Uses of Interface
org.apache.commons.rng.sampling.SharedStateSampler

Packages that use SharedStateSampler

Package	Description
org.apache.commons.rng.sampling	Samplers
org.apache.commons.rng.sampling.distribution	Distribution samplers
org.apache.commons.rng.sampling.shape	Shape samplers

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

Subinterfaces of SharedStateSampler in org.apache.commons.rng.sampling

Modifier and Type	Interface	Description
interface	SharedStateObjectSampler<T>	Sampler that generates values of a specified type and can create new instances to sample from the same state with a given source of randomness.

Classes in org.apache.commons.rng.sampling that implement SharedStateSampler

Modifier and Type	Class	Description
class	CollectionSampler<T>	Sampling from a Collection.
class	CombinationSampler	Class for representing combinations of a sequence of integers.
class	DiscreteProbabilityCollectionSampler<T>	Sampling from a collection of items with user-defined probabilities.
class	PermutationSampler	Class for representing permutations of a sequence of integers.
class	UnitSphereSampler	Generate vectors isotropically located on the surface of a sphere.

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

Subinterfaces of SharedStateSampler in org.apache.commons.rng.sampling.distribution

Modifier and Type	Interface	Description
interface	SharedStateContinuousSampler	Sampler that generates values of type double and can create new instances to sample from the same state with a given source of randomness.
interface	SharedStateDiscreteSampler	Sampler that generates values of type int and can create new instances to sample from the same state with a given source of randomness.
interface	SharedStateLongSampler	Sampler that generates values of type long and can create new instances to sample from the same state with a given source of randomness.

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

Modifier and Type	Class	Description
class	AhrensDieterExponentialSampler	Sampling from an exponential distribution.
class	AhrensDieterMarsagliaTsangGammaSampler	Sampling from the gamma distribution.
class	AliasMethodDiscreteSampler	Distribution sampler that uses the Alias method.
class	BoxMullerNormalizedGaussianSampler	Box-Muller algorithm for sampling from Gaussian distribution with mean 0 and standard deviation 1.
class	ChengBetaSampler	Sampling from a beta distribution.
class	ContinuousUniformSampler	Sampling from a uniform distribution.
class	DirichletSampler	Sampling from a Dirichlet distribution.
class	DiscreteUniformSampler	Discrete uniform distribution sampler.
class	GaussianSampler	Sampling from a Gaussian distribution with given mean and standard deviation.
class	GuideTableDiscreteSampler	Compute a sample from n values each with an associated probability.
class	InverseTransformContinuousSampler	Distribution sampler that uses the inversion method.
class	InverseTransformDiscreteSampler	Distribution sampler that uses the inversion method.
class	InverseTransformParetoSampler	Sampling from a Pareto distribution.
class	KempSmallMeanPoissonSampler	Sampler for the Poisson distribution.
class	LargeMeanPoissonSampler	Sampler for the Poisson distribution.
class	LevySampler	Sampling from a Lévy distribution.
class	LogNormalSampler	Sampling from a log-normal distribution.
class	MarsagliaNormalizedGaussianSampler	Marsaglia polar method for sampling from a Gaussian distribution with mean 0 and standard deviation 1.
class	PoissonSampler	Sampler for the Poisson distribution.
class	RejectionInversionZipfSampler	Implementation of the Zipf distribution.
class	SmallMeanPoissonSampler	Sampler for the Poisson distribution.
class	StableSampler	Samples from a stable distribution.
class	UniformLongSampler	Discrete uniform distribution sampler generating values of type long.
class	ZigguratNormalizedGaussianSampler	Marsaglia and Tsang "Ziggurat" method for sampling from a Gaussian distribution with mean 0 and standard deviation 1.
class	ZigguratSampler	Modified ziggurat method for sampling from Gaussian and exponential distributions.
static class	ZigguratSampler.Exponential	Modified ziggurat method for sampling from an exponential distributions.
static class	ZigguratSampler.NormalizedGaussian	Modified ziggurat method for sampling from a Gaussian distribution with mean 0 and standard deviation 1.

Uses of SharedStateSampler in org.apache.commons.rng.sampling.shape

Classes in org.apache.commons.rng.sampling.shape that implement SharedStateSampler

Modifier and Type	Class	Description
class	BoxSampler	Generate points uniformly distributed within a n-dimension box (hyperrectangle).
class	LineSampler	Generate points uniformly distributed on a line.
class	TetrahedronSampler	Generate points uniformly distributed within a tetrahedron.
class	TriangleSampler	Generate points uniformly distributed within a triangle.
class	UnitBallSampler	Generate coordinates uniformly distributed within the unit n-ball.