Uses of Class org.apache.commons.math4.exception.NumberIsTooLargeException (VirtualDataSet API)

Packages that use NumberIsTooLargeException
Package	Description
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	This package holds the main interfaces and basic building block classes dealing with differentiation.
org.apache.commons.math4.analysis.integration	Numerical integration (quadrature) algorithms for univariate real functions.
org.apache.commons.math4.analysis.solvers	Root finding algorithms, for univariate real functions.
org.apache.commons.math4.distribution	Implementations of common discrete and continuous distributions.
org.apache.commons.math4.linear	Linear algebra support.
org.apache.commons.math4.stat.inference	Classes providing hypothesis testing.
org.apache.commons.math4.stat.interval	Classes providing binomial proportion confidence interval construction.
org.apache.commons.math4.util	Convenience routines and common data structures used throughout the commons-math library.

Uses of NumberIsTooLargeException in org.apache.commons.math4.analysis

Methods in org.apache.commons.math4.analysis that throw NumberIsTooLargeException
Modifier and Type	Method	Description
`static double[]`	FunctionUtils.`sample(UnivariateFunction f, double min, double max, int n)`	Samples the specified univariate real function on the specified interval.

Uses of NumberIsTooLargeException in org.apache.commons.math4.analysis.differentiation

Methods in org.apache.commons.math4.analysis.differentiation that throw NumberIsTooLargeException
Modifier and Type	Method	Description
`static DSCompiler`	DSCompiler.`getCompiler(int parameters, int order)`	Get the compiler for number of free parameters and order.
`double`	DerivativeStructure.`getPartialDerivative(int... orders)`	Get a partial derivative.
`int`	DSCompiler.`getPartialDerivativeIndex(int... orders)`	Get the index of a partial derivative in the array.

Constructors in org.apache.commons.math4.analysis.differentiation that throw NumberIsTooLargeException
Constructor	Description
`DerivativeStructure(int parameters, int order)`	Build an instance with all values and derivatives set to 0.
`DerivativeStructure(int parameters, int order, double value)`	Build an instance representing a constant value.
`DerivativeStructure(int parameters, int order, double... derivatives)`	Build an instance from all its derivatives.
`DerivativeStructure(int parameters, int order, int index, double value)`	Build an instance representing a variable.
`FiniteDifferencesDifferentiator(int nbPoints, double stepSize, double tLower, double tUpper)`	Build a differentiator with number of points and step size when independent variable is bounded.

Uses of NumberIsTooLargeException in org.apache.commons.math4.analysis.integration

Constructors in org.apache.commons.math4.analysis.integration that throw NumberIsTooLargeException
Constructor	Description
`MidPointIntegrator(double relativeAccuracy, double absoluteAccuracy, int minimalIterationCount, int maximalIterationCount)`	Build a midpoint integrator with given accuracies and iterations counts.
`MidPointIntegrator(int minimalIterationCount, int maximalIterationCount)`	Build a midpoint integrator with given iteration counts.
`RombergIntegrator(double relativeAccuracy, double absoluteAccuracy, int minimalIterationCount, int maximalIterationCount)`	Build a Romberg integrator with given accuracies and iterations counts.
`RombergIntegrator(int minimalIterationCount, int maximalIterationCount)`	Build a Romberg integrator with given iteration counts.
`SimpsonIntegrator(double relativeAccuracy, double absoluteAccuracy, int minimalIterationCount, int maximalIterationCount)`	Build a Simpson integrator with given accuracies and iterations counts.
`SimpsonIntegrator(int minimalIterationCount, int maximalIterationCount)`	Build a Simpson integrator with given iteration counts.
`TrapezoidIntegrator(double relativeAccuracy, double absoluteAccuracy, int minimalIterationCount, int maximalIterationCount)`	Build a trapezoid integrator with given accuracies and iterations counts.
`TrapezoidIntegrator(int minimalIterationCount, int maximalIterationCount)`	Build a trapezoid integrator with given iteration counts.

Uses of NumberIsTooLargeException in org.apache.commons.math4.analysis.solvers

Methods in org.apache.commons.math4.analysis.solvers that throw NumberIsTooLargeException
Modifier and Type	Method	Description
`protected double`	BracketingNthOrderBrentSolver.`doSolve()`	Method for implementing actual optimization algorithms in derived classes.
`protected double`	BrentSolver.`doSolve()`	Method for implementing actual optimization algorithms in derived classes.
`double`	LaguerreSolver.`doSolve()`	Method for implementing actual optimization algorithms in derived classes.
`protected double`	MullerSolver.`doSolve()`	Method for implementing actual optimization algorithms in derived classes.
`protected double`	MullerSolver2.`doSolve()`	Method for implementing actual optimization algorithms in derived classes.
`double`	BracketingNthOrderBrentSolver.`solve(int maxEval, UnivariateFunction f, double min, double max, double startValue, AllowedSolution allowedSolution)`	Solve for a zero in the given interval, start at `startValue`.
`double`	BracketingNthOrderBrentSolver.`solve(int maxEval, UnivariateFunction f, double min, double max, AllowedSolution allowedSolution)`	Solve for a zero in the given interval.
`protected void`	BaseAbstractUnivariateSolver.`verifyInterval(double lower, double upper)`	Check that the endpoints specify an interval.
`static void`	UnivariateSolverUtils.`verifyInterval(double lower, double upper)`	Check that the endpoints specify an interval.
`protected void`	BaseAbstractUnivariateSolver.`verifySequence(double lower, double initial, double upper)`	Check that `lower < initial < upper`.
`static void`	UnivariateSolverUtils.`verifySequence(double lower, double initial, double upper)`	Check that `lower < initial < upper`.

Uses of NumberIsTooLargeException in org.apache.commons.math4.distribution

Methods in org.apache.commons.math4.distribution that throw NumberIsTooLargeException
Modifier and Type	Method	Description
`double`	AbstractIntegerDistribution.`probability(int x0, int x1)`	For a random variable `X` whose values are distributed according to this distribution, this method returns `P(x0 < X <= x1)`.

Uses of NumberIsTooLargeException in org.apache.commons.math4.linear

Methods in org.apache.commons.math4.linear that throw NumberIsTooLargeException
Modifier and Type	Method	Description
`void`	DiagonalMatrix.`addToEntry(int row, int column, double increment)`	Adds (in place) the specified value to the specified entry of `this` matrix.
`OpenMapRealMatrix`	OpenMapRealMatrix.`createMatrix(int rowDimension, int columnDimension)`	Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
`OpenMapRealMatrix`	OpenMapRealMatrix.`multiply(OpenMapRealMatrix m)`	Postmultiply this matrix by `m`.
`RealMatrix`	OpenMapRealMatrix.`multiply(RealMatrix m)`	Returns the result of postmultiplying `this` by `m`.
`void`	DiagonalMatrix.`setEntry(int row, int column, double value)`	Set the entry in the specified row and column.

Constructors in org.apache.commons.math4.linear that throw NumberIsTooLargeException
Constructor	Description
`ArrayFieldVector(Field<T> field, T[] d, int pos, int size)`	Construct a vector from part of a array.
`ArrayFieldVector(T[] d, int pos, int size)`	Construct a vector from part of a array.
`ArrayRealVector(double[] d, int pos, int size)`	Construct a vector from part of a array.
`ArrayRealVector(java.lang.Double[] d, int pos, int size)`	Construct a vector from part of an array.
`OpenMapRealMatrix(int rowDimension, int columnDimension)`	Build a sparse matrix with the supplied row and column dimensions.

Uses of NumberIsTooLargeException in org.apache.commons.math4.stat.inference

Methods in org.apache.commons.math4.stat.inference that throw NumberIsTooLargeException
Modifier and Type	Method	Description
`double`	WilcoxonSignedRankTest.`wilcoxonSignedRankTest(double[] x, double[] y, boolean exactPValue)`	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.

Uses of NumberIsTooLargeException in org.apache.commons.math4.stat.interval

Methods in org.apache.commons.math4.stat.interval that throw NumberIsTooLargeException
Modifier and Type	Method	Description
`ConfidenceInterval`	BinomialConfidenceInterval.`createInterval(int numberOfTrials, int numberOfSuccesses, double confidenceLevel)`	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.

Uses of NumberIsTooLargeException in org.apache.commons.math4.util

Methods in org.apache.commons.math4.util that throw NumberIsTooLargeException
Modifier and Type	Method	Description
`static long`	CombinatoricsUtils.`stirlingS2(int n, int k)`	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.