Hierarchy For All Packages
Package Hierarchies:- io.virtdata.continuous.common,
- io.virtdata.continuous.int_double,
- io.virtdata.continuous.long_double,
- io.virtdata.discrete.common,
- io.virtdata.discrete.int_int,
- io.virtdata.discrete.int_long,
- io.virtdata.discrete.long_int,
- io.virtdata.discrete.long_long,
- org.apache.commons,
- org.apache.commons.math4,
- org.apache.commons.math4.analysis,
- org.apache.commons.math4.analysis.differentiation,
- org.apache.commons.math4.analysis.function,
- org.apache.commons.math4.analysis.integration,
- org.apache.commons.math4.analysis.integration.gauss,
- org.apache.commons.math4.analysis.interpolation,
- org.apache.commons.math4.analysis.polynomials,
- org.apache.commons.math4.analysis.solvers,
- org.apache.commons.math4.distribution,
- org.apache.commons.math4.distribution.fitting,
- org.apache.commons.math4.exception,
- org.apache.commons.math4.exception.util,
- org.apache.commons.math4.fraction,
- org.apache.commons.math4.linear,
- org.apache.commons.math4.random,
- org.apache.commons.math4.stat,
- org.apache.commons.math4.stat.correlation,
- org.apache.commons.math4.stat.descriptive,
- org.apache.commons.math4.stat.descriptive.moment,
- org.apache.commons.math4.stat.descriptive.rank,
- org.apache.commons.math4.stat.descriptive.summary,
- org.apache.commons.math4.stat.inference,
- org.apache.commons.math4.stat.interval,
- org.apache.commons.math4.stat.ranking,
- org.apache.commons.math4.stat.regression,
- org.apache.commons.math4.util,
- org.apache.commons.numbers.arrays,
- org.apache.commons.numbers.combinatorics,
- org.apache.commons.numbers.complex,
- org.apache.commons.numbers.complex.streams,
- org.apache.commons.numbers.core,
- org.apache.commons.numbers.fraction,
- org.apache.commons.numbers.gamma,
- org.apache.commons.rng,
- org.apache.commons.rng.core,
- org.apache.commons.rng.core.source32,
- org.apache.commons.rng.core.source64,
- org.apache.commons.rng.core.util,
- org.apache.commons.rng.sampling,
- org.apache.commons.rng.sampling.distribution,
- org.apache.commons.rng.simple,
- org.apache.commons.rng.simple.internal,
- org.apache.commons.statistics.distribution
Class Hierarchy
- java.lang.Object
- org.apache.commons.math4.analysis.function.Abs (implements org.apache.commons.math4.analysis.UnivariateFunction)
- org.apache.commons.math4.linear.AbstractFieldMatrix<T> (implements org.apache.commons.math4.linear.FieldMatrix<T>)
- org.apache.commons.math4.linear.Array2DRowFieldMatrix<T> (implements java.io.Serializable)
- org.apache.commons.math4.linear.BlockFieldMatrix<T> (implements java.io.Serializable)
- org.apache.commons.math4.linear.SparseFieldMatrix<T>
- org.apache.commons.math4.distribution.AbstractIntegerDistribution (implements org.apache.commons.math4.distribution.IntegerDistribution, java.io.Serializable)
- org.apache.commons.math4.distribution.EnumeratedIntegerDistribution
- org.apache.commons.math4.stat.regression.AbstractMultipleLinearRegression (implements org.apache.commons.math4.stat.regression.MultipleLinearRegression)
- org.apache.commons.math4.stat.regression.GLSMultipleLinearRegression
- org.apache.commons.math4.stat.regression.OLSMultipleLinearRegression
- org.apache.commons.math4.distribution.AbstractMultivariateRealDistribution (implements org.apache.commons.math4.distribution.MultivariateRealDistribution)
- org.apache.commons.math4.distribution.MixtureMultivariateRealDistribution<T>
- org.apache.commons.math4.distribution.MixtureMultivariateNormalDistribution
- org.apache.commons.math4.distribution.MultivariateNormalDistribution
- org.apache.commons.math4.distribution.MixtureMultivariateRealDistribution<T>
- org.apache.commons.math4.distribution.AbstractRealDistribution (implements org.apache.commons.math4.distribution.RealDistribution, java.io.Serializable)
- org.apache.commons.math4.distribution.EmpiricalDistribution (implements org.apache.commons.statistics.distribution.ContinuousDistribution)
- org.apache.commons.math4.stat.descriptive.AbstractStorelessUnivariateStatistic (implements org.apache.commons.math4.stat.descriptive.StorelessUnivariateStatistic)
- org.apache.commons.math4.stat.descriptive.moment.GeometricMean (implements java.io.Serializable)
- org.apache.commons.math4.stat.descriptive.moment.Kurtosis (implements java.io.Serializable)
- org.apache.commons.math4.stat.descriptive.rank.Max (implements java.io.Serializable)
- org.apache.commons.math4.stat.descriptive.moment.Mean (implements java.io.Serializable, org.apache.commons.math4.stat.descriptive.WeightedEvaluation)
- org.apache.commons.math4.stat.descriptive.rank.Min (implements java.io.Serializable)
- org.apache.commons.math4.stat.descriptive.summary.Product (implements java.io.Serializable, org.apache.commons.math4.stat.descriptive.WeightedEvaluation)
- org.apache.commons.math4.stat.descriptive.rank.PSquarePercentile (implements java.io.Serializable, org.apache.commons.math4.stat.descriptive.StorelessUnivariateStatistic)
- org.apache.commons.math4.stat.descriptive.moment.SecondMoment (implements java.io.Serializable)
- org.apache.commons.math4.stat.descriptive.moment.Skewness (implements java.io.Serializable)
- org.apache.commons.math4.stat.descriptive.moment.StandardDeviation (implements java.io.Serializable)
- org.apache.commons.math4.stat.descriptive.summary.Sum (implements java.io.Serializable)
- org.apache.commons.math4.stat.descriptive.summary.SumOfLogs (implements java.io.Serializable)
- org.apache.commons.math4.stat.descriptive.summary.SumOfSquares (implements java.io.Serializable)
- org.apache.commons.math4.stat.descriptive.moment.Variance (implements java.io.Serializable, org.apache.commons.math4.stat.descriptive.WeightedEvaluation)
- org.apache.commons.math4.stat.descriptive.AbstractUnivariateStatistic (implements org.apache.commons.math4.stat.descriptive.UnivariateStatistic)
- org.apache.commons.math4.stat.descriptive.rank.Percentile (implements java.io.Serializable)
- org.apache.commons.math4.stat.descriptive.rank.Median (implements java.io.Serializable)
- org.apache.commons.math4.stat.descriptive.moment.SemiVariance (implements java.io.Serializable)
- org.apache.commons.math4.stat.descriptive.rank.Percentile (implements java.io.Serializable)
- org.apache.commons.rng.core.source32.AbstractWell.IndexTable
- org.apache.commons.math4.analysis.function.Acos (implements org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableFunction)
- org.apache.commons.math4.analysis.function.Acosh (implements org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableFunction)
- org.apache.commons.math4.analysis.function.Add (implements org.apache.commons.math4.analysis.BivariateFunction)
- org.apache.commons.math4.stat.descriptive.AggregateSummaryStatistics (implements java.io.Serializable, org.apache.commons.math4.stat.descriptive.StatisticalSummary)
- org.apache.commons.math4.stat.interval.AgrestiCoullInterval (implements org.apache.commons.math4.stat.interval.BinomialConfidenceInterval)
- org.apache.commons.math4.analysis.interpolation.AkimaSplineInterpolator (implements org.apache.commons.math4.analysis.interpolation.UnivariateInterpolator)
- org.apache.commons.math4.exception.util.ArgUtils
- org.apache.commons.numbers.core.ArithmeticUtils
- org.apache.commons.math4.linear.ArrayFieldVector<T> (implements org.apache.commons.math4.linear.FieldVector<T>, java.io.Serializable)
- org.apache.commons.math4.analysis.function.Asin (implements org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableFunction)
- org.apache.commons.math4.analysis.function.Asinh (implements org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableFunction)
- org.apache.commons.math4.analysis.function.Atan (implements org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableFunction)
- org.apache.commons.math4.analysis.function.Atan2 (implements org.apache.commons.math4.analysis.BivariateFunction)
- org.apache.commons.math4.analysis.function.Atanh (implements org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableFunction)
- org.apache.commons.math4.analysis.integration.BaseAbstractUnivariateIntegrator (implements org.apache.commons.math4.analysis.integration.UnivariateIntegrator)
- org.apache.commons.math4.analysis.integration.IterativeLegendreGaussIntegrator
- org.apache.commons.math4.analysis.integration.MidPointIntegrator
- org.apache.commons.math4.analysis.integration.RombergIntegrator
- org.apache.commons.math4.analysis.integration.SimpsonIntegrator
- org.apache.commons.math4.analysis.integration.TrapezoidIntegrator
- org.apache.commons.math4.analysis.solvers.BaseAbstractUnivariateSolver<FUNC> (implements org.apache.commons.math4.analysis.solvers.BaseUnivariateSolver<FUNC>)
- org.apache.commons.math4.analysis.solvers.AbstractPolynomialSolver (implements org.apache.commons.math4.analysis.solvers.PolynomialSolver)
- org.apache.commons.math4.analysis.solvers.LaguerreSolver
- org.apache.commons.math4.analysis.solvers.AbstractUnivariateDifferentiableSolver (implements org.apache.commons.math4.analysis.solvers.UnivariateDifferentiableSolver)
- org.apache.commons.math4.analysis.solvers.NewtonRaphsonSolver
- org.apache.commons.math4.analysis.solvers.AbstractUnivariateSolver (implements org.apache.commons.math4.analysis.solvers.UnivariateSolver)
- org.apache.commons.math4.analysis.solvers.BaseSecantSolver (implements org.apache.commons.math4.analysis.solvers.BracketedUnivariateSolver<FUNC>)
- org.apache.commons.math4.analysis.solvers.IllinoisSolver
- org.apache.commons.math4.analysis.solvers.PegasusSolver
- org.apache.commons.math4.analysis.solvers.RegulaFalsiSolver
- org.apache.commons.math4.analysis.solvers.BisectionSolver
- org.apache.commons.math4.analysis.solvers.BracketingNthOrderBrentSolver (implements org.apache.commons.math4.analysis.solvers.BracketedUnivariateSolver<FUNC>)
- org.apache.commons.math4.analysis.solvers.BrentSolver
- org.apache.commons.math4.analysis.solvers.MullerSolver
- org.apache.commons.math4.analysis.solvers.MullerSolver2
- org.apache.commons.math4.analysis.solvers.RiddersSolver
- org.apache.commons.math4.analysis.solvers.SecantSolver
- org.apache.commons.math4.analysis.solvers.BaseSecantSolver (implements org.apache.commons.math4.analysis.solvers.BracketedUnivariateSolver<FUNC>)
- org.apache.commons.math4.analysis.solvers.AbstractPolynomialSolver (implements org.apache.commons.math4.analysis.solvers.PolynomialSolver)
- org.apache.commons.rng.core.BaseProvider (implements org.apache.commons.rng.RestorableUniformRandomProvider)
- org.apache.commons.rng.core.source32.IntProvider (implements org.apache.commons.rng.core.source32.RandomIntSource)
- org.apache.commons.rng.core.source32.AbstractWell
- org.apache.commons.rng.core.source32.Well1024a
- org.apache.commons.rng.core.source32.Well19937a
- org.apache.commons.rng.core.source32.Well19937c
- org.apache.commons.rng.core.source32.Well44497a
- org.apache.commons.rng.core.source32.Well44497b
- org.apache.commons.rng.core.source32.Well512a
- org.apache.commons.rng.core.source32.ISAACRandom
- org.apache.commons.rng.core.source32.JDKRandom
- org.apache.commons.rng.core.source32.KISSRandom
- org.apache.commons.rng.core.source32.MersenneTwister
- org.apache.commons.rng.core.source32.MultiplyWithCarry256
- org.apache.commons.rng.core.source32.XoRoShiRo64Star
- org.apache.commons.rng.core.source32.XoRoShiRo64StarStar
- org.apache.commons.rng.core.source32.XoShiRo128Plus
- org.apache.commons.rng.core.source32.XoShiRo128StarStar
- org.apache.commons.rng.core.source32.AbstractWell
- org.apache.commons.rng.core.source64.LongProvider (implements org.apache.commons.rng.core.source64.RandomLongSource)
- org.apache.commons.rng.core.source64.MersenneTwister64
- org.apache.commons.rng.core.source64.SplitMix64
- org.apache.commons.rng.core.source64.TwoCmres
- org.apache.commons.rng.core.source64.XoRoShiRo128Plus
- org.apache.commons.rng.core.source64.XoRoShiRo128StarStar
- org.apache.commons.rng.core.source64.XorShift1024Star
- org.apache.commons.rng.core.source64.XorShift1024StarPhi
- org.apache.commons.rng.core.source64.XoShiRo256Plus
- org.apache.commons.rng.core.source64.XoShiRo256StarStar
- org.apache.commons.rng.core.source64.XoShiRo512Plus
- org.apache.commons.rng.core.source64.XoShiRo512StarStar
- org.apache.commons.rng.core.source32.IntProvider (implements org.apache.commons.rng.core.source32.RandomIntSource)
- org.apache.commons.math4.analysis.integration.gauss.BaseRuleFactory<T>
- org.apache.commons.math4.analysis.integration.gauss.HermiteRuleFactory
- org.apache.commons.math4.analysis.integration.gauss.LaguerreRuleFactory
- org.apache.commons.math4.analysis.integration.gauss.LegendreHighPrecisionRuleFactory
- org.apache.commons.math4.analysis.integration.gauss.LegendreRuleFactory
- io.virtdata.continuous.int_double.BetaAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.continuous.long_double.BetaAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- org.apache.commons.statistics.distribution.BetaDistribution
- org.apache.commons.math4.analysis.interpolation.BicubicInterpolatingFunction (implements org.apache.commons.math4.analysis.BivariateFunction)
- org.apache.commons.math4.analysis.interpolation.BicubicInterpolator (implements org.apache.commons.math4.analysis.interpolation.BivariateGridInterpolator)
- org.apache.commons.math4.fraction.BigFractionField (implements org.apache.commons.math4.Field<T>, java.io.Serializable)
- org.apache.commons.math4.util.BigReal (implements java.lang.Comparable<T>, org.apache.commons.math4.FieldElement<T>, java.io.Serializable)
- org.apache.commons.math4.util.BigRealField (implements org.apache.commons.math4.Field<T>, java.io.Serializable)
- io.virtdata.discrete.int_int.BinomialAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.discrete.int_long.BinomialAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.discrete.long_int.BinomialAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.discrete.long_long.BinomialAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- org.apache.commons.numbers.combinatorics.BinomialCoefficient
- org.apache.commons.numbers.combinatorics.BinomialCoefficientDouble
- org.apache.commons.statistics.distribution.BinomialDistribution
- org.apache.commons.math4.stat.inference.BinomialTest
- org.apache.commons.rng.sampling.distribution.BoxMullerNormalizedGaussianSampler (implements org.apache.commons.rng.sampling.distribution.NormalizedGaussianSampler)
- org.apache.commons.rng.simple.internal.ByteArray2IntArray (implements org.apache.commons.rng.simple.internal.SeedConverter<IN,OUT>)
- org.apache.commons.rng.simple.internal.ByteArray2LongArray (implements org.apache.commons.rng.simple.internal.SeedConverter<IN,OUT>)
- io.virtdata.continuous.int_double.CauchyAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.continuous.long_double.CauchyAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- org.apache.commons.statistics.distribution.CauchyDistribution
- org.apache.commons.math4.analysis.function.Cbrt (implements org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableFunction)
- org.apache.commons.math4.analysis.function.Ceil (implements org.apache.commons.math4.analysis.UnivariateFunction)
- org.apache.commons.math4.util.CentralPivotingStrategy (implements org.apache.commons.math4.util.PivotingStrategyInterface, java.io.Serializable)
- io.virtdata.continuous.int_double.ChiSquaredAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.continuous.long_double.ChiSquaredAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- org.apache.commons.statistics.distribution.ChiSquaredDistribution
- org.apache.commons.math4.stat.inference.ChiSquareTest
- org.apache.commons.math4.linear.CholeskyDecomposition
- org.apache.commons.math4.stat.interval.ClopperPearsonInterval (implements org.apache.commons.math4.stat.interval.BinomialConfidenceInterval)
- org.apache.commons.rng.sampling.CollectionSampler<T>
- org.apache.commons.numbers.combinatorics.Combinations (implements java.lang.Iterable<T>)
- org.apache.commons.numbers.combinatorics.Combinations.LexicographicComparator (implements java.util.Comparator<T>, java.io.Serializable)
- org.apache.commons.rng.sampling.CombinationSampler
- org.apache.commons.math4.util.CombinatoricsUtils
- org.apache.commons.numbers.complex.Complex (implements java.io.Serializable)
- org.apache.commons.numbers.complex.streams.ComplexUtils
- org.apache.commons.math4.util.CompositeFormat
- org.apache.commons.math4.stat.interval.ConfidenceInterval
- org.apache.commons.math4.analysis.function.Constant (implements org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableFunction)
- io.virtdata.continuous.int_double.ConstantContinuousAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.continuous.long_double.ConstantContinuousAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- org.apache.commons.statistics.distribution.ConstantContinuousDistribution
- org.apache.commons.numbers.fraction.ContinuedFraction
- org.apache.commons.math4.random.CorrelatedRandomVectorGenerator (implements org.apache.commons.math4.random.RandomVectorGenerator)
- org.apache.commons.math4.analysis.function.Cos (implements org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableFunction)
- org.apache.commons.numbers.arrays.CosAngle
- org.apache.commons.math4.analysis.function.Cosh (implements org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableFunction)
- org.apache.commons.math4.stat.correlation.Covariance
- org.apache.commons.math4.stat.correlation.StorelessCovariance
- org.apache.commons.math4.util.Decimal64Field (implements org.apache.commons.math4.Field<T>)
- org.apache.commons.math4.linear.DefaultFieldMatrixChangingVisitor<T> (implements org.apache.commons.math4.linear.FieldMatrixChangingVisitor<T>)
- org.apache.commons.math4.linear.DefaultFieldMatrixPreservingVisitor<T> (implements org.apache.commons.math4.linear.FieldMatrixPreservingVisitor<T>)
- org.apache.commons.math4.linear.DefaultRealMatrixChangingVisitor (implements org.apache.commons.math4.linear.RealMatrixChangingVisitor)
- org.apache.commons.math4.linear.DefaultRealMatrixPreservingVisitor (implements org.apache.commons.math4.linear.RealMatrixPreservingVisitor)
- org.apache.commons.math4.util.DefaultTransformer (implements org.apache.commons.math4.util.NumberTransformer, java.io.Serializable)
- org.apache.commons.math4.analysis.differentiation.DerivativeStructure (implements org.apache.commons.math4.RealFieldElement<T>, java.io.Serializable)
- org.apache.commons.math4.stat.descriptive.DescriptiveStatistics (implements java.io.Serializable, org.apache.commons.math4.stat.descriptive.StatisticalSummary)
- org.apache.commons.math4.stat.descriptive.SynchronizedDescriptiveStatistics
- org.apache.commons.numbers.gamma.Digamma
- io.virtdata.discrete.common.DiscreteIntIntSampler (implements java.util.function.IntUnaryOperator)
- io.virtdata.discrete.common.DiscreteIntLongSampler (implements java.util.function.IntToLongFunction)
- io.virtdata.discrete.common.DiscreteLongIntSampler (implements java.util.function.LongToIntFunction)
- io.virtdata.discrete.common.DiscreteLongLongSampler (implements java.util.function.LongUnaryOperator)
- org.apache.commons.rng.sampling.DiscreteProbabilityCollectionSampler<T>
- org.apache.commons.math4.analysis.function.Divide (implements org.apache.commons.math4.analysis.BivariateFunction)
- org.apache.commons.math4.analysis.interpolation.DividedDifferenceInterpolator (implements java.io.Serializable, org.apache.commons.math4.analysis.interpolation.UnivariateInterpolator)
- org.apache.commons.math4.analysis.differentiation.DSCompiler
- org.apache.commons.math4.exception.util.DummyLocalizable (implements org.apache.commons.math4.exception.util.Localizable)
- org.apache.commons.math4.linear.EigenDecomposition
- io.virtdata.continuous.int_double.EnumeratedAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.continuous.long_double.EnumeratedAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- org.apache.commons.math4.distribution.EnumeratedDistribution<T> (implements java.io.Serializable)
- org.apache.commons.math4.distribution.EnumeratedDistribution.Sampler
- org.apache.commons.math4.distribution.EnumeratedRealDistribution (implements org.apache.commons.statistics.distribution.ContinuousDistribution, java.io.Serializable)
- org.apache.commons.numbers.gamma.Erf
- org.apache.commons.numbers.gamma.Erfc
- org.apache.commons.numbers.gamma.ErfDifference
- java.util.EventObject (implements java.io.Serializable)
- org.apache.commons.math4.util.IterationEvent
- org.apache.commons.math4.linear.IterativeLinearSolverEvent
- org.apache.commons.math4.linear.DefaultIterativeLinearSolverEvent
- org.apache.commons.math4.linear.IterativeLinearSolverEvent
- org.apache.commons.math4.util.IterationEvent
- org.apache.commons.math4.exception.util.ExceptionContext (implements java.io.Serializable)
- org.apache.commons.math4.analysis.function.Exp (implements org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableFunction)
- org.apache.commons.math4.analysis.function.Expm1 (implements org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableFunction)
- io.virtdata.continuous.int_double.ExponentialAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.continuous.long_double.ExponentialAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- org.apache.commons.statistics.distribution.ExponentialDistribution
- org.apache.commons.numbers.combinatorics.Factorial
- org.apache.commons.numbers.combinatorics.FactorialDouble
- org.apache.commons.math4.util.FastMath
- io.virtdata.continuous.int_double.FAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.continuous.long_double.FAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- org.apache.commons.statistics.distribution.FDistribution
- org.apache.commons.math4.analysis.solvers.FieldBracketingNthOrderBrentSolver<T> (implements org.apache.commons.math4.analysis.solvers.BracketedRealFieldUnivariateSolver<T>)
- org.apache.commons.math4.analysis.interpolation.FieldHermiteInterpolator<T>
- org.apache.commons.math4.linear.FieldLUDecomposition<T>
- org.apache.commons.math4.analysis.differentiation.FiniteDifferencesDifferentiator (implements java.io.Serializable, org.apache.commons.math4.analysis.differentiation.UnivariateFunctionDifferentiator, org.apache.commons.math4.analysis.differentiation.UnivariateMatrixFunctionDifferentiator, org.apache.commons.math4.analysis.differentiation.UnivariateVectorFunctionDifferentiator)
- org.apache.commons.math4.analysis.function.Floor (implements org.apache.commons.math4.analysis.UnivariateFunction)
- java.text.Format (implements java.lang.Cloneable, java.io.Serializable)
- java.text.NumberFormat
- org.apache.commons.numbers.fraction.AbstractFormat (implements java.io.Serializable)
- org.apache.commons.numbers.fraction.BigFractionFormat (implements java.io.Serializable)
- org.apache.commons.numbers.fraction.ProperBigFractionFormat
- org.apache.commons.numbers.fraction.FractionFormat
- org.apache.commons.numbers.fraction.ProperFractionFormat
- org.apache.commons.numbers.fraction.BigFractionFormat (implements java.io.Serializable)
- org.apache.commons.numbers.fraction.AbstractFormat (implements java.io.Serializable)
- java.text.NumberFormat
- org.apache.commons.math4.fraction.FractionField (implements org.apache.commons.math4.Field<T>, java.io.Serializable)
- org.apache.commons.math4.stat.Frequency<T> (implements java.io.Serializable)
- org.apache.commons.math4.analysis.FunctionUtils
- org.apache.commons.numbers.gamma.Gamma
- io.virtdata.continuous.int_double.GammaAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.continuous.long_double.GammaAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- org.apache.commons.statistics.distribution.GammaDistribution
- org.apache.commons.math4.analysis.function.Gaussian (implements org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableFunction)
- org.apache.commons.math4.analysis.function.Gaussian.Parametric (implements org.apache.commons.math4.analysis.ParametricUnivariateFunction)
- org.apache.commons.math4.random.GaussianRandomGenerator (implements org.apache.commons.math4.random.NormalizedRandomGenerator)
- org.apache.commons.rng.sampling.distribution.GaussianSampler (implements org.apache.commons.rng.sampling.distribution.ContinuousSampler)
- org.apache.commons.math4.analysis.integration.gauss.GaussIntegrator
- org.apache.commons.math4.analysis.integration.gauss.SymmetricGaussIntegrator
- org.apache.commons.math4.analysis.integration.gauss.GaussIntegratorFactory
- io.virtdata.discrete.int_int.GeometricAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.discrete.int_long.GeometricAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.discrete.long_int.GeometricAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.discrete.long_long.GeometricAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- org.apache.commons.statistics.distribution.GeometricDistribution
- org.apache.commons.rng.sampling.distribution.GeometricSampler (implements org.apache.commons.rng.sampling.distribution.DiscreteSampler)
- org.apache.commons.math4.analysis.differentiation.GradientFunction (implements org.apache.commons.math4.analysis.MultivariateVectorFunction)
- org.apache.commons.math4.stat.inference.GTest
- io.virtdata.continuous.int_double.GumbelAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.continuous.long_double.GumbelAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- org.apache.commons.statistics.distribution.GumbelDistribution
- org.apache.commons.math4.random.HaltonSequenceGenerator (implements org.apache.commons.math4.random.RandomVectorGenerator)
- org.apache.commons.math4.analysis.function.HarmonicOscillator (implements org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableFunction)
- org.apache.commons.math4.analysis.function.HarmonicOscillator.Parametric (implements org.apache.commons.math4.analysis.ParametricUnivariateFunction)
- org.apache.commons.math4.analysis.interpolation.HermiteInterpolator (implements org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableVectorFunction)
- io.virtdata.discrete.int_int.HypergeometricAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.discrete.int_long.HypergeometricAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.discrete.long_int.HypergeometricAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.discrete.long_long.HypergeometricAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- org.apache.commons.statistics.distribution.HypergeometricDistribution
- org.apache.commons.math4.analysis.function.Identity (implements org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableFunction)
- org.apache.commons.math4.util.Incrementor
- org.apache.commons.math4.stat.inference.InferenceTestUtils
- org.apache.commons.rng.simple.internal.Int2Long (implements org.apache.commons.rng.simple.internal.SeedConverter<IN,OUT>)
- org.apache.commons.rng.simple.internal.IntArray2Int (implements org.apache.commons.rng.simple.internal.SeedConverter<IN,OUT>)
- org.apache.commons.rng.simple.internal.IntArray2LongArray (implements org.apache.commons.rng.simple.internal.SeedConverter<IN,OUT>)
- io.virtdata.discrete.common.IntegerDistributionICDSource (implements java.util.function.DoubleToIntFunction)
- org.apache.commons.math4.util.IntegerSequence
- org.apache.commons.math4.util.IntegerSequence.Incrementor (implements java.util.Iterator<E>)
- org.apache.commons.math4.util.IntegerSequence.Range (implements java.lang.Iterable<T>)
- io.virtdata.continuous.common.InterpolatingIntDoubleSampler (implements java.util.function.IntToDoubleFunction)
- io.virtdata.discrete.common.InterpolatingIntIntSampler (implements java.util.function.IntUnaryOperator)
- io.virtdata.discrete.common.InterpolatingIntLongSampler (implements java.util.function.IntToLongFunction)
- io.virtdata.continuous.common.InterpolatingLongDoubleSampler (implements java.util.function.LongToDoubleFunction)
- io.virtdata.discrete.common.InterpolatingLongIntSampler (implements java.util.function.LongToIntFunction)
- io.virtdata.discrete.common.InterpolatingLongLongSampler (implements java.util.function.LongUnaryOperator)
- org.apache.commons.math4.analysis.interpolation.InterpolatingMicrosphere
- org.apache.commons.math4.analysis.interpolation.InterpolatingMicrosphere2D
- org.apache.commons.math4.stat.interval.IntervalUtils
- io.virtdata.continuous.int_double.IntToDoubleContinuousCurve (implements java.util.function.IntToDoubleFunction)
- io.virtdata.continuous.int_double.Beta
- io.virtdata.continuous.int_double.Cauchy
- io.virtdata.continuous.int_double.ChiSquared
- io.virtdata.continuous.int_double.ConstantContinuous
- io.virtdata.continuous.int_double.Enumerated
- io.virtdata.continuous.int_double.Exponential
- io.virtdata.continuous.int_double.F
- io.virtdata.continuous.int_double.Gamma
- io.virtdata.continuous.int_double.Gumbel
- io.virtdata.continuous.int_double.Laplace
- io.virtdata.continuous.int_double.Levy
- io.virtdata.continuous.int_double.Logistic
- io.virtdata.continuous.int_double.LogNormal
- io.virtdata.continuous.int_double.Nakagami
- io.virtdata.continuous.int_double.Normal
- io.virtdata.continuous.int_double.Pareto
- io.virtdata.continuous.int_double.T
- io.virtdata.continuous.int_double.Triangular
- io.virtdata.continuous.int_double.Uniform
- io.virtdata.continuous.int_double.Weibull
- io.virtdata.discrete.int_int.IntToIntDiscreteCurve (implements java.util.function.IntUnaryOperator)
- io.virtdata.discrete.int_long.IntToLongDiscreteCurve (implements java.util.function.IntToLongFunction)
- org.apache.commons.math4.analysis.function.Inverse (implements org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableFunction)
- org.apache.commons.numbers.gamma.InverseErf
- org.apache.commons.numbers.gamma.InverseErfc
- org.apache.commons.math4.util.IterationManager
- org.apache.commons.math4.linear.IterativeLinearSolver
- org.apache.commons.math4.linear.PreconditionedIterativeLinearSolver
- org.apache.commons.math4.linear.ConjugateGradient
- org.apache.commons.math4.linear.SymmLQ
- org.apache.commons.math4.linear.PreconditionedIterativeLinearSolver
- org.apache.commons.math4.analysis.differentiation.JacobianFunction (implements org.apache.commons.math4.analysis.MultivariateMatrixFunction)
- org.apache.commons.math4.stat.correlation.KendallsCorrelation
- org.apache.commons.math4.stat.inference.KolmogorovSmirnovTest
- org.apache.commons.math4.util.KthSelector (implements java.io.Serializable)
- org.apache.commons.numbers.gamma.LanczosApproximation
- io.virtdata.continuous.int_double.LaplaceAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.continuous.long_double.LaplaceAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- org.apache.commons.statistics.distribution.LaplaceDistribution
- org.apache.commons.rng.sampling.distribution.LargeMeanPoissonSampler (implements org.apache.commons.rng.sampling.distribution.DiscreteSampler)
- io.virtdata.continuous.int_double.LevyAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.continuous.long_double.LevyAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- org.apache.commons.statistics.distribution.LevyDistribution
- org.apache.commons.numbers.arrays.LinearCombination
- org.apache.commons.math4.analysis.interpolation.LinearInterpolator (implements org.apache.commons.math4.analysis.interpolation.UnivariateInterpolator)
- org.apache.commons.rng.sampling.ListSampler
- org.apache.commons.math4.analysis.interpolation.LoessInterpolator (implements java.io.Serializable, org.apache.commons.math4.analysis.interpolation.UnivariateInterpolator)
- org.apache.commons.math4.analysis.function.Log (implements org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableFunction)
- org.apache.commons.math4.analysis.function.Log10 (implements org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableFunction)
- org.apache.commons.math4.analysis.function.Log1p (implements org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableFunction)
- org.apache.commons.numbers.gamma.LogBeta
- org.apache.commons.numbers.combinatorics.LogBinomialCoefficient
- org.apache.commons.numbers.combinatorics.LogFactorial
- org.apache.commons.numbers.gamma.LogGamma
- org.apache.commons.math4.analysis.function.Logistic (implements org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableFunction)
- org.apache.commons.math4.analysis.function.Logistic.Parametric (implements org.apache.commons.math4.analysis.ParametricUnivariateFunction)
- io.virtdata.continuous.int_double.LogisticAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.continuous.long_double.LogisticAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- org.apache.commons.statistics.distribution.LogisticDistribution
- org.apache.commons.math4.analysis.function.Logit (implements org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableFunction)
- org.apache.commons.math4.analysis.function.Logit.Parametric (implements org.apache.commons.math4.analysis.ParametricUnivariateFunction)
- io.virtdata.continuous.int_double.LogNormalAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.continuous.long_double.LogNormalAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- org.apache.commons.statistics.distribution.LogNormalDistribution
- org.apache.commons.rng.sampling.distribution.LogNormalSampler (implements org.apache.commons.rng.sampling.distribution.ContinuousSampler)
- org.apache.commons.rng.simple.internal.Long2Int (implements org.apache.commons.rng.simple.internal.SeedConverter<IN,OUT>)
- org.apache.commons.rng.simple.internal.Long2IntArray (implements org.apache.commons.rng.simple.internal.SeedConverter<IN,OUT>)
- org.apache.commons.rng.simple.internal.Long2LongArray (implements org.apache.commons.rng.simple.internal.SeedConverter<IN,OUT>)
- org.apache.commons.rng.simple.internal.LongArray2IntArray (implements org.apache.commons.rng.simple.internal.SeedConverter<IN,OUT>)
- org.apache.commons.rng.simple.internal.LongArray2Long (implements org.apache.commons.rng.simple.internal.SeedConverter<IN,OUT>)
- io.virtdata.continuous.long_double.LongToDoubleContinuousCurve (implements java.util.function.LongToDoubleFunction)
- io.virtdata.continuous.long_double.Beta
- io.virtdata.continuous.long_double.Cauchy
- io.virtdata.continuous.long_double.ChiSquared
- io.virtdata.continuous.long_double.ConstantContinuous
- io.virtdata.continuous.long_double.Enumerated
- io.virtdata.continuous.long_double.Exponential
- io.virtdata.continuous.long_double.F
- io.virtdata.continuous.long_double.Gamma
- io.virtdata.continuous.long_double.Gumbel
- io.virtdata.continuous.long_double.Laplace
- io.virtdata.continuous.long_double.Levy
- io.virtdata.continuous.long_double.Logistic
- io.virtdata.continuous.long_double.LogNormal
- io.virtdata.continuous.long_double.Nakagami
- io.virtdata.continuous.long_double.Normal
- io.virtdata.continuous.long_double.Pareto
- io.virtdata.continuous.long_double.T
- io.virtdata.continuous.long_double.Triangular
- io.virtdata.continuous.long_double.Uniform
- io.virtdata.continuous.long_double.Weibull
- io.virtdata.discrete.long_int.LongToIntDiscreteCurve (implements java.util.function.LongToIntFunction)
- io.virtdata.discrete.long_long.LongToLongDiscreteCurve (implements java.util.function.LongUnaryOperator)
- org.apache.commons.math4.linear.LUDecomposition
- org.apache.commons.math4.stat.inference.MannWhitneyUTest
- org.apache.commons.rng.sampling.distribution.MarsagliaNormalizedGaussianSampler (implements org.apache.commons.rng.sampling.distribution.NormalizedGaussianSampler)
- org.apache.commons.math4.util.MathArrays
- org.apache.commons.math4.util.MathUtils
- org.apache.commons.math4.linear.MatrixUtils
- org.apache.commons.math4.analysis.function.Max (implements org.apache.commons.math4.analysis.BivariateFunction)
- org.apache.commons.math4.util.MedianOf3PivotingStrategy (implements org.apache.commons.math4.util.PivotingStrategyInterface, java.io.Serializable)
- org.apache.commons.math4.analysis.interpolation.MicrosphereProjectionInterpolator (implements org.apache.commons.math4.analysis.interpolation.MultivariateInterpolator)
- org.apache.commons.math4.stat.regression.MillerUpdatingRegression (implements org.apache.commons.math4.stat.regression.UpdatingMultipleLinearRegression)
- org.apache.commons.math4.analysis.function.Min (implements org.apache.commons.math4.analysis.BivariateFunction)
- org.apache.commons.math4.analysis.function.Minus (implements org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableFunction)
- org.apache.commons.math4.util.MultidimensionalCounter (implements java.lang.Iterable<T>)
- org.apache.commons.math4.util.MultidimensionalCounter.Iterator (implements java.util.Iterator<E>)
- org.apache.commons.math4.analysis.function.Multiply (implements org.apache.commons.math4.analysis.BivariateFunction)
- org.apache.commons.math4.distribution.fitting.MultivariateNormalMixtureExpectationMaximization
- org.apache.commons.math4.stat.descriptive.MultivariateSummaryStatistics (implements java.io.Serializable, org.apache.commons.math4.stat.descriptive.StatisticalMultivariateSummary)
- org.apache.commons.math4.stat.descriptive.SynchronizedMultivariateSummaryStatistics
- io.virtdata.continuous.int_double.NakagamiAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.continuous.long_double.NakagamiAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- org.apache.commons.statistics.distribution.NakagamiDistribution
- org.apache.commons.math4.stat.ranking.NaturalRanking (implements org.apache.commons.math4.stat.ranking.RankingAlgorithm)
- org.apache.commons.math4.analysis.interpolation.NevilleInterpolator (implements java.io.Serializable, org.apache.commons.math4.analysis.interpolation.UnivariateInterpolator)
- org.apache.commons.rng.simple.internal.NoOpConverter<SEED> (implements org.apache.commons.rng.simple.internal.SeedConverter<IN,OUT>)
- org.apache.commons.math4.stat.interval.NormalApproximationInterval (implements org.apache.commons.math4.stat.interval.BinomialConfidenceInterval)
- io.virtdata.continuous.int_double.NormalAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.continuous.long_double.NormalAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- org.apache.commons.statistics.distribution.NormalDistribution
- java.lang.Number (implements java.io.Serializable)
- org.apache.commons.math4.fraction.BigFraction (implements java.lang.Comparable<T>, org.apache.commons.math4.FieldElement<T>, java.io.Serializable)
- org.apache.commons.numbers.fraction.BigFraction (implements java.lang.Comparable<T>, java.io.Serializable)
- org.apache.commons.math4.util.Decimal64 (implements java.lang.Comparable<T>, org.apache.commons.math4.RealFieldElement<T>)
- org.apache.commons.math4.fraction.Fraction (implements java.lang.Comparable<T>, org.apache.commons.math4.FieldElement<T>, java.io.Serializable)
- org.apache.commons.numbers.fraction.Fraction (implements java.lang.Comparable<T>, org.apache.commons.numbers.core.NativeOperators<T>, java.io.Serializable)
- org.apache.commons.rng.core.util.NumberFactory
- org.apache.commons.math4.stat.inference.OneWayAnova
- org.apache.commons.math4.util.OpenIntToDoubleHashMap (implements java.io.Serializable)
- org.apache.commons.math4.util.OpenIntToDoubleHashMap.Iterator
- org.apache.commons.math4.util.OpenIntToFieldHashMap<T> (implements java.io.Serializable)
- org.apache.commons.math4.util.OpenIntToFieldHashMap.Iterator
- org.apache.commons.math4.linear.OpenMapRealVector.OpenMapSparseIterator (implements java.util.Iterator<E>)
- org.apache.commons.math4.util.Pair<K,V>
- io.virtdata.continuous.int_double.ParetoAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.continuous.long_double.ParetoAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- org.apache.commons.statistics.distribution.ParetoDistribution
- io.virtdata.discrete.int_int.PascalAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.discrete.int_long.PascalAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.discrete.long_int.PascalAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.discrete.long_long.PascalAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- org.apache.commons.statistics.distribution.PascalDistribution
- org.apache.commons.math4.stat.correlation.PearsonsCorrelation
- org.apache.commons.rng.sampling.PermutationSampler
- org.apache.commons.math4.analysis.interpolation.PiecewiseBicubicSplineInterpolatingFunction (implements org.apache.commons.math4.analysis.BivariateFunction)
- org.apache.commons.math4.analysis.interpolation.PiecewiseBicubicSplineInterpolator (implements org.apache.commons.math4.analysis.interpolation.BivariateGridInterpolator)
- io.virtdata.discrete.int_int.PoissonAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.discrete.int_long.PoissonAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.discrete.long_int.PoissonAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.discrete.long_long.PoissonAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- org.apache.commons.statistics.distribution.PoissonDistribution
- org.apache.commons.rng.sampling.distribution.PoissonSamplerCache
- org.apache.commons.math4.analysis.polynomials.PolynomialFunction (implements java.io.Serializable, org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableFunction)
- org.apache.commons.math4.analysis.polynomials.PolynomialFunction.Parametric (implements org.apache.commons.math4.analysis.ParametricUnivariateFunction)
- org.apache.commons.math4.analysis.polynomials.PolynomialFunctionLagrangeForm (implements org.apache.commons.math4.analysis.UnivariateFunction)
- org.apache.commons.math4.analysis.polynomials.PolynomialFunctionNewtonForm (implements org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableFunction)
- org.apache.commons.math4.analysis.polynomials.PolynomialSplineFunction (implements org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableFunction)
- org.apache.commons.math4.analysis.polynomials.PolynomialsUtils
- org.apache.commons.math4.analysis.function.Pow (implements org.apache.commons.math4.analysis.BivariateFunction)
- org.apache.commons.math4.analysis.function.Power (implements org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableFunction)
- org.apache.commons.numbers.core.Precision
- org.apache.commons.rng.simple.internal.ProviderBuilder
- org.apache.commons.math4.linear.QRDecomposition
- org.apache.commons.math4.linear.RRQRDecomposition
- java.util.Random (implements java.io.Serializable)
- org.apache.commons.rng.simple.JDKRandomBridge
- org.apache.commons.math4.util.RandomPivotingStrategy (implements org.apache.commons.math4.util.PivotingStrategyInterface, java.io.Serializable)
- org.apache.commons.rng.core.RandomProviderDefaultState (implements org.apache.commons.rng.RandomProviderState)
- org.apache.commons.math4.random.RandomUtils
- org.apache.commons.math4.random.RandomUtils.DataGenerator
- io.virtdata.continuous.common.RealDistributionICDSource (implements java.util.function.DoubleUnaryOperator)
- io.virtdata.continuous.common.RealIntDoubleSampler (implements java.util.function.IntToDoubleFunction)
- org.apache.commons.math4.linear.RealLinearOperator
- org.apache.commons.math4.linear.AbstractRealMatrix (implements org.apache.commons.math4.linear.RealMatrix)
- org.apache.commons.math4.linear.Array2DRowRealMatrix (implements java.io.Serializable)
- org.apache.commons.math4.linear.BlockRealMatrix (implements java.io.Serializable)
- org.apache.commons.math4.linear.DiagonalMatrix (implements java.io.Serializable)
- org.apache.commons.math4.linear.OpenMapRealMatrix (implements java.io.Serializable, org.apache.commons.math4.linear.SparseRealMatrix)
- org.apache.commons.math4.linear.JacobiPreconditioner
- org.apache.commons.math4.linear.AbstractRealMatrix (implements org.apache.commons.math4.linear.RealMatrix)
- io.virtdata.continuous.common.RealLongDoubleSampler (implements java.util.function.LongToDoubleFunction)
- org.apache.commons.math4.linear.RealMatrixFormat
- org.apache.commons.math4.linear.RealVector
- org.apache.commons.math4.linear.ArrayRealVector (implements java.io.Serializable)
- org.apache.commons.math4.linear.SparseRealVector
- org.apache.commons.math4.linear.OpenMapRealVector (implements java.io.Serializable)
- org.apache.commons.math4.linear.RealVector.Entry
- org.apache.commons.math4.linear.OpenMapRealVector.OpenMapEntry
- org.apache.commons.math4.linear.RealVector.SparseEntryIterator (implements java.util.Iterator<E>)
- org.apache.commons.math4.linear.RealVectorFormat
- org.apache.commons.math4.linear.RectangularCholeskyDecomposition
- org.apache.commons.math4.stat.regression.RegressionResults (implements java.io.Serializable)
- org.apache.commons.numbers.gamma.RegularizedBeta
- org.apache.commons.numbers.gamma.RegularizedGamma
- org.apache.commons.numbers.gamma.RegularizedGamma.P
- org.apache.commons.numbers.gamma.RegularizedGamma.Q
- org.apache.commons.math4.util.ResizableDoubleArray (implements org.apache.commons.math4.util.DoubleArray, java.io.Serializable)
- org.apache.commons.math4.analysis.function.Rint (implements org.apache.commons.math4.analysis.UnivariateFunction)
- org.apache.commons.math4.random.RngAdaptor (implements org.apache.commons.math4.random.RandomGenerator, java.io.Serializable)
- org.apache.commons.numbers.arrays.SafeNorm
- org.apache.commons.rng.sampling.distribution.SamplerBase
- org.apache.commons.rng.sampling.distribution.AhrensDieterExponentialSampler (implements org.apache.commons.rng.sampling.distribution.ContinuousSampler)
- org.apache.commons.rng.sampling.distribution.AhrensDieterMarsagliaTsangGammaSampler (implements org.apache.commons.rng.sampling.distribution.ContinuousSampler)
- org.apache.commons.rng.sampling.distribution.BoxMullerGaussianSampler (implements org.apache.commons.rng.sampling.distribution.ContinuousSampler)
- org.apache.commons.rng.sampling.distribution.BoxMullerLogNormalSampler (implements org.apache.commons.rng.sampling.distribution.ContinuousSampler)
- org.apache.commons.rng.sampling.distribution.ChengBetaSampler (implements org.apache.commons.rng.sampling.distribution.ContinuousSampler)
- org.apache.commons.rng.sampling.distribution.ContinuousUniformSampler (implements org.apache.commons.rng.sampling.distribution.ContinuousSampler)
- org.apache.commons.rng.sampling.distribution.DiscreteUniformSampler (implements org.apache.commons.rng.sampling.distribution.DiscreteSampler)
- org.apache.commons.rng.sampling.distribution.InverseTransformContinuousSampler (implements org.apache.commons.rng.sampling.distribution.ContinuousSampler)
- org.apache.commons.rng.sampling.distribution.InverseTransformDiscreteSampler (implements org.apache.commons.rng.sampling.distribution.DiscreteSampler)
- org.apache.commons.rng.sampling.distribution.InverseTransformParetoSampler (implements org.apache.commons.rng.sampling.distribution.ContinuousSampler)
- org.apache.commons.rng.sampling.distribution.PoissonSampler (implements org.apache.commons.rng.sampling.distribution.DiscreteSampler)
- org.apache.commons.rng.sampling.distribution.RejectionInversionZipfSampler (implements org.apache.commons.rng.sampling.distribution.DiscreteSampler)
- org.apache.commons.rng.simple.internal.SeedConverterComposer<IN,TRANS,OUT> (implements org.apache.commons.rng.simple.internal.SeedConverter<IN,OUT>)
- org.apache.commons.rng.simple.internal.SeedFactory
- org.apache.commons.math4.analysis.function.Sigmoid (implements org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableFunction)
- org.apache.commons.math4.analysis.function.Sigmoid.Parametric (implements org.apache.commons.math4.analysis.ParametricUnivariateFunction)
- org.apache.commons.math4.analysis.function.Signum (implements org.apache.commons.math4.analysis.UnivariateFunction)
- org.apache.commons.math4.stat.regression.SimpleRegression (implements java.io.Serializable, org.apache.commons.math4.stat.regression.UpdatingMultipleLinearRegression)
- org.apache.commons.math4.analysis.function.Sin (implements org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableFunction)
- org.apache.commons.math4.analysis.function.Sinc (implements org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableFunction)
- org.apache.commons.math4.linear.SingularValueDecomposition
- org.apache.commons.math4.analysis.function.Sinh (implements org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableFunction)
- org.apache.commons.rng.sampling.distribution.SmallMeanPoissonSampler (implements org.apache.commons.rng.sampling.distribution.DiscreteSampler)
- org.apache.commons.math4.random.SobolSequenceGenerator (implements org.apache.commons.math4.random.RandomVectorGenerator)
- org.apache.commons.math4.linear.SparseFieldVector<T> (implements org.apache.commons.math4.linear.FieldVector<T>, java.io.Serializable)
- org.apache.commons.math4.analysis.differentiation.SparseGradient (implements org.apache.commons.math4.RealFieldElement<T>, java.io.Serializable)
- org.apache.commons.math4.stat.correlation.SpearmansCorrelation
- org.apache.commons.math4.analysis.interpolation.SplineInterpolator (implements org.apache.commons.math4.analysis.interpolation.UnivariateInterpolator)
- org.apache.commons.math4.analysis.function.Sqrt (implements org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableFunction)
- org.apache.commons.math4.random.StableRandomGenerator (implements org.apache.commons.math4.random.NormalizedRandomGenerator)
- org.apache.commons.math4.stat.descriptive.StatisticalSummaryValues (implements java.io.Serializable, org.apache.commons.math4.stat.descriptive.StatisticalSummary)
- org.apache.commons.math4.stat.StatUtils
- org.apache.commons.math4.analysis.function.StepFunction (implements org.apache.commons.math4.analysis.UnivariateFunction)
- org.apache.commons.math4.analysis.function.Subtract (implements org.apache.commons.math4.analysis.BivariateFunction)
- org.apache.commons.math4.stat.descriptive.SummaryStatistics (implements java.io.Serializable, org.apache.commons.math4.stat.descriptive.StatisticalSummary)
- org.apache.commons.math4.stat.descriptive.SynchronizedSummaryStatistics
- org.apache.commons.math4.random.SynchronizedRandomGenerator (implements org.apache.commons.math4.random.RandomGenerator)
- org.apache.commons.math4.analysis.function.Tan (implements org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableFunction)
- org.apache.commons.math4.analysis.function.Tanh (implements org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableFunction)
- io.virtdata.continuous.int_double.TAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.continuous.long_double.TAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- org.apache.commons.statistics.distribution.TDistribution
- org.apache.commons.rng.simple.ThreadLocalRandomSource
- io.virtdata.discrete.common.ThreadSafeHash (implements java.util.function.LongUnaryOperator)
- java.lang.Throwable (implements java.io.Serializable)
- java.lang.Exception
- java.lang.RuntimeException
- org.apache.commons.math4.exception.MathRuntimeException (implements org.apache.commons.math4.exception.util.ExceptionContextProvider)
- org.apache.commons.math4.exception.MathArithmeticException
- org.apache.commons.math4.exception.MathIllegalArgumentException
- org.apache.commons.math4.linear.IllConditionedOperatorException
- org.apache.commons.math4.exception.InsufficientDataException
- org.apache.commons.math4.exception.MathIllegalNumberException
- org.apache.commons.math4.exception.DimensionMismatchException
- org.apache.commons.math4.linear.NonSquareMatrixException
- org.apache.commons.math4.linear.NonSquareOperatorException
- org.apache.commons.math4.exception.NonMonotonicSequenceException
- org.apache.commons.math4.exception.NotANumberException
- org.apache.commons.math4.exception.NotFiniteNumberException
- org.apache.commons.math4.exception.NumberIsTooLargeException
- org.apache.commons.math4.exception.NumberIsTooSmallException
- org.apache.commons.math4.linear.NonPositiveDefiniteMatrixException
- org.apache.commons.math4.exception.NotPositiveException
- org.apache.commons.math4.exception.NotStrictlyPositiveException
- org.apache.commons.math4.exception.OutOfRangeException
- org.apache.commons.math4.exception.ZeroException
- org.apache.commons.math4.exception.DimensionMismatchException
- org.apache.commons.math4.stat.regression.ModelSpecificationException
- org.apache.commons.math4.exception.MultiDimensionMismatchException
- org.apache.commons.math4.linear.MatrixDimensionMismatchException
- org.apache.commons.math4.exception.NoBracketingException
- org.apache.commons.math4.exception.NoDataException
- org.apache.commons.math4.linear.NonPositiveDefiniteOperatorException
- org.apache.commons.math4.linear.NonSelfAdjointOperatorException
- org.apache.commons.math4.linear.NonSymmetricMatrixException
- org.apache.commons.math4.linear.SingularMatrixException
- org.apache.commons.math4.linear.SingularOperatorException
- org.apache.commons.math4.exception.MathIllegalStateException
- org.apache.commons.math4.exception.ConvergenceException
- org.apache.commons.math4.fraction.FractionConversionException
- org.apache.commons.math4.exception.MathInternalError
- org.apache.commons.math4.exception.MathParseException
- org.apache.commons.math4.exception.MaxCountExceededException
- org.apache.commons.math4.exception.TooManyEvaluationsException
- org.apache.commons.math4.exception.TooManyIterationsException
- org.apache.commons.math4.exception.ConvergenceException
- org.apache.commons.math4.exception.MathUnsupportedOperationException
- java.lang.NullPointerException
- org.apache.commons.math4.exception.NullArgumentException (implements org.apache.commons.math4.exception.util.ExceptionContextProvider)
- org.apache.commons.math4.exception.MathRuntimeException (implements org.apache.commons.math4.exception.util.ExceptionContextProvider)
- java.lang.RuntimeException
- java.lang.Exception
- org.apache.commons.math4.util.TransformerMap (implements org.apache.commons.math4.util.NumberTransformer, java.io.Serializable)
- io.virtdata.continuous.int_double.TriangularAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.continuous.long_double.TriangularAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- org.apache.commons.statistics.distribution.TriangularDistribution
- org.apache.commons.math4.analysis.interpolation.TricubicInterpolatingFunction (implements org.apache.commons.math4.analysis.TrivariateFunction)
- org.apache.commons.math4.analysis.interpolation.TricubicInterpolator (implements org.apache.commons.math4.analysis.interpolation.TrivariateGridInterpolator)
- org.apache.commons.numbers.gamma.Trigamma
- org.apache.commons.math4.stat.inference.TTest
- org.apache.commons.math4.analysis.function.Ulp (implements org.apache.commons.math4.analysis.UnivariateFunction)
- org.apache.commons.math4.random.UncorrelatedRandomVectorGenerator (implements org.apache.commons.math4.random.RandomVectorGenerator)
- io.virtdata.continuous.int_double.UniformAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.continuous.long_double.UniformAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.discrete.int_int.UniformAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.discrete.int_long.UniformAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.discrete.long_int.UniformAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.discrete.long_long.UniformAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- org.apache.commons.statistics.distribution.UniformContinuousDistribution
- org.apache.commons.statistics.distribution.UniformDiscreteDistribution
- org.apache.commons.math4.random.UniformRandomGenerator (implements org.apache.commons.math4.random.NormalizedRandomGenerator)
- org.apache.commons.rng.sampling.UnitSphereSampler
- org.apache.commons.math4.analysis.interpolation.UnivariatePeriodicInterpolator (implements org.apache.commons.math4.analysis.interpolation.UnivariateInterpolator)
- org.apache.commons.math4.analysis.solvers.UnivariateSolverUtils
- org.apache.commons.math4.stat.descriptive.moment.VectorialCovariance (implements java.io.Serializable)
- org.apache.commons.math4.stat.descriptive.moment.VectorialMean (implements java.io.Serializable)
- io.virtdata.continuous.int_double.WeibullAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.continuous.long_double.WeibullAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- org.apache.commons.statistics.distribution.WeibullDistribution
- org.apache.commons.math4.stat.inference.WilcoxonSignedRankTest
- org.apache.commons.math4.stat.interval.WilsonScoreInterval (implements org.apache.commons.math4.stat.interval.BinomialConfidenceInterval)
- org.apache.commons.rng.sampling.distribution.ZigguratNormalizedGaussianSampler (implements org.apache.commons.rng.sampling.distribution.NormalizedGaussianSampler)
- io.virtdata.discrete.int_int.ZipfAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.discrete.int_long.ZipfAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.discrete.long_int.ZipfAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- io.virtdata.discrete.long_long.ZipfAutoDocsInfo (implements io.virtdata.processors.DocFuncData)
- org.apache.commons.statistics.distribution.ZipfDistribution
Interface Hierarchy
- org.apache.commons.numbers.core.Addition<T>
- org.apache.commons.numbers.core.NativeOperators<T> (also extends org.apache.commons.numbers.core.Multiplication<T>)
- org.apache.commons.math4.linear.AnyMatrix
- org.apache.commons.math4.linear.FieldMatrix<T>
- org.apache.commons.math4.linear.RealMatrix
- org.apache.commons.math4.linear.SparseRealMatrix
- org.apache.commons.math4.analysis.solvers.BaseUnivariateSolver<FUNC>
- org.apache.commons.math4.analysis.solvers.BracketedUnivariateSolver<FUNC>
- org.apache.commons.math4.analysis.solvers.PolynomialSolver
- org.apache.commons.math4.analysis.solvers.UnivariateDifferentiableSolver
- org.apache.commons.math4.analysis.solvers.UnivariateSolver
- org.apache.commons.math4.stat.interval.BinomialConfidenceInterval
- org.apache.commons.math4.analysis.BivariateFunction
- org.apache.commons.math4.analysis.interpolation.BivariateGridInterpolator
- org.apache.commons.math4.analysis.solvers.BracketedRealFieldUnivariateSolver<T>
- java.lang.Cloneable
- org.apache.commons.math4.stat.descriptive.rank.PSquarePercentile.PSquareMarkers
- org.apache.commons.statistics.distribution.ContinuousDistribution
- org.apache.commons.math4.distribution.RealDistribution
- org.apache.commons.statistics.distribution.ContinuousDistribution.Sampler
- org.apache.commons.rng.sampling.distribution.ContinuousInverseCumulativeProbabilityFunction
- org.apache.commons.rng.sampling.distribution.ContinuousSampler
- org.apache.commons.rng.sampling.distribution.NormalizedGaussianSampler
- org.apache.commons.math4.linear.DecompositionSolver
- org.apache.commons.statistics.distribution.DiscreteDistribution
- org.apache.commons.math4.distribution.IntegerDistribution
- org.apache.commons.statistics.distribution.DiscreteDistribution.Sampler
- org.apache.commons.rng.sampling.distribution.DiscreteInverseCumulativeProbabilityFunction
- org.apache.commons.rng.sampling.distribution.DiscreteSampler
- org.apache.commons.math4.util.DoubleArray
- java.util.EventListener
- org.apache.commons.math4.util.IterationListener
- org.apache.commons.math4.exception.util.ExceptionContextProvider
- org.apache.commons.math4.Field<T>
- org.apache.commons.math4.linear.FieldDecompositionSolver<T>
- org.apache.commons.math4.FieldElement<T>
- org.apache.commons.math4.RealFieldElement<T>
- org.apache.commons.math4.linear.FieldMatrixChangingVisitor<T>
- org.apache.commons.math4.linear.FieldMatrixPreservingVisitor<T>
- org.apache.commons.math4.linear.FieldVector<T>
- org.apache.commons.math4.linear.FieldVectorChangingVisitor<T>
- org.apache.commons.math4.linear.FieldVectorPreservingVisitor<T>
- org.apache.commons.math4.util.Incrementor.MaxCountExceededCallback
- org.apache.commons.math4.util.IntegerSequence.Incrementor.MaxCountExceededCallback
- org.apache.commons.math4.util.MathArrays.Function
- org.apache.commons.math4.stat.descriptive.UnivariateStatistic
- org.apache.commons.math4.stat.descriptive.StorelessUnivariateStatistic
- org.apache.commons.math4.stat.descriptive.UnivariateStatistic
- org.apache.commons.math4.stat.regression.MultipleLinearRegression
- org.apache.commons.numbers.core.Multiplication<T>
- org.apache.commons.numbers.core.NativeOperators<T> (also extends org.apache.commons.numbers.core.Addition<T>)
- org.apache.commons.math4.analysis.MultivariateFunction
- org.apache.commons.math4.analysis.differentiation.MultivariateDifferentiableFunction
- org.apache.commons.math4.analysis.interpolation.MultivariateInterpolator
- org.apache.commons.math4.analysis.MultivariateMatrixFunction
- org.apache.commons.math4.distribution.MultivariateRealDistribution
- org.apache.commons.math4.distribution.MultivariateRealDistribution.Sampler
- org.apache.commons.math4.analysis.MultivariateVectorFunction
- org.apache.commons.math4.analysis.differentiation.MultivariateDifferentiableVectorFunction
- org.apache.commons.math4.random.NormalizedRandomGenerator
- org.apache.commons.math4.util.NumberTransformer
- org.apache.commons.math4.analysis.ParametricUnivariateFunction
- org.apache.commons.math4.util.PivotingStrategyInterface
- org.apache.commons.math4.random.RandomGenerator
- org.apache.commons.rng.core.source32.RandomIntSource
- org.apache.commons.rng.core.source64.RandomLongSource
- org.apache.commons.rng.RandomProviderState
- org.apache.commons.math4.random.RandomVectorGenerator
- org.apache.commons.math4.stat.ranking.RankingAlgorithm
- org.apache.commons.math4.analysis.RealFieldUnivariateFunction<T>
- org.apache.commons.math4.linear.RealMatrixChangingVisitor
- org.apache.commons.math4.linear.RealMatrixPreservingVisitor
- org.apache.commons.math4.linear.RealVectorChangingVisitor
- org.apache.commons.math4.linear.RealVectorPreservingVisitor
- org.apache.commons.rng.simple.internal.SeedConverter<IN,OUT>
- java.io.Serializable
- org.apache.commons.math4.exception.util.Localizable
- org.apache.commons.math4.stat.descriptive.StatisticalMultivariateSummary
- org.apache.commons.math4.stat.descriptive.StatisticalSummary
- org.apache.commons.math4.analysis.TrivariateFunction
- org.apache.commons.math4.analysis.interpolation.TrivariateGridInterpolator
- org.apache.commons.rng.UniformRandomProvider
- org.apache.commons.rng.RestorableUniformRandomProvider
- org.apache.commons.math4.analysis.UnivariateFunction
- org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableFunction
- org.apache.commons.math4.analysis.differentiation.UnivariateFunctionDifferentiator
- org.apache.commons.math4.analysis.integration.UnivariateIntegrator
- org.apache.commons.math4.analysis.interpolation.UnivariateInterpolator
- org.apache.commons.math4.analysis.UnivariateMatrixFunction
- org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableMatrixFunction
- org.apache.commons.math4.analysis.differentiation.UnivariateMatrixFunctionDifferentiator
- org.apache.commons.math4.analysis.UnivariateVectorFunction
- org.apache.commons.math4.analysis.differentiation.UnivariateDifferentiableVectorFunction
- org.apache.commons.math4.analysis.differentiation.UnivariateVectorFunctionDifferentiator
- org.apache.commons.math4.stat.regression.UpdatingMultipleLinearRegression
- org.apache.commons.math4.stat.descriptive.WeightedEvaluation
Enum Hierarchy
- java.lang.Object
- java.lang.Enum<E> (implements java.lang.Comparable<T>, java.lang.constant.Constable, java.io.Serializable)
- org.apache.commons.math4.analysis.solvers.AllowedSolution
- org.apache.commons.math4.stat.inference.AlternativeHypothesis
- org.apache.commons.math4.analysis.solvers.BaseSecantSolver.Method
- org.apache.commons.math4.exception.util.LocalizedFormats (implements org.apache.commons.math4.exception.util.Localizable)
- org.apache.commons.math4.util.MathArrays.OrderDirection
- org.apache.commons.math4.stat.ranking.NaNStrategy
- org.apache.commons.math4.stat.descriptive.rank.Percentile.EstimationType
- org.apache.commons.rng.simple.internal.ProviderBuilder.RandomSourceInternal
- org.apache.commons.rng.simple.RandomSource
- org.apache.commons.math4.util.ResizableDoubleArray.ExpansionMode
- org.apache.commons.math4.stat.descriptive.moment.SemiVariance.Direction
- org.apache.commons.math4.stat.ranking.TiesStrategy
- java.lang.Enum<E> (implements java.lang.Comparable<T>, java.lang.constant.Constable, java.io.Serializable)