A B C D I L N O P R S T

A

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

B

BoxMullerGaussianSampler - Class in org.apache.commons.rng.sampling.distribution

Box-Muller algorithm for sampling from a Gaussian distribution.

BoxMullerGaussianSampler(UniformRandomProvider, double, double) - Constructor for class org.apache.commons.rng.sampling.distribution.BoxMullerGaussianSampler

BoxMullerLogNormalSampler - Class in org.apache.commons.rng.sampling.distribution

Box-Muller algorithm for sampling from a Log normal distribution.

BoxMullerLogNormalSampler(UniformRandomProvider, double, double) - Constructor for class org.apache.commons.rng.sampling.distribution.BoxMullerLogNormalSampler

C

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.

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.

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

D

DiscreteInverseCumulativeProbabilityFunction - Interface in org.apache.commons.rng.sampling.distribution

Interface for a discrete distribution that can be sampled using the inversion method.

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

I

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.

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

L

ListSampler - Class in org.apache.commons.rng.sampling

Sampling from a List.

N

natural(int) - Static method in class org.apache.commons.rng.sampling.PermutationSampler

Creates an array representing the natural number n.

nextDouble() - Method in class org.apache.commons.rng.sampling.distribution.SamplerBase

nextInt() - Method in class org.apache.commons.rng.sampling.distribution.SamplerBase

nextInt(int) - Method in class org.apache.commons.rng.sampling.distribution.SamplerBase

O

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

P

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.

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

R

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

S

sample() - Method in class org.apache.commons.rng.sampling.CollectionSampler

Picks one of the items in the given collection.

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

Creates a sample.

sample() - Method in class org.apache.commons.rng.sampling.distribution.BoxMullerLogNormalSampler

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.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.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(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() - Method in class org.apache.commons.rng.sampling.PermutationSampler

SamplerBase - Class in org.apache.commons.rng.sampling.distribution

Base class for a sampler.

SamplerBase(UniformRandomProvider) - Constructor for class org.apache.commons.rng.sampling.distribution.SamplerBase

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.

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.

T

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

toString() - Method in class org.apache.commons.rng.sampling.distribution.BoxMullerLogNormalSampler

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.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.PoissonSampler

toString() - Method in class org.apache.commons.rng.sampling.distribution.RejectionInversionZipfSampler

toString() - Method in class org.apache.commons.rng.sampling.distribution.SamplerBase

A B C D I L N O P R S T