commons.math4.fraction.BigFraction: Subtracts the value of a long from the value of this BigFraction, returning the result in reduced form.
subtract(long) - Method in class org.apache.commons.numbers.fraction.BigFraction: Subtracts the value of a long from the value of this BigFraction, returning the result in reduced form.
subtract(BigInteger) - Method in class org.apache.commons.math4.fraction.BigFraction: Subtracts the value of an BigInteger from the value of this BigFraction, returning the result in reduced form.
subtract(BigInteger) - Method in class org.apache.commons.numbers.fraction.BigFraction: Subtracts the value of an BigInteger from the value of this BigFraction, returning the result in reduced form.
subtract(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Compute this - a.
subtract(SparseGradient) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Compute this - a.
subtract(PolynomialFunction) - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunction: Subtract a polynomial from the instance.
subtract(BigFraction) - Method in class org.apache.commons.math4.fraction.BigFraction: Subtracts the value of another fraction from the value of this one, returning the result in reduced form.
subtract(Fraction) - Method in class org.apache.commons.math4.fraction.Fraction: Subtracts the value of another fraction from the value of this one, returning the result in reduced form.
subtract(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math4.linear.Array2DRowFieldMatrix: Subtract m from this matrix.
subtract(Array2DRowRealMatrix) - Method in class org.apache.commons.math4.linear.Array2DRowRealMatrix: Returns this minus m.
subtract(ArrayFieldVector<T>) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Compute this minus v.
subtract(BlockFieldMatrix<T>) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Compute this - m.
subtract(BlockRealMatrix) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Subtract m from this matrix.
subtract(DiagonalMatrix) - Method in class org.apache.commons.math4.linear.DiagonalMatrix: Returns this minus m.
subtract(FieldMatrix<T>) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Subtract m from this matrix.
subtract(FieldMatrix<T>) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Subtract m from this matrix.
subtract(FieldMatrix<T>) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Subtract m from this matrix.
subtract(FieldVector<T>) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Compute this minus v.
subtract(FieldVector<T>) - Method in interface org.apache.commons.math4.linear.FieldVector: Compute this minus v.
subtract(FieldVector<T>) - Method in class org.apache.commons.math4.linear.SparseFieldVector: Compute this minus v.
subtract(OpenMapRealMatrix) - Method in class org.apache.commons.math4.linear.OpenMapRealMatrix: Subtract m from this matrix.
subtract(OpenMapRealVector) - Method in class org.apache.commons.math4.linear.OpenMapRealVector: Optimized method to subtract OpenMapRealVectors.
subtract(RealMatrix) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Returns this minus m.
subtract(RealMatrix) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Returns this minus m.
subtract(RealMatrix) - Method in class org.apache.commons.math4.linear.OpenMapRealMatrix: Returns this minus m.
subtract(RealMatrix) - Method in interface org.apache.commons.math4.linear.RealMatrix: Returns this minus m.
subtract(RealVector) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Subtract v from this vector.
subtract(RealVector) - Method in class org.apache.commons.math4.linear.OpenMapRealVector: Subtract v from this vector.
subtract(RealVector) - Method in class org.apache.commons.math4.linear.RealVector: Subtract v from this vector.
subtract(SparseFieldVector<T>) - Method in class org.apache.commons.math4.linear.SparseFieldVector: Optimized method to compute this minus v.
subtract(BigReal) - Method in class org.apache.commons.math4.util.BigReal: Compute this - a.
subtract(Decimal64) - Method in class org.apache.commons.math4.util.Decimal64: Compute this - a.
subtract(Complex) - Method in class org.apache.commons.numbers.complex.Complex: Returns a Complex whose value is (this - subtrahend).
subtract(BigFraction) - Method in class org.apache.commons.numbers.fraction.BigFraction: Subtracts the value of another fraction from the value of this one, returning the result in reduced form.
subtract(Fraction) - Method in class org.apache.commons.numbers.fraction.Fraction: Subtracts the value of another fraction from the value of this one, returning the result in reduced form.
subtract(T) - Method in interface org.apache.commons.math4.FieldElement: Compute this - a.
subtract(T) - Method in interface org.apache.commons.numbers.core.NativeOperators: Binary subtraction.
Subtract - Class in org.apache.commons.math4.analysis.function: Subtract the second operand from the first.
Subtract() - Constructor for class org.apache.commons.math4.analysis.function.Subtract
subtractExact(int, int) - Static method in class org.apache.commons.math4.util.FastMath: Subtract two numbers, detecting overflows.
subtractExact(long, long) - Static method in class org.apache.commons.math4.util.FastMath: Subtract two numbers, detecting overflows.
sum(double[]) - Static method in class org.apache.commons.math4.stat.StatUtils: Returns the sum of the values in the input array, or Double.NaN if the array is empty.
sum(double[], int, int) - Static method in class org.apache.commons.math4.stat.StatUtils: Returns the sum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
Sum - Class in org.apache.commons.math4.stat.descriptive.summary: Returns the sum of the available values.
Sum() - Constructor for class org.apache.commons.math4.stat.descriptive.summary.Sum: Create a Sum instance.
Sum(Sum) - Constructor for class org.apache.commons.math4.stat.descriptive.summary.Sum: Copy constructor, creates a new Sum identical to the original.
sumDifference(double[], double[]) - Static method in class org.apache.commons.math4.stat.StatUtils: Returns the sum of the (signed) differences between corresponding elements of the input arrays -- i.e., sum(sample1[i] - sample2[i]).
sumLog(double[]) - Static method in class org.apache.commons.math4.stat.StatUtils: Returns the sum of the natural logs of the entries in the input array, or Double.NaN if the array is empty.
sumLog(double[], int, int) - Static method in class org.apache.commons.math4.stat.StatUtils: Returns the sum of the natural logs of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
SummaryStatistics - Class in org.apache.commons.math4.stat.descriptive: Computes summary statistics for a stream of data values added using the addValue method.
SummaryStatistics() - Constructor for class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Construct a SummaryStatistics instance
SummaryStatistics(SummaryStatistics) - Constructor for class org.apache.commons.math4.stat.descriptive.SummaryStatistics: A copy constructor.
SumOfLogs - Class in org.apache.commons.math4.stat.descriptive.summary: Returns the sum of the natural logs for this collection of values.
SumOfLogs() - Constructor for class org.apache.commons.math4.stat.descriptive.summary.SumOfLogs: Create a SumOfLogs instance.
SumOfLogs(SumOfLogs) - Constructor for class org.apache.commons.math4.stat.descriptive.summary.SumOfLogs: Copy constructor, creates a new SumOfLogs identical to the original.
SumOfSquares - Class in org.apache.commons.math4.stat.descriptive.summary: Returns the sum of the squares of the available values.
SumOfSquares() - Constructor for class org.apache.commons.math4.stat.descriptive.summary.SumOfSquares: Create a SumOfSquares instance.
SumOfSquares(SumOfSquares) - Constructor for class org.apache.commons.math4.stat.descriptive.summary.SumOfSquares: Copy constructor, creates a new SumOfSquares identical to the original.
sumSq(double[]) - Static method in class org.apache.commons.math4.stat.StatUtils: Returns the sum of the squares of the entries in the input array, or Double.NaN if the array is empty.
sumSq(double[], int, int) - Static method in class org.apache.commons.math4.stat.StatUtils: Returns the sum of the squares of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
SymmetricGaussIntegrator - Class in org.apache.commons.math4.analysis.integration.gauss: This class's implements integrate method assuming that the integral is symmetric about 0.
SymmetricGaussIntegrator(double[], double[]) - Constructor for class org.apache.commons.math4.analysis.integration.gauss.SymmetricGaussIntegrator: Creates an integrator from the given points and weights.
SymmetricGaussIntegrator(Pair<double[], double[]>) - Constructor for class org.apache.commons.math4.analysis.integration.gauss.SymmetricGaussIntegrator: Creates an integrator from the given pair of points (first element of the pair) and weights (second element of the pair.
SymmLQ - Class in org.apache.commons.math4.linear: Implementation of the SYMMLQ iterative linear solver proposed by Paige and Saunders (1975).
SymmLQ(int, double, boolean) - Constructor for class org.apache.commons.math4.linear.SymmLQ: Creates a new instance of this class, with default stopping criterion.
SymmLQ(IterationManager, double, boolean) - Constructor for class org.apache.commons.math4.linear.SymmLQ: Creates a new instance of this class, with default stopping criterion and custom iteration manager.
SynchronizedDescriptiveStatistics - Class in org.apache.commons.math4.stat.descriptive: Implementation of DescriptiveStatistics that is safe to use in a multithreaded environment.
SynchronizedDescriptiveStatistics() - Constructor for class org.apache.commons.math4.stat.descriptive.SynchronizedDescriptiveStatistics: Construct an instance with infinite window
SynchronizedDescriptiveStatistics(int) - Constructor for class org.apache.commons.math4.stat.descriptive.SynchronizedDescriptiveStatistics: Construct an instance with finite window
SynchronizedDescriptiveStatistics(SynchronizedDescriptiveStatistics) - Constructor for class org.apache.commons.math4.stat.descriptive.SynchronizedDescriptiveStatistics: A copy constructor.
SynchronizedMultivariateSummaryStatistics - Class in org.apache.commons.math4.stat.descriptive: Implementation of MultivariateSummaryStatistics that is safe to use in a multithreaded environment.
SynchronizedMultivariateSummaryStatistics(int, boolean) - Constructor for class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics: Construct a SynchronizedMultivariateSummaryStatistics instance
SynchronizedRandomGenerator - Class in org.apache.commons.math4.random: Deprecated.
As of 4.0. No replacement.
SynchronizedRandomGenerator(RandomGenerator) - Constructor for class org.apache.commons.math4.random.SynchronizedRandomGenerator: Deprecated.

Creates a synchronized wrapper for the given RandomGenerator instance.
SynchronizedSummaryStatistics - Class in org.apache.commons.math4.stat.descriptive: Implementation of SummaryStatistics that is safe to use in a multithreaded environment.
SynchronizedSummaryStatistics() - Constructor for class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: Construct a SynchronizedSummaryStatistics instance
SynchronizedSummaryStatistics(SynchronizedSummaryStatistics) - Constructor for class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: A copy constructor.

T

t(double[], double[]) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
t(double[], double[]) - Method in class org.apache.commons.math4.stat.inference.TTest: Computes a 2-sample t statistic, without the hypothesis of equal subpopulation variances.
t(double, double[]) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
t(double, double[]) - Method in class org.apache.commons.math4.stat.inference.TTest: Computes a t statistic given observed values and a comparison constant.
t(double, double, double, double) - Method in class org.apache.commons.math4.stat.inference.TTest: Computes t test statistic for 1-sample t-test.
t(double, double, double, double, double, double) - Method in class org.apache.commons.math4.stat.inference.TTest: Computes t test statistic for 2-sample t-test.
t(double, StatisticalSummary) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
t(double, StatisticalSummary) - Method in class org.apache.commons.math4.stat.inference.TTest: Computes a t statistic to use in comparing the mean of the dataset described by sampleStats to mu.
t(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
t(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math4.stat.inference.TTest: Computes a 2-sample t statistic, comparing the means of the datasets described by two StatisticalSummary instances, without the assumption of equal subpopulation variances.
T - Class in io.virtdata.continuous.int_double
T - Class in io.virtdata.continuous.long_double
T(double, String...) - Constructor for class io.virtdata.continuous.int_double.T
T(double, String...) - Constructor for class io.virtdata.continuous.long_double.T
tan() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Tangent operation.
tan() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Tangent operation.
tan() - Method in interface org.apache.commons.math4.RealFieldElement: Tangent operation.
tan() - Method in class org.apache.commons.math4.util.Decimal64: Tangent operation.
tan() - Method in class org.apache.commons.numbers.complex.Complex: Compute the tangent of this complex number.
tan(double) - Static method in class org.apache.commons.math4.util.FastMath: Tangent function.
tan(double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Compute tangent of a derivative structure.
Tan - Class in org.apache.commons.math4.analysis.function: Tangent function.
Tan() - Constructor for class org.apache.commons.math4.analysis.function.Tan
tanh() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Hyperbolic tangent operation.
tanh() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Hyperbolic tangent operation.
tanh() - Method in interface org.apache.commons.math4.RealFieldElement: Hyperbolic tangent operation.
tanh() - Method in class org.apache.commons.math4.util.Decimal64: Hyperbolic tangent operation.
tanh() - Method in class org.apache.commons.numbers.complex.Complex: Compute the hyperbolic tangent of this complex number.
tanh(double) - Static method in class org.apache.commons.math4.util.FastMath: Compute the hyperbolic tangent of a number.
tanh(double[], int, double[], int) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Compute hyperbolic tangent of a derivative structure.
Tanh - Class in org.apache.commons.math4.analysis.function: Hyperbolic tangent function.
Tanh() - Constructor for class org.apache.commons.math4.analysis.function.Tanh
TAutoDocsInfo - Class in io.virtdata.continuous.int_double
TAutoDocsInfo - Class in io.virtdata.continuous.long_double
TAutoDocsInfo() - Constructor for class io.virtdata.continuous.int_double.TAutoDocsInfo
TAutoDocsInfo() - Constructor for class io.virtdata.continuous.long_double.TAutoDocsInfo
taylor(double...) - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Evaluate Taylor expansion a derivative structure.
taylor(double...) - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Evaluate Taylor expansion of a sparse gradient.
taylor(double[], int, double...) - Method in class org.apache.commons.math4.analysis.differentiation.DSCompiler: Evaluate Taylor expansion of a derivative structure.
TDistribution - Class in org.apache.commons.statistics.distribution: Implementation of Student's t-distribution.
TDistribution(double) - Constructor for class org.apache.commons.statistics.distribution.TDistribution: Creates a distribution.
terminationPerformed(IterationEvent) - Method in interface org.apache.commons.math4.util.IterationListener: Invoked after completion of the operations which occur after breaking out of the main iteration loop.
ThreadLocalRandomSource - Class in org.apache.commons.rng.simple: This class provides a thread-local UniformRandomProvider.
ThreadSafeHash - Class in io.virtdata.discrete.common: This uses the Murmur3F (64-bit optimized) version of Murmur3, not as a checksum, but as a simple hash.
ThreadSafeHash() - Constructor for class io.virtdata.discrete.common.ThreadSafeHash
THREE_FIFTHS - Static variable in class org.apache.commons.math4.fraction.BigFraction: A fraction representing "3/5".
THREE_FIFTHS - Static variable in class org.apache.commons.math4.fraction.Fraction: A fraction representing "3/5".
THREE_FIFTHS - Static variable in class org.apache.commons.numbers.fraction.BigFraction: A fraction representing "3/5".
THREE_FIFTHS - Static variable in class org.apache.commons.numbers.fraction.Fraction: A fraction representing "3/5".
THREE_QUARTERS - Static variable in class org.apache.commons.math4.fraction.BigFraction: A fraction representing "3/4".
THREE_QUARTERS - Static variable in class org.apache.commons.math4.fraction.Fraction: A fraction representing "3/4".
THREE_QUARTERS - Static variable in class org.apache.commons.numbers.fraction.BigFraction: A fraction representing "3/4".
THREE_QUARTERS - Static variable in class org.apache.commons.numbers.fraction.Fraction: A fraction representing "3/4".
TiesStrategy - Enum in org.apache.commons.math4.stat.ranking: Strategies for handling tied values in rank transformations.
toArray() - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Convert the vector to a T array.
toArray() - Method in class org.apache.commons.math4.linear.ArrayRealVector: Convert the vector to an array of doubles.
toArray() - Method in interface org.apache.commons.math4.linear.FieldVector: Convert the vector to a T array.
toArray() - Method in class org.apache.commons.math4.linear.OpenMapRealVector: Convert the vector to an array of doubles.
toArray() - Method in class org.apache.commons.math4.linear.RealVector: Convert the vector to an array of doubles.
toArray() - Method in class org.apache.commons.math4.linear.SparseFieldVector: Convert the vector to a T array.
toBlocksLayout(double[][]) - Static method in class org.apache.commons.math4.linear.BlockRealMatrix: Convert a data array from raw layout to blocks layout.
toBlocksLayout(T[][]) - Static method in class org.apache.commons.math4.linear.BlockFieldMatrix: Convert a data array from raw layout to blocks layout.
toDegrees() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Convert radians to degrees, with error of less than 0.5 ULP
toDegrees() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Convert radians to degrees, with error of less than 0.5 ULP
toDegrees(double) - Static method in class org.apache.commons.math4.util.FastMath: Convert radians to degrees, with error of less than 0.5 ULP
toDifferentiable(MultivariateFunction, MultivariateVectorFunction) - Static method in class org.apache.commons.math4.analysis.FunctionUtils: Convert regular functions to MultivariateDifferentiableFunction.
toDifferentiable(UnivariateFunction, UnivariateFunction...) - Static method in class org.apache.commons.math4.analysis.FunctionUtils: Convert regular functions to UnivariateDifferentiableFunction.
toIntExact(long) - Static method in class org.apache.commons.math4.util.FastMath: Convert a long to integer, detecting overflows
TOO_LARGE_CUTOFF_SINGULAR_VALUE - org.apache.commons.math4.exception.util.LocalizedFormats
TOO_LARGE_TOURNAMENT_ARITY - org.apache.commons.math4.exception.util.LocalizedFormats
TOO_MANY_ELEMENTS_TO_DISCARD_FROM_ARRAY - org.apache.commons.math4.exception.util.LocalizedFormats
TOO_MANY_REGRESSORS - org.apache.commons.math4.exception.util.LocalizedFormats
TOO_SMALL_COST_RELATIVE_TOLERANCE - org.apache.commons.math4.exception.util.LocalizedFormats
TOO_SMALL_INTEGRATION_INTERVAL - org.apache.commons.math4.exception.util.LocalizedFormats
TOO_SMALL_ORTHOGONALITY_TOLERANCE - org.apache.commons.math4.exception.util.LocalizedFormats
TOO_SMALL_PARAMETERS_RELATIVE_TOLERANCE - org.apache.commons.math4.exception.util.LocalizedFormats
TooManyEvaluationsException - Exception in org.apache.commons.math4.exception: Exception to be thrown when the maximal number of evaluations is exceeded.
TooManyEvaluationsException(Number) - Constructor for exception org.apache.commons.math4.exception.TooManyEvaluationsException: Construct the exception.
TooManyIterationsException - Exception in org.apache.commons.math4.exception: Exception to be thrown when the maximal number of iterations is exceeded.
TooManyIterationsException(Number) - Constructor for exception org.apache.commons.math4.exception.TooManyIterationsException: Construct the exception.
toRadians() - Method in class org.apache.commons.math4.analysis.differentiation.DerivativeStructure: Convert degrees to radians, with error of less than 0.5 ULP
toRadians() - Method in class org.apache.commons.math4.analysis.differentiation.SparseGradient: Convert degrees to radians, with error of less than 0.5 ULP
toRadians(double) - Static method in class org.apache.commons.math4.util.FastMath: Convert degrees to radians, with error of less than 0.5 ULP
toString() - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunction: Returns a string representation of the polynomial.
toString() - Method in class org.apache.commons.math4.exception.util.DummyLocalizable
toString() - Method in class org.apache.commons.math4.fraction.BigFraction: Returns the String representing this fraction, ie "num / dem" or just "num" if the denominator is one.
toString() - Method in class org.apache.commons.math4.fraction.Fraction: Returns the String representing this fraction, ie "num / dem" or just "num" if the denominator is one.
toString() - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Get a string representation for this matrix.
toString() - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Get a string representation for this matrix.
toString() - Method in class org.apache.commons.math4.linear.ArrayRealVector
toString() - Method in class org.apache.commons.math4.stat.descriptive.DescriptiveStatistics: Generates a text report displaying univariate statistics from values that have been added.
toString() - Method in class org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics: Generates a text report displaying summary statistics from values that have been added.
toString() - Method in class org.apache.commons.math4.stat.descriptive.rank.PSquarePercentile: Returns a string containing the last observation, the current estimate of the quantile and all markers.
toString() - Method in class org.apache.commons.math4.stat.descriptive.StatisticalSummaryValues: Generates a text report displaying values of statistics.
toString() - Method in class org.apache.commons.math4.stat.descriptive.SummaryStatistics: Generates a text report displaying summary statistics from values that have been added.
toString() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedDescriptiveStatistics: Generates a text report displaying univariate statistics from values that have been added.
toString() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics: Generates a text report displaying summary statistics from values that have been added.
toString() - Method in class org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics: Generates a text report displaying summary statistics from values that have been added.
toString() - Method in class org.apache.commons.math4.stat.Frequency: Return a string representation of this frequency distribution.
toString() - Method in class org.apache.commons.math4.stat.interval.ConfidenceInterval
toString() - Method in class org.apache.commons.math4.util.Decimal64: The returned String is equal to Double.toString(this.doubleValue())
toString() - Method in class org.apache.commons.math4.util.MultidimensionalCounter
toString() - Method in class org.apache.commons.math4.util.Pair
toString() - Method in class org.apache.commons.numbers.complex.Complex
toString() - Method in class org.apache.commons.numbers.fraction.BigFraction: Returns the String representing this fraction, ie "num / dem" or just "num" if the denominator is one.
toString() - Method in class org.apache.commons.numbers.fraction.Fraction: Returns the String representing this fraction, ie "num / dem" or just "num" if the denominator is one.
toString() - Method in class org.apache.commons.rng.core.BaseProvider
toString() - Method in class org.apache.commons.rng.core.source64.TwoCmres
toString() - Method in class org.apache.commons.rng.sampling.distribution.AhrensDieterExponentialSampler
toString() - Method in class org.apache.commons.rng.sampling.distribution.AhrensDieterMarsagliaTsangGammaSampler
toString() - Method in class org.apache.commons.rng.sampling.distribution.BoxMullerGaussianSampler: Deprecated.
toString() - Method in class org.apache.commons.rng.sampling.distribution.BoxMullerLogNormalSampler: Deprecated.
toString() - Method in class org.apache.commons.rng.sampling.distribution.BoxMullerNormalizedGaussianSampler
toString() - Method in class org.apache.commons.rng.sampling.distribution.ChengBetaSampler
toString() - Method in class org.apache.commons.rng.sampling.distribution.ContinuousUniformSampler
toString() - Method in class org.apache.commons.rng.sampling.distribution.DiscreteUniformSampler
toString() - Method in class org.apache.commons.rng.sampling.distribution.GaussianSampler
toString() - Method in class org.apache.commons.rng.sampling.distribution.GeometricSampler
toString() - Method in class org.apache.commons.rng.sampling.distribution.InverseTransformContinuousSampler
toString() - Method in class org.apache.commons.rng.sampling.distribution.InverseTransformDiscreteSampler
toString() - Method in class org.apache.commons.rng.sampling.distribution.InverseTransformParetoSampler
toString() - Method in class org.apache.commons.rng.sampling.distribution.LargeMeanPoissonSampler
toString() - Method in class org.apache.commons.rng.sampling.distribution.LogNormalSampler
toString() - Method in class org.apache.commons.rng.sampling.distribution.MarsagliaNormalizedGaussianSampler
toString() - Method in class org.apache.commons.rng.sampling.distribution.PoissonSampler
toString() - Method in class org.apache.commons.rng.sampling.distribution.RejectionInversionZipfSampler
toString() - Method in class org.apache.commons.rng.sampling.distribution.SamplerBase: Deprecated.
toString() - Method in class org.apache.commons.rng.sampling.distribution.SmallMeanPoissonSampler
toString() - Method in class org.apache.commons.rng.sampling.distribution.ZigguratNormalizedGaussianSampler
transform(Object) - Method in class org.apache.commons.math4.util.DefaultTransformer
transform(Object) - Method in interface org.apache.commons.math4.util.NumberTransformer: Implementing this interface provides a facility to transform from Object to Double.
transform(Object) - Method in class org.apache.commons.math4.util.TransformerMap: Attempts to transform the Object against the map of NumberTransformers.
TransformerMap - Class in org.apache.commons.math4.util: This TansformerMap automates the transformation of mixed object types.
TransformerMap() - Constructor for class org.apache.commons.math4.util.TransformerMap: Build a map containing only the default transformer.
transformers() - Method in class org.apache.commons.math4.util.TransformerMap: Returns the Set of NumberTransformers used as values in the map.
transpose() - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Returns the transpose of this matrix.
transpose() - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Returns the transpose of this matrix.
transpose() - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Returns the transpose of this matrix.
transpose() - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Returns the transpose of this matrix.
transpose() - Method in interface org.apache.commons.math4.linear.FieldMatrix: Returns the transpose of this matrix.
transpose() - Method in interface org.apache.commons.math4.linear.RealMatrix: Returns the transpose of this matrix.
TRAPEZOID_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math4.analysis.integration.TrapezoidIntegrator: Maximum number of iterations for trapezoid.
TrapezoidIntegrator - Class in org.apache.commons.math4.analysis.integration: Implements the Trapezoid Rule for integration of real univariate functions.
TrapezoidIntegrator() - Constructor for class org.apache.commons.math4.analysis.integration.TrapezoidIntegrator: Construct a trapezoid integrator with default settings.
TrapezoidIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math4.analysis.integration.TrapezoidIntegrator: Build a trapezoid integrator with given accuracies and iterations counts.
TrapezoidIntegrator(int, int) - Constructor for class org.apache.commons.math4.analysis.integration.TrapezoidIntegrator: Build a trapezoid integrator with given iteration counts.
Triangular - Class in io.virtdata.continuous.int_double
Triangular - Class in io.virtdata.continuous.long_double
Triangular(double, double, double, String...) - Constructor for class io.virtdata.continuous.int_double.Triangular
Triangular(double, double, double, String...) - Constructor for class io.virtdata.continuous.long_double.Triangular
TriangularAutoDocsInfo - Class in io.virtdata.continuous.int_double
TriangularAutoDocsInfo - Class in io.virtdata.continuous.long_double
TriangularAutoDocsInfo() - Constructor for class io.virtdata.continuous.int_double.TriangularAutoDocsInfo
TriangularAutoDocsInfo() - Constructor for class io.virtdata.continuous.long_double.TriangularAutoDocsInfo
TriangularDistribution - Class in org.apache.commons.statistics.distribution: Implementation of the triangular real distribution.
TriangularDistribution(double, double, double) - Constructor for class org.apache.commons.statistics.distribution.TriangularDistribution: Creates a distribution.
TricubicInterpolatingFunction - Class in org.apache.commons.math4.analysis.interpolation: Function that implements the tricubic spline interpolation, as proposed in Tricubic interpolation in three dimensions
F.
TricubicInterpolatingFunction(double[], double[], double[], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][]) - Constructor for class org.apache.commons.math4.analysis.interpolation.TricubicInterpolatingFunction
TricubicInterpolator - Class in org.apache.commons.math4.analysis.interpolation: Generates a tricubic interpolating function.
TricubicInterpolator() - Constructor for class org.apache.commons.math4.analysis.interpolation.TricubicInterpolator
Trigamma - Class in org.apache.commons.numbers.gamma: Trigamma function.
Trigamma() - Constructor for class org.apache.commons.numbers.gamma.Trigamma
trigger(int) - Method in interface org.apache.commons.math4.util.Incrementor.MaxCountExceededCallback: Deprecated.

Function called when the maximal count has been reached.
trigger(int) - Method in interface org.apache.commons.math4.util.IntegerSequence.Incrementor.MaxCountExceededCallback: Function called when the maximal count has been reached.
TrivariateFunction - Interface in org.apache.commons.math4.analysis: An interface representing a trivariate real function.
TrivariateGridInterpolator - Interface in org.apache.commons.math4.analysis.interpolation: Interface representing a trivariate real interpolating function where the sample points must be specified on a regular grid.
TRUST_REGION_STEP_FAILED - org.apache.commons.math4.exception.util.LocalizedFormats
tTest(double[], double[]) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
tTest(double[], double[]) - Method in class org.apache.commons.math4.stat.inference.TTest: Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the input arrays.
tTest(double[], double[], double) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
tTest(double[], double[], double) - Method in class org.apache.commons.math4.stat.inference.TTest: Performs a two-sided t-test evaluating the null hypothesis that sample1 and sample2 are drawn from populations with the same mean, with significance level alpha.
tTest(double, double[]) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
tTest(double, double[]) - Method in class org.apache.commons.math4.stat.inference.TTest: Returns the observed significance level, or p-value, associated with a one-sample, two-tailed t-test comparing the mean of the input array with the constant mu.
tTest(double, double[], double) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
tTest(double, double[], double) - Method in class org.apache.commons.math4.stat.inference.TTest: Performs a two-sided t-test evaluating the null hypothesis that the mean of the population from which sample is drawn equals mu.
tTest(double, double, double, double) - Method in class org.apache.commons.math4.stat.inference.TTest: Computes p-value for 2-sided, 1-sample t-test.
tTest(double, double, double, double, double, double) - Method in class org.apache.commons.math4.stat.inference.TTest: Computes p-value for 2-sided, 2-sample t-test.
tTest(double, StatisticalSummary) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
tTest(double, StatisticalSummary) - Method in class org.apache.commons.math4.stat.inference.TTest: Returns the observed significance level, or p-value, associated with a one-sample, two-tailed t-test comparing the mean of the dataset described by sampleStats with the constant mu.
tTest(double, StatisticalSummary, double) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
tTest(double, StatisticalSummary, double) - Method in class org.apache.commons.math4.stat.inference.TTest: Performs a two-sided t-test evaluating the null hypothesis that the mean of the population from which the dataset described by stats is drawn equals mu.
tTest(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
tTest(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math4.stat.inference.TTest: Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the datasets described by two StatisticalSummary instances.
tTest(StatisticalSummary, StatisticalSummary, double) - Static method in class org.apache.commons.math4.stat.inference.InferenceTestUtils
tTest(StatisticalSummary, StatisticalSummary, double) - Method in class org.apache.commons.math4.stat.inference.TTest: Performs a two-sided t-test evaluating the null hypothesis that sampleStats1 and sampleStats2 describe datasets drawn from populations with the same mean, with significance level alpha.
TTest - Class in org.apache.commons.math4.stat.inference: An implementation for Student's t-tests.
TTest() - Constructor for class org.apache.commons.math4.stat.inference.TTest
TWO - Static variable in class org.apache.commons.math4.fraction.BigFraction: A fraction representing "2 / 1".
TWO - Static variable in class org.apache.commons.math4.fraction.Fraction: A fraction representing "2 / 1".
TWO - Static variable in class org.apache.commons.numbers.fraction.BigFraction: A fraction representing "2 / 1".
TWO - Static variable in class org.apache.commons.numbers.fraction.Fraction: A fraction representing "2 / 1".
TWO_CMRES - org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is TwoCmres.
TWO_CMRES - org.apache.commons.rng.simple.RandomSource: Source of randomness is TwoCmres.
TWO_CMRES_SELECT - org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is TwoCmres with explicit selection of the two subcycle generators.
TWO_CMRES_SELECT - org.apache.commons.rng.simple.RandomSource: Source of randomness is TwoCmres, with explicit selection of the two subcycle generators.
TWO_FIFTHS - Static variable in class org.apache.commons.math4.fraction.BigFraction: A fraction representing "2/5".
TWO_FIFTHS - Static variable in class org.apache.commons.math4.fraction.Fraction: A fraction representing "2/5".
TWO_FIFTHS - Static variable in class org.apache.commons.numbers.fraction.BigFraction: A fraction representing "2/5".
TWO_FIFTHS - Static variable in class org.apache.commons.numbers.fraction.Fraction: A fraction representing "2/5".
TWO_OR_MORE_CATEGORIES_REQUIRED - org.apache.commons.math4.exception.util.LocalizedFormats
TWO_OR_MORE_VALUES_IN_CATEGORY_REQUIRED - org.apache.commons.math4.exception.util.LocalizedFormats
TWO_PI - Static variable in class org.apache.commons.math4.util.MathUtils: \(2\pi\)
TWO_QUARTERS - Static variable in class org.apache.commons.math4.fraction.BigFraction: A fraction representing "2/4".
TWO_QUARTERS - Static variable in class org.apache.commons.math4.fraction.Fraction: A fraction representing "2/4".
TWO_QUARTERS - Static variable in class org.apache.commons.numbers.fraction.BigFraction: A fraction representing "2/4".
TWO_QUARTERS - Static variable in class org.apache.commons.numbers.fraction.Fraction: A fraction representing "2/4".
TWO_SIDED - org.apache.commons.math4.stat.inference.AlternativeHypothesis: Represents a two-sided test.
TWO_THIRDS - Static variable in class org.apache.commons.math4.fraction.BigFraction: A fraction representing "2/3".
TWO_THIRDS - Static variable in class org.apache.commons.math4.fraction.Fraction: A fraction representing "2/3".
TWO_THIRDS - Static variable in class org.apache.commons.numbers.fraction.BigFraction: A fraction representing "2/3".
TWO_THIRDS - Static variable in class org.apache.commons.numbers.fraction.Fraction: A fraction representing "2/3".
TwoCmres - Class in org.apache.commons.rng.core.source64: Random number generator designed by Mark D. Overton.
TwoCmres(Integer) - Constructor for class org.apache.commons.rng.core.source64.TwoCmres: Creates a new instance.
TwoCmres(Integer, int, int) - Constructor for class org.apache.commons.rng.core.source64.TwoCmres: Creates a new instance.

U

ulp(double) - Static method in class org.apache.commons.math4.util.FastMath: Compute least significant bit (Unit in Last Position) for a number.
ulp(float) - Static method in class org.apache.commons.math4.util.FastMath: Compute least significant bit (Unit in Last Position) for a number.
Ulp - Class in org.apache.commons.math4.analysis.function: ulp function.
Ulp() - Constructor for class org.apache.commons.math4.analysis.function.Ulp
UNABLE_TO_BRACKET_OPTIMUM_IN_LINE_SEARCH - org.apache.commons.math4.exception.util.LocalizedFormats
UNABLE_TO_COMPUTE_COVARIANCE_SINGULAR_PROBLEM - org.apache.commons.math4.exception.util.LocalizedFormats
UNABLE_TO_FIRST_GUESS_HARMONIC_COEFFICIENTS - org.apache.commons.math4.exception.util.LocalizedFormats
UNABLE_TO_ORTHOGONOLIZE_MATRIX - org.apache.commons.math4.exception.util.LocalizedFormats
UNABLE_TO_PERFORM_QR_DECOMPOSITION_ON_JACOBIAN - org.apache.commons.math4.exception.util.LocalizedFormats
UNABLE_TO_SOLVE_SINGULAR_PROBLEM - org.apache.commons.math4.exception.util.LocalizedFormats
UNBOUNDED_SOLUTION - org.apache.commons.math4.exception.util.LocalizedFormats
UncorrelatedRandomVectorGenerator - Class in org.apache.commons.math4.random: A RandomVectorGenerator that generates vectors with uncorrelated components.
UncorrelatedRandomVectorGenerator(double[], double[], NormalizedRandomGenerator) - Constructor for class org.apache.commons.math4.random.UncorrelatedRandomVectorGenerator: Simple constructor.
UncorrelatedRandomVectorGenerator(int, NormalizedRandomGenerator) - Constructor for class org.apache.commons.math4.random.UncorrelatedRandomVectorGenerator: Simple constructor.
Uniform - Class in io.virtdata.continuous.int_double
Uniform - Class in io.virtdata.continuous.long_double
Uniform - Class in io.virtdata.discrete.int_int
Uniform - Class in io.virtdata.discrete.int_long
Uniform - Class in io.virtdata.discrete.long_int
Uniform - Class in io.virtdata.discrete.long_long
Uniform(double, double, String...) - Constructor for class io.virtdata.continuous.int_double.Uniform
Uniform(double, double, String...) - Constructor for class io.virtdata.continuous.long_double.Uniform
Uniform(int, int, String...) - Constructor for class io.virtdata.discrete.int_int.Uniform
Uniform(int, int, String...) - Constructor for class io.virtdata.discrete.int_long.Uniform
Uniform(int, int, String...) - Constructor for class io.virtdata.discrete.long_int.Uniform
Uniform(int, int, String...) - Constructor for class io.virtdata.discrete.long_long.Uniform
UniformAutoDocsInfo - Class in io.virtdata.continuous.int_double
UniformAutoDocsInfo - Class in io.virtdata.continuous.long_double
UniformAutoDocsInfo - Class in io.virtdata.discrete.int_int
UniformAutoDocsInfo - Class in io.virtdata.discrete.int_long
UniformAutoDocsInfo - Class in io.virtdata.discrete.long_int
UniformAutoDocsInfo - Class in io.virtdata.discrete.long_long
UniformAutoDocsInfo() - Constructor for class io.virtdata.continuous.int_double.UniformAutoDocsInfo
UniformAutoDocsInfo() - Constructor for class io.virtdata.continuous.long_double.UniformAutoDocsInfo
UniformAutoDocsInfo() - Constructor for class io.virtdata.discrete.int_int.UniformAutoDocsInfo
UniformAutoDocsInfo() - Constructor for class io.virtdata.discrete.int_long.UniformAutoDocsInfo
UniformAutoDocsInfo() - Constructor for class io.virtdata.discrete.long_int.UniformAutoDocsInfo
UniformAutoDocsInfo() - Constructor for class io.virtdata.discrete.long_long.UniformAutoDocsInfo
UniformContinuousDistribution - Class in org.apache.commons.statistics.distribution: Implementation of the uniform distribution.
UniformContinuousDistribution(double, double) - Constructor for class org.apache.commons.statistics.distribution.UniformContinuousDistribution: Creates a uniform distribution.
UniformDiscreteDistribution - Class in org.apache.commons.statistics.distribution: Implementation of the uniform integer distribution.
UniformDiscreteDistribution(int, int) - Constructor for class org.apache.commons.statistics.distribution.UniformDiscreteDistribution: Creates a new uniform integer distribution using the given lower and upper bounds (both inclusive).
UniformRandomGenerator - Class in org.apache.commons.math4.random: This class implements a normalized uniform random generator.
UniformRandomGenerator(UniformRandomProvider) - Constructor for class org.apache.commons.math4.random.UniformRandomGenerator: Creates a new generator.
UniformRandomProvider - Interface in org.apache.commons.rng: Applies to generators of random number sequences that follow a uniform distribution.
unique(double[]) - Static method in class org.apache.commons.math4.util.MathArrays: Returns an array consisting of the unique values in data.
unitize() - Method in class org.apache.commons.math4.linear.OpenMapRealVector: Converts this vector into a unit vector.
unitize() - Method in class org.apache.commons.math4.linear.RealVector: Converts this vector into a unit vector.
UnitSphereSampler - Class in org.apache.commons.rng.sampling: Generate vectors isotropically located on the surface of a sphere.
UnitSphereSampler(int, UniformRandomProvider) - Constructor for class org.apache.commons.rng.sampling.UnitSphereSampler
unitVector() - Method in class org.apache.commons.math4.linear.OpenMapRealVector: Creates a unit vector pointing in the direction of this vector.
unitVector() - Method in class org.apache.commons.math4.linear.RealVector: Creates a unit vector pointing in the direction of this vector.
UnivariateDifferentiableFunction - Interface in org.apache.commons.math4.analysis.differentiation: Interface for univariate functions derivatives.
UnivariateDifferentiableMatrixFunction - Interface in org.apache.commons.math4.analysis.differentiation: Extension of UnivariateMatrixFunction representing a univariate differentiable matrix function.
UnivariateDifferentiableSolver - Interface in org.apache.commons.math4.analysis.solvers: Interface for (univariate real) rootfinding algorithms.
UnivariateDifferentiableVectorFunction - Interface in org.apache.commons.math4.analysis.differentiation: Extension of UnivariateVectorFunction representing a univariate differentiable vectorial function.
UnivariateFunction - Interface in org.apache.commons.math4.analysis: An interface representing a univariate real function.
UnivariateFunctionDifferentiator - Interface in org.apache.commons.math4.analysis.differentiation: Interface defining the function differentiation operation.
UnivariateIntegrator - Interface in org.apache.commons.math4.analysis.integration: Interface for univariate real integration algorithms.
UnivariateInterpolator - Interface in org.apache.commons.math4.analysis.interpolation: Interface representing a univariate real interpolating function.
UnivariateMatrixFunction - Interface in org.apache.commons.math4.analysis: An interface representing a univariate matrix function.
UnivariateMatrixFunctionDifferentiator - Interface in org.apache.commons.math4.analysis.differentiation: Interface defining the function differentiation operation.
UnivariatePeriodicInterpolator - Class in org.apache.commons.math4.analysis.interpolation: Adapter for classes implementing the UnivariateInterpolator interface.
UnivariatePeriodicInterpolator(UnivariateInterpolator, double) - Constructor for class org.apache.commons.math4.analysis.interpolation.UnivariatePeriodicInterpolator: Builds an interpolator.
UnivariatePeriodicInterpolator(UnivariateInterpolator, double, int) - Constructor for class org.apache.commons.math4.analysis.interpolation.UnivariatePeriodicInterpolator: Builds an interpolator.
UnivariateSolver - Interface in org.apache.commons.math4.analysis.solvers: Interface for (univariate real) root-finding algorithms.
UnivariateSolverUtils - Class in org.apache.commons.math4.analysis.solvers: Utility routines for UnivariateSolver objects.
UnivariateStatistic - Interface in org.apache.commons.math4.stat.descriptive: Base interface implemented by all statistics.
UnivariateVectorFunction - Interface in org.apache.commons.math4.analysis: An interface representing a univariate vectorial function.
UnivariateVectorFunctionDifferentiator - Interface in org.apache.commons.math4.analysis.differentiation: Interface defining the function differentiation operation.
UNKNOWN_MODE - org.apache.commons.math4.exception.util.LocalizedFormats
UNKNOWN_PARAMETER - org.apache.commons.math4.exception.util.LocalizedFormats
UNMATCHED_ODE_IN_EXPANDED_SET - org.apache.commons.math4.exception.util.LocalizedFormats
unmodifiableRealVector(RealVector) - Static method in class org.apache.commons.math4.linear.RealVector: Returns an unmodifiable view of the specified vector.
UNPARSEABLE_3D_VECTOR - org.apache.commons.math4.exception.util.LocalizedFormats
UNPARSEABLE_COMPLEX_NUMBER - org.apache.commons.math4.exception.util.LocalizedFormats
UNPARSEABLE_REAL_VECTOR - org.apache.commons.math4.exception.util.LocalizedFormats
unrestorable(UniformRandomProvider) - Static method in enum org.apache.commons.rng.simple.RandomSource: Wraps the given delegate generator in a new instance that does not allow access to the "save/restore" functionality.
UNSUPPORTED_EXPANSION_MODE - org.apache.commons.math4.exception.util.LocalizedFormats
UNSUPPORTED_OPERATION - org.apache.commons.math4.exception.util.LocalizedFormats
UpdatingMultipleLinearRegression - Interface in org.apache.commons.math4.stat.regression: An interface for regression models allowing for dynamic updating of the data.
upperCumulativeProbability(int) - Method in class org.apache.commons.statistics.distribution.HypergeometricDistribution: For this distribution, X, this method returns P(X >= x).
UPSIDE - org.apache.commons.math4.stat.descriptive.moment.SemiVariance.Direction: The UPSIDE Direction is used to specify that the observations above the cutoff point will be used to calculate SemiVariance
UPSIDE_VARIANCE - Static variable in class org.apache.commons.math4.stat.descriptive.moment.SemiVariance: The UPSIDE Direction is used to specify that the observations above the cutoff point will be used to calculate SemiVariance.
URL_CONTAINS_NO_DATA - org.apache.commons.math4.exception.util.LocalizedFormats
USER_EXCEPTION - org.apache.commons.math4.exception.util.LocalizedFormats

V

v - Variable in class org.apache.commons.rng.core.source32.AbstractWell: Bytes pool.
validateCovarianceData(double[][], double[][]) - Method in class org.apache.commons.math4.stat.regression.AbstractMultipleLinearRegression: Validates that the x data and covariance matrix have the same number of rows and that the covariance matrix is square.
validateSampleData(double[][], double[]) - Method in class org.apache.commons.math4.stat.regression.AbstractMultipleLinearRegression: Validates sample data.
value() - Method in class org.apache.commons.math4.util.OpenIntToDoubleHashMap.Iterator: Get the value of current entry.
value() - Method in class org.apache.commons.math4.util.OpenIntToFieldHashMap.Iterator: Get the value of current entry.
value(double) - Method in class org.apache.commons.math4.analysis.function.Abs: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.function.Acos: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.function.Acosh: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.function.Asin: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.function.Asinh: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.function.Atan: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.function.Atanh: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.function.Cbrt: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.function.Ceil: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.function.Constant: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.function.Cos: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.function.Cosh: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.function.Exp: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.function.Expm1: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.function.Floor: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.function.Gaussian: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.function.HarmonicOscillator: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.function.Identity: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.function.Inverse: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.function.Log: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.function.Log10: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.function.Log1p: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.function.Logistic: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.function.Logit: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.function.Minus: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.function.Power: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.function.Rint: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.function.Sigmoid: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.function.Signum: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.function.Sin: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.function.Sinc: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.function.Sinh: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.function.Sqrt: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.function.StepFunction: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.function.Tan: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.function.Tanh: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.function.Ulp: Compute the value of the function.
value(double) - Method in class org.apache.commons.math4.analysis.interpolation.HermiteInterpolator: Interpolate value at a specified abscissa.
value(double) - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunction: Compute the value of the function for the given argument.
value(double) - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunctionLagrangeForm: Calculate the function value at the given point.
value(double) - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunctionNewtonForm: Calculate the function value at the given point.
value(double) - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialSplineFunction: Compute the value for the function.
value(double) - Method in interface org.apache.commons.math4.analysis.UnivariateFunction: Compute the value of the function.
value(double) - Method in interface org.apache.commons.math4.analysis.UnivariateMatrixFunction: Compute the value for the function.
value(double) - Method in interface org.apache.commons.math4.analysis.UnivariateVectorFunction: Compute the value for the function.
value(double) - Static method in class org.apache.commons.numbers.gamma.Digamma: Computes the digamma function.
value(double) - Static method in class org.apache.commons.numbers.gamma.Erf: This implementation computes erf(x) using the regularized gamma function, following Erf, equation (3)
value(double) - Static method in class org.apache.commons.numbers.gamma.Erfc: This implementation computes erfc(x) using the regularized gamma function, following Erf, equation (3).
value(double) - Static method in class org.apache.commons.numbers.gamma.Gamma: Computes the value of \( \Gamma(x) \).
value(double) - Static method in class org.apache.commons.numbers.gamma.InverseErf: Returns the inverse error function.
value(double) - Static method in class org.apache.commons.numbers.gamma.InverseErfc: Returns the inverse complementary error function.
value(double) - Static method in class org.apache.commons.numbers.gamma.LanczosApproximation: Computes the Lanczos approximation.
value(double) - Static method in class org.apache.commons.numbers.gamma.LogGamma: Computes the function \( \ln \Gamma(x) \) for x >= 0.
value(double) - Static method in class org.apache.commons.numbers.gamma.Trigamma: Computes the trigamma function.
value(double[]) - Method in class org.apache.commons.math4.analysis.differentiation.GradientFunction: Compute the value for the function at the given point.
value(double[]) - Method in class org.apache.commons.math4.analysis.differentiation.JacobianFunction: Compute the value for the function at the given point.
value(double[]) - Method in interface org.apache.commons.math4.analysis.MultivariateFunction: Compute the value for the function at the given point.
value(double[]) - Method in interface org.apache.commons.math4.analysis.MultivariateMatrixFunction: Compute the value for the function at the given point.
value(double[]) - Method in interface org.apache.commons.math4.analysis.MultivariateVectorFunction: Compute the value for the function at the given point.
value(double[]) - Static method in class org.apache.commons.numbers.arrays.SafeNorm
value(double[], double[]) - Static method in class org.apache.commons.numbers.arrays.CosAngle: Computes the cosine of the angle between v1 and v2.
value(double[], double[]) - Static method in class org.apache.commons.numbers.arrays.LinearCombination
value(double[], double[][], double[], double, double) - Method in class org.apache.commons.math4.analysis.interpolation.InterpolatingMicrosphere: Estimate the value at the requested location.
value(double, double) - Method in interface org.apache.commons.math4.analysis.BivariateFunction: Compute the value for the function.
value(double, double) - Method in class org.apache.commons.math4.analysis.function.Add: Compute the value for the function.
value(double, double) - Method in class org.apache.commons.math4.analysis.function.Atan2: Compute the value for the function.
value(double, double) - Method in class org.apache.commons.math4.analysis.function.Divide: Compute the value for the function.
value(double, double) - Method in class org.apache.commons.math4.analysis.function.Max: Compute the value for the function.
value(double, double) - Method in class org.apache.commons.math4.analysis.function.Min: Compute the value for the function.
value(double, double) - Method in class org.apache.commons.math4.analysis.function.Multiply: Compute the value for the function.
value(double, double) - Method in class org.apache.commons.math4.analysis.function.Pow: Compute the value for the function.
value(double, double) - Method in class org.apache.commons.math4.analysis.function.Subtract: Compute the value for the function.
value(double, double) - Method in class org.apache.commons.math4.analysis.interpolation.BicubicInterpolatingFunction: Compute the value for the function.
value(double, double) - Method in class org.apache.commons.math4.analysis.interpolation.PiecewiseBicubicSplineInterpolatingFunction: Compute the value for the function.
value(double, double) - Static method in class org.apache.commons.numbers.gamma.ErfDifference: The implementation uses either Erf or Erfc, depending on which provides the most precise result.
value(double, double) - Static method in class org.apache.commons.numbers.gamma.LogBeta: Returns the value of log B(p, q) for 0 ≤ x ≤ 1 and p, q > 0.
value(double, double) - Static method in class org.apache.commons.numbers.gamma.RegularizedGamma.P: Computes the regularized gamma function \( P(a, x) \).
value(double, double) - Static method in class org.apache.commons.numbers.gamma.RegularizedGamma.Q: Computes the regularized gamma function \( Q(a, x) = 1 - P(a, x) \).
value(double, double...) - Method in class org.apache.commons.math4.analysis.function.Gaussian.Parametric: Computes the value of the Gaussian at x.
value(double, double...) - Method in class org.apache.commons.math4.analysis.function.HarmonicOscillator.Parametric: Computes the value of the harmonic oscillator at x.
value(double, double...) - Method in class org.apache.commons.math4.analysis.function.Logistic.Parametric: Computes the value of the sigmoid at x.
value(double, double...) - Method in class org.apache.commons.math4.analysis.function.Logit.Parametric: Computes the value of the logit at x.
value(double, double...) - Method in class org.apache.commons.math4.analysis.function.Sigmoid.Parametric: Computes the value of the sigmoid at x.
value(double, double...) - Method in interface org.apache.commons.math4.analysis.ParametricUnivariateFunction: Compute the value of the function.
value(double, double...) - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunction.Parametric: Compute the value of the function.
value(double, double, double) - Method in class org.apache.commons.math4.analysis.interpolation.TricubicInterpolatingFunction: Compute the value for the function.
value(double, double, double) - Method in interface org.apache.commons.math4.analysis.TrivariateFunction: Compute the value for the function.
value(double, double, double) - Static method in class org.apache.commons.numbers.gamma.RegularizedBeta: Computes the value of the regularized beta function I(x, a, b).
value(double, double, double, double) - Static method in class org.apache.commons.numbers.arrays.LinearCombination
value(double, double, double, double, double, double) - Static method in class org.apache.commons.numbers.arrays.LinearCombination
value(double, double, double, double, double, double, double, double) - Static method in class org.apache.commons.numbers.arrays.LinearCombination
value(double, double, double, double, int) - Static method in class org.apache.commons.numbers.gamma.RegularizedBeta: Computes the value of the regularized beta function I(x, a, b).
value(double, double, double, int) - Static method in class org.apache.commons.numbers.gamma.RegularizedGamma.P: Computes the regularized gamma function \( P(a, x) \).
value(double, double, double, int) - Static method in class org.apache.commons.numbers.gamma.RegularizedGamma.Q: Computes the regularized gamma function \( Q(a, x) = 1 - P(a, x) \).
value(int) - Static method in class org.apache.commons.numbers.combinatorics.Factorial: Computes the factorial of n.
value(int) - Method in class org.apache.commons.numbers.combinatorics.FactorialDouble: Computes the factorial of n.
value(int) - Method in class org.apache.commons.numbers.combinatorics.LogFactorial: Computes \( log_e(n!) \).
value(int, int) - Static method in class org.apache.commons.numbers.combinatorics.BinomialCoefficient: Computes de binomial coefficient.
value(int, int) - Static method in class org.apache.commons.numbers.combinatorics.BinomialCoefficientDouble: Computes de binomial coefficient.
value(int, int) - Static method in class org.apache.commons.numbers.combinatorics.LogBinomialCoefficient: Computes the logarithm of the binomial coefficient.
value(DerivativeStructure) - Method in interface org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableFunction: Simple mathematical function.
value(DerivativeStructure) - Method in interface org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableMatrixFunction: Compute the value for the function.
value(DerivativeStructure) - Method in interface org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableVectorFunction: Compute the value for the function.
value(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.function.Acos: Simple mathematical function.
value(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.function.Acosh: Simple mathematical function.
value(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.function.Asin: Simple mathematical function.
value(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.function.Asinh: Simple mathematical function.
value(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.function.Atan: Simple mathematical function.
value(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.function.Atanh: Simple mathematical function.
value(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.function.Cbrt: Simple mathematical function.
value(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.function.Constant: Simple mathematical function.
value(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.function.Cos: Simple mathematical function.
value(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.function.Cosh: Simple mathematical function.
value(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.function.Exp: Simple mathematical function.
value(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.function.Expm1: Simple mathematical function.
value(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.function.Gaussian: Simple mathematical function.
value(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.function.HarmonicOscillator: Simple mathematical function.
value(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.function.Identity: Simple mathematical function.
value(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.function.Inverse: Simple mathematical function.
value(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.function.Log: Simple mathematical function.
value(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.function.Log10: Simple mathematical function.
value(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.function.Log1p: Simple mathematical function.
value(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.function.Logistic: Simple mathematical function.
value(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.function.Logit: Simple mathematical function.
value(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.function.Minus: Simple mathematical function.
value(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.function.Power: Simple mathematical function.
value(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.function.Sigmoid: Simple mathematical function.
value(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.function.Sin: Simple mathematical function.
value(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.function.Sinc: Simple mathematical function.
value(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.function.Sinh: Simple mathematical function.
value(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.function.Sqrt: Simple mathematical function.
value(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.function.Tan: Simple mathematical function.
value(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.function.Tanh: Simple mathematical function.
value(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.interpolation.HermiteInterpolator: Interpolate value at a specified abscissa.
value(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunction: Simple mathematical function.
value(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunctionNewtonForm: Simple mathematical function.
value(DerivativeStructure) - Method in class org.apache.commons.math4.analysis.polynomials.PolynomialSplineFunction: Simple mathematical function.
value(DerivativeStructure[]) - Method in interface org.apache.commons.math4.analysis.differentiation.MultivariateDifferentiableFunction: Compute the value for the function at the given point.
value(DerivativeStructure[]) - Method in interface org.apache.commons.math4.analysis.differentiation.MultivariateDifferentiableVectorFunction: Compute the value for the function at the given point.
value(T) - Method in class org.apache.commons.math4.analysis.interpolation.FieldHermiteInterpolator: Interpolate value at a specified abscissa.
value(T) - Method in interface org.apache.commons.math4.analysis.RealFieldUnivariateFunction: Compute the value of the function.
valueOf(String) - Static method in enum org.apache.commons.math4.analysis.solvers.AllowedSolution: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math4.analysis.solvers.BaseSecantSolver.Method: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math4.exception.util.LocalizedFormats: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math4.stat.descriptive.moment.SemiVariance.Direction: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math4.stat.descriptive.rank.Percentile.EstimationType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math4.stat.inference.AlternativeHypothesis: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math4.stat.ranking.NaNStrategy: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math4.stat.ranking.TiesStrategy: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math4.util.MathArrays.OrderDirection: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math4.util.ResizableDoubleArray.ExpansionMode: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.rng.simple.RandomSource: Returns the enum constant of this type with the specified name.
values() - Static method in enum org.apache.commons.math4.analysis.solvers.AllowedSolution: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math4.analysis.solvers.BaseSecantSolver.Method: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math4.exception.util.LocalizedFormats: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math4.stat.descriptive.moment.SemiVariance.Direction: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math4.stat.descriptive.rank.Percentile.EstimationType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math4.stat.inference.AlternativeHypothesis: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math4.stat.ranking.NaNStrategy: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math4.stat.ranking.TiesStrategy: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math4.util.MathArrays.OrderDirection: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math4.util.ResizableDoubleArray.ExpansionMode: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.rng.simple.RandomSource: Returns an array containing the constants of this enum type, in the order they are declared.
VALUES_ADDED_BEFORE_CONFIGURING_STATISTIC - org.apache.commons.math4.exception.util.LocalizedFormats
valuesIterator() - Method in class org.apache.commons.math4.stat.Frequency: Returns an Iterator over the set of values that have been added.
variance(double[]) - Static method in class org.apache.commons.math4.stat.StatUtils: Returns the variance of the entries in the input array, or Double.NaN if the array is empty.
variance(double[], double) - Static method in class org.apache.commons.math4.stat.StatUtils: Returns the variance of the entries in the input array, using the precomputed mean value.
variance(double[], double, int, int) - Static method in class org.apache.commons.math4.stat.StatUtils: Returns the variance of the entries in the specified portion of the input array, using the precomputed mean value.
variance(double[], int, int) - Static method in class org.apache.commons.math4.stat.StatUtils: Returns the variance of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
Variance - Class in org.apache.commons.math4.stat.descriptive.moment: Computes the variance of the available values.
Variance() - Constructor for class org.apache.commons.math4.stat.descriptive.moment.Variance: Constructs a Variance with default (true) isBiasCorrected property.
Variance(boolean) - Constructor for class org.apache.commons.math4.stat.descriptive.moment.Variance: Constructs a Variance with the specified isBiasCorrected property.
Variance(boolean, SecondMoment) - Constructor for class org.apache.commons.math4.stat.descriptive.moment.Variance: Constructs a Variance with the specified isBiasCorrected property and the supplied external second moment.
Variance(SecondMoment) - Constructor for class org.apache.commons.math4.stat.descriptive.moment.Variance: Constructs a Variance based on an external second moment.
Variance(Variance) - Constructor for class org.apache.commons.math4.stat.descriptive.moment.Variance: Copy constructor, creates a new Variance identical to the original.
varianceDifference(double[], double[], double) - Static method in class org.apache.commons.math4.stat.StatUtils: Returns the variance of the (signed) differences between corresponding elements of the input arrays -- i.e., var(sample1[i] - sample2[i]).
VECTOR - Static variable in class org.apache.commons.math4.linear.ConjugateGradient: Key for the exception context.
VECTOR_LENGTH_MISMATCH - org.apache.commons.math4.exception.util.LocalizedFormats
VECTOR_MUST_HAVE_AT_LEAST_ONE_ELEMENT - org.apache.commons.math4.exception.util.LocalizedFormats
VectorialCovariance - Class in org.apache.commons.math4.stat.descriptive.moment: Returns the covariance matrix of the available vectors.
VectorialCovariance(int, boolean) - Constructor for class org.apache.commons.math4.stat.descriptive.moment.VectorialCovariance: Constructs a VectorialCovariance.
VectorialMean - Class in org.apache.commons.math4.stat.descriptive.moment: Returns the arithmetic mean of the available vectors.
VectorialMean(int) - Constructor for class org.apache.commons.math4.stat.descriptive.moment.VectorialMean: Constructs a VectorialMean.
verifyBracketing(double, double) - Method in class org.apache.commons.math4.analysis.solvers.BaseAbstractUnivariateSolver: Check that the endpoints specify an interval and the function takes opposite signs at the endpoints.
verifyBracketing(UnivariateFunction, double, double) - Static method in class org.apache.commons.math4.analysis.solvers.UnivariateSolverUtils: Check that the endpoints specify an interval and the end points bracket a root.
verifyInputArray(double[], double[]) - Static method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunctionNewtonForm: Verifies that the input arrays are valid.
verifyInterpolationArray(double[], double[], boolean) - Static method in class org.apache.commons.math4.analysis.polynomials.PolynomialFunctionLagrangeForm: Check that the interpolation arrays are valid.
verifyInterval(double, double) - Method in class org.apache.commons.math4.analysis.solvers.BaseAbstractUnivariateSolver: Check that the endpoints specify an interval.
verifyInterval(double, double) - Static method in class org.apache.commons.math4.analysis.solvers.UnivariateSolverUtils: Check that the endpoints specify an interval.
verifySequence(double, double, double) - Method in class org.apache.commons.math4.analysis.solvers.BaseAbstractUnivariateSolver: Check that lower < initial < upper.
verifySequence(double, double, double) - Static method in class org.apache.commons.math4.analysis.solvers.UnivariateSolverUtils: Check that lower < initial < upper.
verifyValues(double[], double[], int, int) - Static method in class org.apache.commons.math4.util.MathArrays: This method is used to verify that the begin and length parameters designate a subarray of positive length and the weights are all non-negative, non-NaN, finite, and not all zero.
verifyValues(double[], double[], int, int, boolean) - Static method in class org.apache.commons.math4.util.MathArrays: This method is used to verify that the begin and length parameters designate a subarray of positive length and the weights are all non-negative, non-NaN, finite, and not all zero.
verifyValues(double[], int, int) - Static method in class org.apache.commons.math4.util.MathArrays: This method is used to verify that the input parameters designate a subarray of positive length.
verifyValues(double[], int, int, boolean) - Static method in class org.apache.commons.math4.util.MathArrays: This method is used to verify that the input parameters designate a subarray of positive length.
visit(int, double) - Method in interface org.apache.commons.math4.linear.RealVectorChangingVisitor: Visit one entry of the vector.
visit(int, double) - Method in interface org.apache.commons.math4.linear.RealVectorPreservingVisitor: Visit one entry of the vector.
visit(int, int, double) - Method in class org.apache.commons.math4.linear.DefaultRealMatrixChangingVisitor: Visit one matrix entry.
visit(int, int, double) - Method in class org.apache.commons.math4.linear.DefaultRealMatrixPreservingVisitor: Visit one matrix entry.
visit(int, int, double) - Method in interface org.apache.commons.math4.linear.RealMatrixChangingVisitor: Visit one matrix entry.
visit(int, int, double) - Method in interface org.apache.commons.math4.linear.RealMatrixPreservingVisitor: Visit one matrix entry.
visit(int, int, T) - Method in class org.apache.commons.math4.linear.DefaultFieldMatrixChangingVisitor: Visit one matrix entry.
visit(int, int, T) - Method in class org.apache.commons.math4.linear.DefaultFieldMatrixPreservingVisitor: Visit one matrix entry.
visit(int, int, T) - Method in interface org.apache.commons.math4.linear.FieldMatrixChangingVisitor: Visit one matrix entry.
visit(int, int, T) - Method in interface org.apache.commons.math4.linear.FieldMatrixPreservingVisitor: Visit one matrix entry.
visit(int, T) - Method in interface org.apache.commons.math4.linear.FieldVectorChangingVisitor: Visit one entry of the vector.
visit(int, T) - Method in interface org.apache.commons.math4.linear.FieldVectorPreservingVisitor: Visit one entry of the vector.

W

walkInColumnOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math4.linear.Array2DRowFieldMatrix: Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(FieldMatrixChangingVisitor<T>) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math4.linear.Array2DRowFieldMatrix: Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math4.linear.Array2DRowFieldMatrix: Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(FieldMatrixPreservingVisitor<T>) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Visit (but don't change) some matrix entries in column order.
walkInColumnOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math4.linear.Array2DRowFieldMatrix: Visit (but don't change) some matrix entries in column order.
walkInColumnOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Visit (but don't change) some matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math4.linear.Array2DRowRealMatrix: Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor) - Method in interface org.apache.commons.math4.linear.RealMatrix: Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math4.linear.Array2DRowRealMatrix: Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in interface org.apache.commons.math4.linear.RealMatrix: Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math4.linear.Array2DRowRealMatrix: Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor) - Method in interface org.apache.commons.math4.linear.RealMatrix: Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Visit (but don't change) some matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math4.linear.Array2DRowRealMatrix: Visit (but don't change) some matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in interface org.apache.commons.math4.linear.RealMatrix: Visit (but don't change) some matrix entries in column order.
walkInDefaultOrder(FieldVectorChangingVisitor<T>) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Visits (and possibly alters) all entries of this vector in default order (increasing index).
walkInDefaultOrder(FieldVectorChangingVisitor<T>) - Method in class org.apache.commons.math4.linear.SparseFieldVector: Visits (and possibly alters) all entries of this vector in default order (increasing index).
walkInDefaultOrder(FieldVectorChangingVisitor<T>, int, int) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Visits (and possibly alters) some entries of this vector in default order (increasing index).
walkInDefaultOrder(FieldVectorChangingVisitor<T>, int, int) - Method in class org.apache.commons.math4.linear.SparseFieldVector: Visits (and possibly alters) some entries of this vector in default order (increasing index).
walkInDefaultOrder(FieldVectorPreservingVisitor<T>) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Visits (but does not alter) all entries of this vector in default order (increasing index).
walkInDefaultOrder(FieldVectorPreservingVisitor<T>) - Method in class org.apache.commons.math4.linear.SparseFieldVector: Visits (but does not alter) all entries of this vector in default order (increasing index).
walkInDefaultOrder(FieldVectorPreservingVisitor<T>, int, int) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Visits (but does not alter) some entries of this vector in default order (increasing index).
walkInDefaultOrder(FieldVectorPreservingVisitor<T>, int, int) - Method in class org.apache.commons.math4.linear.SparseFieldVector: Visits (but does not alter) some entries of this vector in default order (increasing index).
walkInDefaultOrder(RealVectorChangingVisitor) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Visits (and possibly alters) all entries of this vector in default order (increasing index).
walkInDefaultOrder(RealVectorChangingVisitor) - Method in class org.apache.commons.math4.linear.RealVector: Visits (and possibly alters) all entries of this vector in default order (increasing index).
walkInDefaultOrder(RealVectorChangingVisitor, int, int) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Visits (and possibly alters) some entries of this vector in default order (increasing index).
walkInDefaultOrder(RealVectorChangingVisitor, int, int) - Method in class org.apache.commons.math4.linear.RealVector: Visits (and possibly alters) some entries of this vector in default order (increasing index).
walkInDefaultOrder(RealVectorPreservingVisitor) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Visits (but does not alter) all entries of this vector in default order (increasing index).
walkInDefaultOrder(RealVectorPreservingVisitor) - Method in class org.apache.commons.math4.linear.RealVector: Visits (but does not alter) all entries of this vector in default order (increasing index).
walkInDefaultOrder(RealVectorPreservingVisitor, int, int) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Visits (but does not alter) some entries of this vector in default order (increasing index).
walkInDefaultOrder(RealVectorPreservingVisitor, int, int) - Method in class org.apache.commons.math4.linear.RealVector: Visits (but does not alter) some entries of this vector in default order (increasing index).
walkInOptimizedOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Visit (and possibly change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Visit (and possibly change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixChangingVisitor<T>) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Visit (and possibly change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Visit (and possibly change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Visit (and possibly change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Visit (and possibly change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Visit (but don't change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Visit (but don't change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Visit (but don't change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Visit (but don't change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Visit (but don't change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Visit (but don't change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldVectorChangingVisitor<T>) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Visits (and possibly alters) all entries of this vector in optimized order.
walkInOptimizedOrder(FieldVectorChangingVisitor<T>) - Method in class org.apache.commons.math4.linear.SparseFieldVector: Visits (and possibly alters) all entries of this vector in optimized order.
walkInOptimizedOrder(FieldVectorChangingVisitor<T>, int, int) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Visits (and possibly change) some entries of this vector in optimized order.
walkInOptimizedOrder(FieldVectorChangingVisitor<T>, int, int) - Method in class org.apache.commons.math4.linear.SparseFieldVector: Visits (and possibly change) some entries of this vector in optimized order.
walkInOptimizedOrder(FieldVectorPreservingVisitor<T>) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Visits (but does not alter) all entries of this vector in optimized order.
walkInOptimizedOrder(FieldVectorPreservingVisitor<T>) - Method in class org.apache.commons.math4.linear.SparseFieldVector: Visits (but does not alter) all entries of this vector in optimized order.
walkInOptimizedOrder(FieldVectorPreservingVisitor<T>, int, int) - Method in class org.apache.commons.math4.linear.ArrayFieldVector: Visits (but does not alter) some entries of this vector in optimized order.
walkInOptimizedOrder(FieldVectorPreservingVisitor<T>, int, int) - Method in class org.apache.commons.math4.linear.SparseFieldVector: Visits (but does not alter) some entries of this vector in optimized order.
walkInOptimizedOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Visit (and possibly change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Visit (and possibly change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixChangingVisitor) - Method in interface org.apache.commons.math4.linear.RealMatrix: Visit (and possibly change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Visit (and possibly change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Visit (and possibly change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in interface org.apache.commons.math4.linear.RealMatrix: Visit (and possibly change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Visit (but don't change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Visit (but don't change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixPreservingVisitor) - Method in interface org.apache.commons.math4.linear.RealMatrix: Visit (but don't change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Visit (but don't change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Visit (but don't change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in interface org.apache.commons.math4.linear.RealMatrix: Visit (but don't change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealVectorChangingVisitor) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Visits (and possibly alters) all entries of this vector in optimized order.
walkInOptimizedOrder(RealVectorChangingVisitor) - Method in class org.apache.commons.math4.linear.RealVector: Visits (and possibly alters) all entries of this vector in optimized order.
walkInOptimizedOrder(RealVectorChangingVisitor, int, int) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Visits (and possibly change) some entries of this vector in optimized order.
walkInOptimizedOrder(RealVectorChangingVisitor, int, int) - Method in class org.apache.commons.math4.linear.RealVector: Visits (and possibly change) some entries of this vector in optimized order.
walkInOptimizedOrder(RealVectorPreservingVisitor) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Visits (but does not alter) all entries of this vector in optimized order.
walkInOptimizedOrder(RealVectorPreservingVisitor) - Method in class org.apache.commons.math4.linear.RealVector: Visits (but does not alter) all entries of this vector in optimized order.
walkInOptimizedOrder(RealVectorPreservingVisitor, int, int) - Method in class org.apache.commons.math4.linear.ArrayRealVector: Visits (but does not alter) some entries of this vector in optimized order.
walkInOptimizedOrder(RealVectorPreservingVisitor, int, int) - Method in class org.apache.commons.math4.linear.RealVector: Visits (but does not alter) some entries of this vector in optimized order.
walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math4.linear.Array2DRowFieldMatrix: Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math4.linear.Array2DRowFieldMatrix: Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Visit (but don't change) all matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math4.linear.Array2DRowFieldMatrix: Visit (but don't change) all matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Visit (but don't change) all matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Visit (but don't change) all matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math4.linear.AbstractFieldMatrix: Visit (but don't change) some matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math4.linear.Array2DRowFieldMatrix: Visit (but don't change) some matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math4.linear.BlockFieldMatrix: Visit (but don't change) some matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math4.linear.FieldMatrix: Visit (but don't change) some matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math4.linear.Array2DRowRealMatrix: Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor) - Method in interface org.apache.commons.math4.linear.RealMatrix: Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math4.linear.Array2DRowRealMatrix: Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in interface org.apache.commons.math4.linear.RealMatrix: Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Visit (but don't change) all matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math4.linear.Array2DRowRealMatrix: Visit (but don't change) all matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Visit (but don't change) all matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor) - Method in interface org.apache.commons.math4.linear.RealMatrix: Visit (but don't change) all matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math4.linear.AbstractRealMatrix: Visit (but don't change) some matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math4.linear.Array2DRowRealMatrix: Visit (but don't change) some matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math4.linear.BlockRealMatrix: Visit (but don't change) some matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in interface org.apache.commons.math4.linear.RealMatrix: Visit (but don't change) some matrix entries in row order.
Weibull - Class in io.virtdata.continuous.int_double
Weibull - Class in io.virtdata.continuous.long_double
Weibull(double, double, String...) - Constructor for class io.virtdata.continuous.int_double.Weibull
Weibull(double, double, String...) - Constructor for class io.virtdata.continuous.long_double.Weibull
WeibullAutoDocsInfo - Class in io.virtdata.continuous.int_double
WeibullAutoDocsInfo - Class in io.virtdata.continuous.long_double
WeibullAutoDocsInfo() - Constructor for class io.virtdata.continuous.int_double.WeibullAutoDocsInfo
WeibullAutoDocsInfo() - Constructor for class io.virtdata.continuous.long_double.WeibullAutoDocsInfo
WeibullDistribution - Class in org.apache.commons.statistics.distribution: Implementation of the Weibull distribution.
WeibullDistribution(double, double) - Constructor for class org.apache.commons.statistics.distribution.WeibullDistribution: Creates a distribution.
WEIGHT_AT_LEAST_ONE_NON_ZERO - org.apache.commons.math4.exception.util.LocalizedFormats
WeightedEvaluation - Interface in org.apache.commons.math4.stat.descriptive: Weighted evaluation for statistics.
WELL_1024_A - org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is Well1024a.
WELL_1024_A - org.apache.commons.rng.simple.RandomSource: Source of randomness is Well1024a.
WELL_19937_A - org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is Well19937a.
WELL_19937_A - org.apache.commons.rng.simple.RandomSource: Source of randomness is Well19937a.
WELL_19937_C - org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is Well19937c.
WELL_19937_C - org.apache.commons.rng.simple.RandomSource: Source of randomness is Well19937c.
WELL_44497_A - org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is Well44497a.
WELL_44497_A - org.apache.commons.rng.simple.RandomSource: Source of randomness is Well44497a.
WELL_44497_B - org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is Well44497b.
WELL_44497_B - org.apache.commons.rng.simple.RandomSource: Source of randomness is Well44497b.
WELL_512_A - org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is Well512a.
WELL_512_A - org.apache.commons.rng.simple.RandomSource: Source of randomness is Well512a.
Well1024a - Class in org.apache.commons.rng.core.source32: This class implements the WELL1024a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
Well1024a(int[]) - Constructor for class org.apache.commons.rng.core.source32.Well1024a: Creates a new random number generator.
Well19937a - Class in org.apache.commons.rng.core.source32: This class implements the WELL19937a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
Well19937a(int[]) - Constructor for class org.apache.commons.rng.core.source32.Well19937a: Creates a new random number generator.
Well19937c - Class in org.apache.commons.rng.core.source32: This class implements the WELL19937c pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
Well19937c(int[]) - Constructor for class org.apache.commons.rng.core.source32.Well19937c: Creates a new random number generator.
Well44497a - Class in org.apache.commons.rng.core.source32: This class implements the WELL44497a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
Well44497a(int[]) - Constructor for class org.apache.commons.rng.core.source32.Well44497a: Creates a new random number generator.
Well44497b - Class in org.apache.commons.rng.core.source32: This class implements the WELL44497b pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
Well44497b(int[]) - Constructor for class org.apache.commons.rng.core.source32.Well44497b: Creates a new random number generator.
Well512a - Class in org.apache.commons.rng.core.source32: This class implements the WELL512a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
Well512a(int[]) - Constructor for class org.apache.commons.rng.core.source32.Well512a: Creates a new random number generator.
WHOLE_FORMAT - org.apache.commons.math4.exception.util.LocalizedFormats
wilcoxonSignedRank(double[], double[]) - Method in class org.apache.commons.math4.stat.inference.WilcoxonSignedRankTest: Computes the Wilcoxon signed ranked statistic comparing mean for two related samples or repeated measurements on a single sample.
wilcoxonSignedRankTest(double[], double[], boolean) - Method in class org.apache.commons.math4.stat.inference.WilcoxonSignedRankTest: Returns the observed significance level, or p-value, associated with a Wilcoxon signed ranked statistic comparing mean for two related samples or repeated measurements on a single sample.
WilcoxonSignedRankTest - Class in org.apache.commons.math4.stat.inference: An implementation of the Wilcoxon signed-rank test.
WilcoxonSignedRankTest() - Constructor for class org.apache.commons.math4.stat.inference.WilcoxonSignedRankTest: Create a test instance where NaN's are left in place and ties get the average of applicable ranks.
WilcoxonSignedRankTest(NaNStrategy, TiesStrategy) - Constructor for class org.apache.commons.math4.stat.inference.WilcoxonSignedRankTest: Create a test instance using the given strategies for NaN's and ties.
WilsonScoreInterval - Class in org.apache.commons.math4.stat.interval: Implements the Wilson score method for creating a binomial proportion confidence interval.
WilsonScoreInterval() - Constructor for class org.apache.commons.math4.stat.interval.WilsonScoreInterval
withCache(int) - Method in class org.apache.commons.numbers.combinatorics.FactorialDouble: Creates an instance with the specified cache size.
withCache(int) - Method in class org.apache.commons.numbers.combinatorics.LogFactorial: Creates an instance with the specified cache size.
withCallback(IntegerSequence.Incrementor.MaxCountExceededCallback) - Method in class org.apache.commons.math4.util.IntegerSequence.Incrementor: Creates a new instance with a given callback.
withEstimationType(Percentile.EstimationType) - Method in class org.apache.commons.math4.stat.descriptive.rank.Median: Build a new instance similar to the current one except for the estimation type.
withEstimationType(Percentile.EstimationType) - Method in class org.apache.commons.math4.stat.descriptive.rank.Percentile: Build a new instance similar to the current one except for the estimation type.
withIncrement(int) - Method in class org.apache.commons.math4.util.IntegerSequence.Incrementor: Creates a new instance with a given increment.
withinRange(double) - Method in class org.apache.commons.rng.sampling.distribution.PoissonSamplerCache: Check if the mean is within the range where the cache can minimise the construction cost of the PoissonSampler.
withKthSelector(KthSelector) - Method in class org.apache.commons.math4.stat.descriptive.rank.Median: Build a new instance similar to the current one except for the kthSelector instance specifically set.
withKthSelector(KthSelector) - Method in class org.apache.commons.math4.stat.descriptive.rank.Percentile: Build a new instance similar to the current one except for the kthSelector instance specifically set.
withMaximalCount(int) - Method in class org.apache.commons.math4.util.IntegerSequence.Incrementor: Creates a new instance with a given maximal count.
withNaNStrategy(NaNStrategy) - Method in class org.apache.commons.math4.stat.descriptive.rank.Median: Build a new instance similar to the current one except for the NaN handling strategy.
withNaNStrategy(NaNStrategy) - Method in class org.apache.commons.math4.stat.descriptive.rank.Percentile: Build a new instance similar to the current one except for the NaN handling strategy.
withRange(double, double) - Method in class org.apache.commons.rng.sampling.distribution.PoissonSamplerCache: Create a new PoissonSamplerCache with the given range reusing the current cache values.
withStart(int) - Method in class org.apache.commons.math4.util.IntegerSequence.Incrementor: Creates a new instance with a given initial value.
WRONG_BLOCK_LENGTH - org.apache.commons.math4.exception.util.LocalizedFormats
WRONG_NUMBER_OF_POINTS - org.apache.commons.math4.exception.util.LocalizedFormats

X

XO_RO_SHI_RO_128_PLUS - org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is XoRoShiRo128Plus.
XO_RO_SHI_RO_128_PLUS - org.apache.commons.rng.simple.RandomSource: Source of randomness is XoRoShiRo128Plus.
XO_RO_SHI_RO_128_SS - org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is XoRoShiRo128StarStar.
XO_RO_SHI_RO_128_SS - org.apache.commons.rng.simple.RandomSource: Source of randomness is XoRoShiRo128StarStar.
XO_RO_SHI_RO_64_S - org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is XoRoShiRo64Star.
XO_RO_SHI_RO_64_S - org.apache.commons.rng.simple.RandomSource: Source of randomness is XoRoShiRo64Star.
XO_RO_SHI_RO_64_SS - org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is XoRoShiRo64StarStar.
XO_RO_SHI_RO_64_SS - org.apache.commons.rng.simple.RandomSource: Source of randomness is XoRoShiRo64StarStar.
XO_SHI_RO_128_PLUS - org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is XoShiRo128Plus.
XO_SHI_RO_128_PLUS - org.apache.commons.rng.simple.RandomSource: Source of randomness is XoShiRo128Plus.
XO_SHI_RO_128_SS - org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is XoShiRo128StarStar.
XO_SHI_RO_128_SS - org.apache.commons.rng.simple.RandomSource: Source of randomness is XoShiRo128StarStar.
XO_SHI_RO_256_PLUS - org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is XoShiRo256Plus.
XO_SHI_RO_256_PLUS - org.apache.commons.rng.simple.RandomSource: Source of randomness is XoShiRo256Plus.
XO_SHI_RO_256_SS - org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is XoShiRo256StarStar.
XO_SHI_RO_256_SS - org.apache.commons.rng.simple.RandomSource: Source of randomness is XoShiRo256StarStar.
XO_SHI_RO_512_PLUS - org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is XoShiRo512Plus.
XO_SHI_RO_512_PLUS - org.apache.commons.rng.simple.RandomSource: Source of randomness is XoShiRo512Plus.
XO_SHI_RO_512_SS - org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is XoShiRo512StarStar.
XO_SHI_RO_512_SS - org.apache.commons.rng.simple.RandomSource: Source of randomness is XoShiRo512StarStar.
XOR_SHIFT_1024_S - org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is XorShift1024Star.
XOR_SHIFT_1024_S - org.apache.commons.rng.simple.RandomSource: Deprecated.
Since 1.3, where it is recommended to use XOR_SHIFT_1024_S_PHI instead due to its slightly better (more uniform) output. XOR_SHIFT_1024_S is still quite usable but both are variants of the same algorithm and maintain their internal state identically. Their outputs are correlated and the two should not be used together when independent sequences are assumed.
XOR_SHIFT_1024_S_PHI - org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal: Source of randomness is XorShift1024StarPhi.
XOR_SHIFT_1024_S_PHI - org.apache.commons.rng.simple.RandomSource: Source of randomness is XorShift1024StarPhi.
XoRoShiRo128Plus - Class in org.apache.commons.rng.core.source64: A fast 64-bit generator suitable for double generation.
XoRoShiRo128Plus(long[]) - Constructor for class org.apache.commons.rng.core.source64.XoRoShiRo128Plus: Creates a new instance.
XoRoShiRo128Plus(long, long) - Constructor for class org.apache.commons.rng.core.source64.XoRoShiRo128Plus: Creates a new instance using a 2 element seed.
XoRoShiRo128StarStar - Class in org.apache.commons.rng.core.source64: A fast all-purpose 64-bit generator.
XoRoShiRo128StarStar(long[]) - Constructor for class org.apache.commons.rng.core.source64.XoRoShiRo128StarStar: Creates a new instance.
XoRoShiRo128StarStar(long, long) - Constructor for class org.apache.commons.rng.core.source64.XoRoShiRo128StarStar: Creates a new instance using a 2 element seed.
XoRoShiRo64Star - Class in org.apache.commons.rng.core.source32: A fast 32-bit generator suitable for float generation.
XoRoShiRo64Star(int[]) - Constructor for class org.apache.commons.rng.core.source32.XoRoShiRo64Star: Creates a new instance.
XoRoShiRo64Star(int, int) - Constructor for class org.apache.commons.rng.core.source32.XoRoShiRo64Star: Creates a new instance using a 2 element seed.
XoRoShiRo64StarStar - Class in org.apache.commons.rng.core.source32: A fast all-purpose 32-bit generator.
XoRoShiRo64StarStar(int[]) - Constructor for class org.apache.commons.rng.core.source32.XoRoShiRo64StarStar: Creates a new instance.
XoRoShiRo64StarStar(int, int) - Constructor for class org.apache.commons.rng.core.source32.XoRoShiRo64StarStar: Creates a new instance using a 2 element seed.
XorShift1024Star - Class in org.apache.commons.rng.core.source64: A fast RNG implementing the XorShift1024* algorithm.
XorShift1024Star(long[]) - Constructor for class org.apache.commons.rng.core.source64.XorShift1024Star: Creates a new instance.
XorShift1024Star(long[], long) - Constructor for class org.apache.commons.rng.core.source64.XorShift1024Star: Creates a new instance.
XorShift1024StarPhi - Class in org.apache.commons.rng.core.source64: A fast RNG implementing the XorShift1024* algorithm.
XorShift1024StarPhi(long[]) - Constructor for class org.apache.commons.rng.core.source64.XorShift1024StarPhi: Creates a new instance.
XoShiRo128Plus - Class in org.apache.commons.rng.core.source32: A fast 32-bit generator suitable for float generation.
XoShiRo128Plus(int[]) - Constructor for class org.apache.commons.rng.core.source32.XoShiRo128Plus: Creates a new instance.
XoShiRo128Plus(int, int, int, int) - Constructor for class org.apache.commons.rng.core.source32.XoShiRo128Plus: Creates a new instance using a 4 element seed.
XoShiRo128StarStar - Class in org.apache.commons.rng.core.source32: A fast all-purpose 32-bit generator.
XoShiRo128StarStar(int[]) - Constructor for class org.apache.commons.rng.core.source32.XoShiRo128StarStar: Creates a new instance.
XoShiRo128StarStar(int, int, int, int) - Constructor for class org.apache.commons.rng.core.source32.XoShiRo128StarStar: Creates a new instance using a 4 element seed.
XoShiRo256Plus - Class in org.apache.commons.rng.core.source64: A fast 64-bit generator suitable for double generation.
XoShiRo256Plus(long[]) - Constructor for class org.apache.commons.rng.core.source64.XoShiRo256Plus: Creates a new instance.
XoShiRo256Plus(long, long, long, long) - Constructor for class org.apache.commons.rng.core.source64.XoShiRo256Plus: Creates a new instance using a 4 element seed.
XoShiRo256StarStar - Class in org.apache.commons.rng.core.source64: A fast all-purpose 64-bit generator.
XoShiRo256StarStar(long[]) - Constructor for class org.apache.commons.rng.core.source64.XoShiRo256StarStar: Creates a new instance.
XoShiRo256StarStar(long, long, long, long) - Constructor for class org.apache.commons.rng.core.source64.XoShiRo256StarStar: Creates a new instance using a 4 element seed.
XoShiRo512Plus - Class in org.apache.commons.rng.core.source64: A fast 64-bit generator suitable for double generation.
XoShiRo512Plus(long[]) - Constructor for class org.apache.commons.rng.core.source64.XoShiRo512Plus: Creates a new instance.
XoShiRo512Plus(long, long, long, long, long, long, long, long) - Constructor for class org.apache.commons.rng.core.source64.XoShiRo512Plus: Creates a new instance using an 8 element seed.
XoShiRo512StarStar - Class in org.apache.commons.rng.core.source64: A fast all-purpose generator.
XoShiRo512StarStar(long[]) - Constructor for class org.apache.commons.rng.core.source64.XoShiRo512StarStar: Creates a new instance.
XoShiRo512StarStar(long, long, long, long, long, long, long, long) - Constructor for class org.apache.commons.rng.core.source64.XoShiRo512StarStar: Creates a new instance using an 8 element seed.

Z

zero() - Method in interface org.apache.commons.numbers.core.Addition: Identity element.
zero() - Method in class org.apache.commons.numbers.fraction.Fraction: Identity element.
ZERO - Static variable in class org.apache.commons.math4.fraction.BigFraction: A fraction representing "0".
ZERO - Static variable in class org.apache.commons.math4.fraction.Fraction: A fraction representing "0".
ZERO - Static variable in class org.apache.commons.math4.util.BigReal: A big real representing 0.
ZERO - Static variable in class org.apache.commons.math4.util.Decimal64: The constant value of 0d as a Decimal64.
ZERO - Static variable in class org.apache.commons.numbers.complex.Complex: A complex number representing zero.
ZERO - Static variable in class org.apache.commons.numbers.fraction.BigFraction: A fraction representing "0".
ZERO - Static variable in class org.apache.commons.numbers.fraction.Fraction: A fraction representing "0".
ZERO_DENOMINATOR - org.apache.commons.math4.exception.util.LocalizedFormats
ZERO_DENOMINATOR_IN_FRACTION - org.apache.commons.math4.exception.util.LocalizedFormats
ZERO_FRACTION_TO_DIVIDE_BY - org.apache.commons.math4.exception.util.LocalizedFormats
ZERO_NORM - org.apache.commons.math4.exception.util.LocalizedFormats
ZERO_NORM_FOR_ROTATION_AXIS - org.apache.commons.math4.exception.util.LocalizedFormats
ZERO_NORM_FOR_ROTATION_DEFINING_VECTOR - org.apache.commons.math4.exception.util.LocalizedFormats
ZERO_NOT_ALLOWED - org.apache.commons.math4.exception.util.LocalizedFormats
ZeroException - Exception in org.apache.commons.math4.exception: Exception to be thrown when zero is provided where it is not allowed.
ZeroException() - Constructor for exception org.apache.commons.math4.exception.ZeroException: Construct the exception.
ZeroException(Localizable, Object...) - Constructor for exception org.apache.commons.math4.exception.ZeroException: Construct the exception with a specific context.
ZigguratNormalizedGaussianSampler - Class in org.apache.commons.rng.sampling.distribution: Marsaglia and Tsang "Ziggurat" method for sampling from a Gaussian distribution with mean 0 and standard deviation 1.
ZigguratNormalizedGaussianSampler(UniformRandomProvider) - Constructor for class org.apache.commons.rng.sampling.distribution.ZigguratNormalizedGaussianSampler
Zipf - Class in io.virtdata.discrete.int_int
Zipf - Class in io.virtdata.discrete.int_long
Zipf - Class in io.virtdata.discrete.long_int
Zipf - Class in io.virtdata.discrete.long_long
Zipf(int, double, String...) - Constructor for class io.virtdata.discrete.int_int.Zipf
Zipf(int, double, String...) - Constructor for class io.virtdata.discrete.int_long.Zipf
Zipf(int, double, String...) - Constructor for class io.virtdata.discrete.long_int.Zipf
Zipf(int, double, String...) - Constructor for class io.virtdata.discrete.long_long.Zipf
ZipfAutoDocsInfo - Class in io.virtdata.discrete.int_int
ZipfAutoDocsInfo - Class in io.virtdata.discrete.int_long
ZipfAutoDocsInfo - Class in io.virtdata.discrete.long_int
ZipfAutoDocsInfo - Class in io.virtdata.discrete.long_long
ZipfAutoDocsInfo() - Constructor for class io.virtdata.discrete.int_int.ZipfAutoDocsInfo
ZipfAutoDocsInfo() - Constructor for class io.virtdata.discrete.int_long.ZipfAutoDocsInfo
ZipfAutoDocsInfo() - Constructor for class io.virtdata.discrete.long_int.ZipfAutoDocsInfo
ZipfAutoDocsInfo() - Constructor for class io.virtdata.discrete.long_long.ZipfAutoDocsInfo
ZipfDistribution - Class in org.apache.commons.statistics.distribution: Implementation of the Zipf distribution.
ZipfDistribution(int, double) - Constructor for class org.apache.commons.statistics.distribution.ZipfDistribution: Creates a distribution.

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