A B C D G I L M N O P R S T U Z 

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
Deprecated.
Since v1.1. 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 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
 

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.
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
 

G

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
 

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

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
 
ListSampler - Class in org.apache.commons.rng.sampling
Sampling from a List.
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
 

M

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
 

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
Deprecated.
 
nextInt() - Method in class org.apache.commons.rng.sampling.distribution.SamplerBase
Deprecated.
 
nextInt(int) - Method in class org.apache.commons.rng.sampling.distribution.SamplerBase
Deprecated.
 
nextLong() - Method in class org.apache.commons.rng.sampling.distribution.SamplerBase
Deprecated.
 
nextVector() - Method in class org.apache.commons.rng.sampling.UnitSphereSampler
 
NormalizedGaussianSampler - Interface in org.apache.commons.rng.sampling.distribution
Marker interface for a sampler that generates values from an N(0,1) Gaussian distribution.

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 from the collection passed to the constructor.
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.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(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.
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.
 
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.
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
 

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
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.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

U

UnitSphereSampler - Class in org.apache.commons.rng.sampling
UnitSphereSampler(int, UniformRandomProvider) - Constructor for class org.apache.commons.rng.sampling.UnitSphereSampler
 

Z

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
 
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