Uses of Interface
org.apache.commons.rng.sampling.distribution.SharedStateDiscreteSampler

Packages that use SharedStateDiscreteSampler

Package	Description
org.apache.commons.rng.sampling	This package provides sampling utilities.
org.apache.commons.rng.sampling.distribution	This package contains classes for sampling from statistical distributions.

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

Methods in org.apache.commons.rng.sampling that return types with arguments of type SharedStateDiscreteSampler

Modifier and Type	Method	Description
static CompositeSamplers.Builder<SharedStateDiscreteSampler>	CompositeSamplers.newSharedStateDiscreteSamplerBuilder()	Create a new builder for a composite SharedStateDiscreteSampler.

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

Classes in org.apache.commons.rng.sampling.distribution that implement SharedStateDiscreteSampler

Modifier and Type	Class	Description
class	AliasMethodDiscreteSampler	Distribution sampler that uses the Alias method.
class	DiscreteUniformSampler	Discrete uniform distribution sampler.
class	FastLoadedDiceRollerDiscreteSampler	Distribution sampler that uses the Fast Loaded Dice Roller (FLDR).
class	GuideTableDiscreteSampler	Compute a sample from n values each with an associated probability.
class	InverseTransformDiscreteSampler	Distribution sampler that uses the inversion method.
class	KempSmallMeanPoissonSampler	Sampler for the Poisson distribution.
class	LargeMeanPoissonSampler	Sampler for the Poisson distribution.
class	PoissonSampler	Sampler for the Poisson distribution.
class	RejectionInversionZipfSampler	Implementation of the Zipf distribution.
class	SmallMeanPoissonSampler	Sampler for the Poisson distribution.

Methods in org.apache.commons.rng.sampling.distribution that return SharedStateDiscreteSampler

Modifier and Type	Method	Description
SharedStateDiscreteSampler	PoissonSamplerCache.createSharedStateSampler(UniformRandomProvider rng, double mean)	Creates a new Poisson sampler.
static SharedStateDiscreteSampler	AliasMethodDiscreteSampler.of(UniformRandomProvider rng, double[] probabilities)	Creates a sampler.
static SharedStateDiscreteSampler	AliasMethodDiscreteSampler.of(UniformRandomProvider rng, double[] probabilities, int alpha)	Creates a sampler.
static SharedStateDiscreteSampler	DiscreteUniformSampler.of(UniformRandomProvider rng, int lower, int upper)	Creates a new discrete uniform distribution sampler.
static SharedStateDiscreteSampler	GeometricSampler.of(UniformRandomProvider rng, double probabilityOfSuccess)	Creates a new geometric distribution sampler.
static SharedStateDiscreteSampler	GuideTableDiscreteSampler.of(UniformRandomProvider rng, double[] probabilities)	Create a new sampler for an enumerated distribution using the given probabilities.
static SharedStateDiscreteSampler	GuideTableDiscreteSampler.of(UniformRandomProvider rng, double[] probabilities, double alpha)	Create a new sampler for an enumerated distribution using the given probabilities.
static SharedStateDiscreteSampler	InverseTransformDiscreteSampler.of(UniformRandomProvider rng, DiscreteInverseCumulativeProbabilityFunction function)	Create a new inverse-transform discrete sampler.
static SharedStateDiscreteSampler	KempSmallMeanPoissonSampler.of(UniformRandomProvider rng, double mean)	Creates a new sampler for the Poisson distribution.
static SharedStateDiscreteSampler	LargeMeanPoissonSampler.of(UniformRandomProvider rng, double mean)	Creates a new Poisson distribution sampler.
static SharedStateDiscreteSampler	MarsagliaTsangWangDiscreteSampler.Binomial.of(UniformRandomProvider rng, int trials, double probabilityOfSuccess)	Creates a sampler for the Binomial distribution.
static SharedStateDiscreteSampler	MarsagliaTsangWangDiscreteSampler.Enumerated.of(UniformRandomProvider rng, double[] probabilities)	Creates a sampler for an enumerated distribution of n values each with an associated probability.
static SharedStateDiscreteSampler	MarsagliaTsangWangDiscreteSampler.Poisson.of(UniformRandomProvider rng, double mean)	Creates a sampler for the Poisson distribution.
static SharedStateDiscreteSampler	PoissonSampler.of(UniformRandomProvider rng, double mean)	Creates a new Poisson distribution sampler.
static SharedStateDiscreteSampler	RejectionInversionZipfSampler.of(UniformRandomProvider rng, int numberOfElements, double exponent)	Creates a new Zipf distribution sampler.
static SharedStateDiscreteSampler	SmallMeanPoissonSampler.of(UniformRandomProvider rng, double mean)	Creates a new sampler for the Poisson distribution.
SharedStateDiscreteSampler	AliasMethodDiscreteSampler.withUniformRandomProvider(UniformRandomProvider rng)	Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.
SharedStateDiscreteSampler	DiscreteUniformSampler.withUniformRandomProvider(UniformRandomProvider rng)	Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.
SharedStateDiscreteSampler	GuideTableDiscreteSampler.withUniformRandomProvider(UniformRandomProvider rng)	Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.
SharedStateDiscreteSampler	InverseTransformDiscreteSampler.withUniformRandomProvider(UniformRandomProvider rng)	Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.
SharedStateDiscreteSampler	KempSmallMeanPoissonSampler.withUniformRandomProvider(UniformRandomProvider rng)	Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.
SharedStateDiscreteSampler	LargeMeanPoissonSampler.withUniformRandomProvider(UniformRandomProvider rng)	Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.
SharedStateDiscreteSampler	PoissonSampler.withUniformRandomProvider(UniformRandomProvider rng)	Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.
SharedStateDiscreteSampler	RejectionInversionZipfSampler.withUniformRandomProvider(UniformRandomProvider rng)	Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.
SharedStateDiscreteSampler	SmallMeanPoissonSampler.withUniformRandomProvider(UniformRandomProvider rng)	Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.