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

Packages that use ContinuousSampler

Package	Description
org.apache.commons.rng.sampling.distribution	Distribution samplers

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

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

Modifier and Type	Interface	Description
interface	NormalizedGaussianSampler	Marker interface for a sampler that generates values from an N(0,1) Gaussian distribution.
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.

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

Modifier and Type	Class	Description
class	AhrensDieterExponentialSampler	Sampling from an exponential distribution.
class	AhrensDieterMarsagliaTsangGammaSampler	Sampling from the gamma distribution.
class	BoxMullerGaussianSampler	Deprecated. Since version 1.1. Please use BoxMullerNormalizedGaussianSampler and GaussianSampler instead.
class	BoxMullerLogNormalSampler	Deprecated. Since version 1.1. Please use LogNormalSampler instead.
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	GaussianSampler	Sampling from a Gaussian distribution with given mean and standard deviation.
class	InverseTransformContinuousSampler	Distribution sampler that uses the inversion method.
class	InverseTransformParetoSampler	Sampling from a Pareto 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	ZigguratNormalizedGaussianSampler	Marsaglia and Tsang "Ziggurat" method for sampling from a Gaussian distribution with mean 0 and standard deviation 1.