Uses of Interface
org.apache.commons.rng.UniformRandomProvider

Packages that use UniformRandomProvider

Package	Description
org.apache.commons.math4.distribution	Implementations of common discrete and continuous distributions.
org.apache.commons.math4.random	Random Data Generation
org.apache.commons.math4.stat.inference	Classes providing hypothesis testing.
org.apache.commons.math4.stat.ranking	Classes providing rank transformations.
org.apache.commons.rng	Randomness providers API
org.apache.commons.rng.core	Base classes for the generation of uniformly distributed random numbers.
org.apache.commons.rng.core.source32	Concrete algorithms for int-based sources of randomness
org.apache.commons.rng.core.source64	Concrete algorithms for long-based sources of randomness
org.apache.commons.rng.sampling	Samplers
org.apache.commons.rng.sampling.distribution	Distribution samplers
org.apache.commons.rng.simple	Randomness providers
org.apache.commons.statistics.distribution	Implementations of common discrete and continuous distributions.

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

Methods in org.apache.commons.math4.distribution with parameters of type UniformRandomProvider

Modifier and Type	Method	Description
DiscreteDistribution.Sampler	AbstractIntegerDistribution.createSampler(UniformRandomProvider rng)	Creates a sampler.
abstract MultivariateRealDistribution.Sampler	AbstractMultivariateRealDistribution.createSampler(UniformRandomProvider rng)	Creates a sampler.
ContinuousDistribution.Sampler	AbstractRealDistribution.createSampler(UniformRandomProvider rng)	Creates a sampler.
ContinuousDistribution.Sampler	EmpiricalDistribution.createSampler(UniformRandomProvider rng)	Creates a sampler.
EnumeratedDistribution.Sampler	EnumeratedDistribution.createSampler(UniformRandomProvider rng)	Creates a EnumeratedDistribution.Sampler.
DiscreteDistribution.Sampler	EnumeratedIntegerDistribution.createSampler(UniformRandomProvider rng)	Creates a sampler.
ContinuousDistribution.Sampler	EnumeratedRealDistribution.createSampler(UniformRandomProvider rng)	Creates a sampler.
MultivariateRealDistribution.Sampler	MixtureMultivariateRealDistribution.createSampler(UniformRandomProvider rng)	Creates a sampler.
MultivariateRealDistribution.Sampler	MultivariateNormalDistribution.createSampler(UniformRandomProvider rng)	Creates a sampler.
MultivariateRealDistribution.Sampler	MultivariateRealDistribution.createSampler(UniformRandomProvider rng)	Creates a sampler.

Uses of UniformRandomProvider in org.apache.commons.math4.random

Methods in org.apache.commons.math4.random that return UniformRandomProvider

Modifier and Type	Method	Description
static UniformRandomProvider	RandomUtils.asUniformRandomProvider(java.util.Random rng)	Wraps a Random instance.

Methods in org.apache.commons.math4.random with parameters of type UniformRandomProvider

Modifier and Type	Method	Description
static RandomUtils.DataGenerator	RandomUtils.createDataGenerator(UniformRandomProvider rng)

Constructors in org.apache.commons.math4.random with parameters of type UniformRandomProvider

Constructor	Description
GaussianRandomGenerator(UniformRandomProvider generator)	Creates a new generator.
StableRandomGenerator(UniformRandomProvider generator, double alpha, double beta)	Create a new generator.
UniformRandomGenerator(UniformRandomProvider generator)	Creates a new generator.

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

Methods in org.apache.commons.math4.stat.inference with parameters of type UniformRandomProvider

Modifier and Type	Method	Description
double	KolmogorovSmirnovTest.bootstrap(double[] x, double[] y, int iterations, boolean strict, UniformRandomProvider rng)	Estimates the p-value of a two-sample Kolmogorov-Smirnov test evaluating the null hypothesis that x and y are samples drawn from the same probability distribution.
static double	InferenceTestUtils.monteCarloP(double d, int n, int m, boolean strict, int iterations, UniformRandomProvider rng)
double	KolmogorovSmirnovTest.monteCarloP(double d, int n, int m, boolean strict, int iterations, UniformRandomProvider rng)	Uses Monte Carlo simulation to approximate \(P(D_{n,m} > d)\) where \(D_{n,m}\) is the 2-sample Kolmogorov-Smirnov statistic.

Uses of UniformRandomProvider in org.apache.commons.math4.stat.ranking

Constructors in org.apache.commons.math4.stat.ranking with parameters of type UniformRandomProvider

Constructor	Description
NaturalRanking(NaNStrategy nanStrategy, UniformRandomProvider randomGenerator)	Create a NaturalRanking with the given NaNStrategy, TiesStrategy.RANDOM and the given source of random data.
NaturalRanking(UniformRandomProvider randomGenerator)	Create a NaturalRanking with TiesStrategy.RANDOM and the given random generator as the source of random data.

Uses of UniformRandomProvider in org.apache.commons.rng

Subinterfaces of UniformRandomProvider in org.apache.commons.rng

Modifier and Type	Interface	Description
interface	RestorableUniformRandomProvider	Applies to generators whose internal state can be saved and restored.

Uses of UniformRandomProvider in org.apache.commons.rng.core

Classes in org.apache.commons.rng.core that implement UniformRandomProvider

Modifier and Type	Class	Description
class	BaseProvider	Base class with default implementation for common methods.

Uses of UniformRandomProvider in org.apache.commons.rng.core.source32

Classes in org.apache.commons.rng.core.source32 that implement UniformRandomProvider

Modifier and Type	Class	Description
class	AbstractWell	This abstract class implements the WELL class of pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
class	IntProvider	Base class for all implementations that provide an int-based source randomness.
class	ISAACRandom	A fast cryptographic pseudo-random number generator.
class	JDKRandom	A provider that uses the Random.nextInt() method of the JDK's Random class as the source of randomness.
class	KISSRandom	Port from Marsaglia's "KISS" algorithm.
class	MersenneTwister	This class implements a powerful pseudo-random number generator developed by Makoto Matsumoto and Takuji Nishimura during 1996-1997.
class	MultiplyWithCarry256	Port from Marsaglia's "Multiply-With-Carry" algorithm.
class	Well1024a	This class implements the WELL1024a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
class	Well19937a	This class implements the WELL19937a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
class	Well19937c	This class implements the WELL19937c pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
class	Well44497a	This class implements the WELL44497a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
class	Well44497b	This class implements the WELL44497b pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
class	Well512a	This class implements the WELL512a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
class	XoRoShiRo64Star	A fast 32-bit generator suitable for float generation.
class	XoRoShiRo64StarStar	A fast all-purpose 32-bit generator.
class	XoShiRo128Plus	A fast 32-bit generator suitable for float generation.
class	XoShiRo128StarStar	A fast all-purpose 32-bit generator.

Uses of UniformRandomProvider in org.apache.commons.rng.core.source64

Classes in org.apache.commons.rng.core.source64 that implement UniformRandomProvider

Modifier and Type	Class	Description
class	LongProvider	Base class for all implementations that provide a long-based source randomness.
class	MersenneTwister64	This class provides the 64-bits version of the originally 32-bits Mersenne Twister.
class	SplitMix64	A fast RNG, with 64 bits of state, that can be used to initialize the state of other generators.
class	TwoCmres	Random number generator designed by Mark D. Overton.
class	XoRoShiRo128Plus	A fast 64-bit generator suitable for double generation.
class	XoRoShiRo128StarStar	A fast all-purpose 64-bit generator.
class	XorShift1024Star	A fast RNG implementing the XorShift1024* algorithm.
class	XorShift1024StarPhi	A fast RNG implementing the XorShift1024* algorithm.
class	XoShiRo256Plus	A fast 64-bit generator suitable for double generation.
class	XoShiRo256StarStar	A fast all-purpose 64-bit generator.
class	XoShiRo512Plus	A fast 64-bit generator suitable for double generation.
class	XoShiRo512StarStar	A fast all-purpose generator.

Uses of UniformRandomProvider in org.apache.commons.rng.sampling

Methods in org.apache.commons.rng.sampling with parameters of type UniformRandomProvider

Modifier and Type	Method	Description
static <T> java.util.List<T>	ListSampler.sample(UniformRandomProvider rng, java.util.List<T> collection, int k)	Generates a list of size k whose entries are selected randomly, without repetition, from the items in the given collection.
static <T> void	ListSampler.shuffle(UniformRandomProvider rng, java.util.List<T> list)	Shuffles the entries of the given array.
static <T> void	ListSampler.shuffle(UniformRandomProvider rng, java.util.List<T> list, int start, boolean towardHead)	Shuffles the entries of the given array, using the Fisher-Yates algorithm.
static void	PermutationSampler.shuffle(UniformRandomProvider rng, int[] list)	Shuffles the entries of the given array.
static void	PermutationSampler.shuffle(UniformRandomProvider rng, int[] list, int start, boolean towardHead)	Shuffles the entries of the given array, using the Fisher-Yates algorithm.

Constructors in org.apache.commons.rng.sampling with parameters of type UniformRandomProvider

Constructor	Description
CollectionSampler(UniformRandomProvider rng, java.util.Collection<T> collection)	Creates a sampler.
CombinationSampler(UniformRandomProvider rng, int n, int k)	Creates a generator of combinations.
DiscreteProbabilityCollectionSampler(UniformRandomProvider rng, java.util.List<T> collection, double[] probabilities)	Creates a sampler.
DiscreteProbabilityCollectionSampler(UniformRandomProvider rng, java.util.Map<T,java.lang.Double> collection)	Creates a sampler.
PermutationSampler(UniformRandomProvider rng, int n, int k)	Creates a generator of permutations.
UnitSphereSampler(int dimension, UniformRandomProvider rng)

Uses of UniformRandomProvider in org.apache.commons.rng.sampling.distribution

Methods in org.apache.commons.rng.sampling.distribution with parameters of type UniformRandomProvider

Modifier and Type	Method	Description
DiscreteSampler	PoissonSamplerCache.createPoissonSampler(UniformRandomProvider rng, double mean)	Creates a new Poisson sampler.

Constructors in org.apache.commons.rng.sampling.distribution with parameters of type UniformRandomProvider

Constructor	Description
AhrensDieterExponentialSampler(UniformRandomProvider rng, double mean)
AhrensDieterMarsagliaTsangGammaSampler(UniformRandomProvider rng, double alpha, double theta)
BoxMullerGaussianSampler(UniformRandomProvider rng, double mean, double standardDeviation)	Deprecated.
BoxMullerLogNormalSampler(UniformRandomProvider rng, double scale, double shape)	Deprecated.
BoxMullerNormalizedGaussianSampler(UniformRandomProvider rng)
ChengBetaSampler(UniformRandomProvider rng, double alpha, double beta)	Creates a sampler instance.
ContinuousUniformSampler(UniformRandomProvider rng, double lo, double hi)
DiscreteUniformSampler(UniformRandomProvider rng, int lower, int upper)
GeometricSampler(UniformRandomProvider rng, double probabilityOfSuccess)	Creates a new geometric distribution sampler.
InverseTransformContinuousSampler(UniformRandomProvider rng, ContinuousInverseCumulativeProbabilityFunction function)
InverseTransformDiscreteSampler(UniformRandomProvider rng, DiscreteInverseCumulativeProbabilityFunction function)
InverseTransformParetoSampler(UniformRandomProvider rng, double scale, double shape)
LargeMeanPoissonSampler(UniformRandomProvider rng, double mean)
MarsagliaNormalizedGaussianSampler(UniformRandomProvider rng)
PoissonSampler(UniformRandomProvider rng, double mean)
RejectionInversionZipfSampler(UniformRandomProvider rng, int numberOfElements, double exponent)
SamplerBase(UniformRandomProvider rng)	Deprecated.
SmallMeanPoissonSampler(UniformRandomProvider rng, double mean)
ZigguratNormalizedGaussianSampler(UniformRandomProvider rng)

Uses of UniformRandomProvider in org.apache.commons.rng.simple

Methods in org.apache.commons.rng.simple that return UniformRandomProvider

Modifier and Type	Method	Description
static UniformRandomProvider	ThreadLocalRandomSource.current(RandomSource source)	Returns the current thread's copy of the given source.
static UniformRandomProvider	RandomSource.unrestorable(UniformRandomProvider delegate)	Wraps the given delegate generator in a new instance that does not allow access to the "save/restore" functionality.

Methods in org.apache.commons.rng.simple with parameters of type UniformRandomProvider

Modifier and Type	Method	Description
static UniformRandomProvider	RandomSource.unrestorable(UniformRandomProvider delegate)	Wraps the given delegate generator in a new instance that does not allow access to the "save/restore" functionality.

Uses of UniformRandomProvider in org.apache.commons.statistics.distribution

Methods in org.apache.commons.statistics.distribution with parameters of type UniformRandomProvider

Modifier and Type	Method	Description
ContinuousDistribution.Sampler	BetaDistribution.createSampler(UniformRandomProvider rng)	Creates a sampler.
ContinuousDistribution.Sampler	ConstantContinuousDistribution.createSampler(UniformRandomProvider rng)	Creates a sampler.
ContinuousDistribution.Sampler	ContinuousDistribution.createSampler(UniformRandomProvider rng)	Creates a sampler.
DiscreteDistribution.Sampler	DiscreteDistribution.createSampler(UniformRandomProvider rng)	Creates a sampler.
ContinuousDistribution.Sampler	ExponentialDistribution.createSampler(UniformRandomProvider rng)	Creates a sampler.
ContinuousDistribution.Sampler	GammaDistribution.createSampler(UniformRandomProvider rng)	Creates a sampler.
ContinuousDistribution.Sampler	LogNormalDistribution.createSampler(UniformRandomProvider rng)	Creates a sampler.
ContinuousDistribution.Sampler	NormalDistribution.createSampler(UniformRandomProvider rng)	Creates a sampler.
ContinuousDistribution.Sampler	ParetoDistribution.createSampler(UniformRandomProvider rng)	Creates a sampler.
DiscreteDistribution.Sampler	PoissonDistribution.createSampler(UniformRandomProvider rng)	Creates a sampler.
ContinuousDistribution.Sampler	UniformContinuousDistribution.createSampler(UniformRandomProvider rng)	Creates a sampler.
DiscreteDistribution.Sampler	UniformDiscreteDistribution.createSampler(UniformRandomProvider rng)	Creates a sampler.
DiscreteDistribution.Sampler	ZipfDistribution.createSampler(UniformRandomProvider rng)	Creates a sampler.