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

Packages that use NormalizedGaussianSampler

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

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

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

Modifier and Type	Class	Description
class	BoxMullerNormalizedGaussianSampler	Box-Muller algorithm for sampling from Gaussian distribution with mean 0 and standard deviation 1.
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.
static class	ZigguratSampler.NormalizedGaussian	Modified ziggurat method for sampling from a Gaussian distribution with mean 0 and standard deviation 1.

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

Modifier and Type	Method	Description
static <S extends NormalizedGaussianSampler & SharedStateContinuousSampler> S	BoxMullerNormalizedGaussianSampler.of(UniformRandomProvider rng)	Create a new normalised Gaussian sampler.
static <S extends NormalizedGaussianSampler & SharedStateContinuousSampler> S	MarsagliaNormalizedGaussianSampler.of(UniformRandomProvider rng)	Create a new normalised Gaussian sampler.
static <S extends NormalizedGaussianSampler & SharedStateContinuousSampler> S	ZigguratNormalizedGaussianSampler.of(UniformRandomProvider rng)	Create a new normalised Gaussian sampler.

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

Modifier and Type	Method	Description
static SharedStateContinuousSampler	GaussianSampler.of(NormalizedGaussianSampler normalized, double mean, double standardDeviation)	Create a new normalised Gaussian sampler.
static SharedStateContinuousSampler	LogNormalSampler.of(NormalizedGaussianSampler gaussian, double mu, double sigma)	Create a new log-normal distribution sampler.

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

Constructor	Description
GaussianSampler(NormalizedGaussianSampler normalized, double mean, double standardDeviation)	Create an instance.
LogNormalSampler(NormalizedGaussianSampler gaussian, double mu, double sigma)	Create an instance.