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

Packages that use NormalizedGaussianSampler

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.
org.apache.commons.rng.sampling.shape	This package contains classes for sampling coordinates from shapes, for example a unit ball.

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

Fields in org.apache.commons.rng.sampling declared as NormalizedGaussianSampler

Modifier and Type	Field	Description
private NormalizedGaussianSampler	UnitSphereSampler.UnitSphereSampler2D.sampler	Sampler used for generating the individual components of the vectors.
private NormalizedGaussianSampler	UnitSphereSampler.UnitSphereSampler3D.sampler	Sampler used for generating the individual components of the vectors.
private NormalizedGaussianSampler	UnitSphereSampler.UnitSphereSamplerND.sampler	Sampler used for generating the individual components of the vectors.

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.

Fields in org.apache.commons.rng.sampling.distribution declared as NormalizedGaussianSampler

Modifier and Type	Field	Description
private NormalizedGaussianSampler	AhrensDieterMarsagliaTsangGammaSampler.MarsagliaTsangGammaSampler.gaussian	Gaussian sampling.
private NormalizedGaussianSampler	LevySampler.gaussian	Gaussian sampler.
private NormalizedGaussianSampler	LogNormalSampler.gaussian	Gaussian sampling.
private NormalizedGaussianSampler	GaussianSampler.normalized	Normalized Gaussian sampler.
private NormalizedGaussianSampler	StableSampler.GaussianStableSampler.sampler	Underlying normalized Gaussian sampler.
private NormalizedGaussianSampler	StableSampler.LevyStableSampler.sampler	Underlying normalized Gaussian sampler.
private NormalizedGaussianSampler	TSampler.NormalTSampler.sampler	Underlying normalized Gaussian sampler.

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 that return NormalizedGaussianSampler

Modifier and Type	Method	Description
(package private) static NormalizedGaussianSampler	InternalUtils.newNormalizedGaussianSampler(NormalizedGaussianSampler sampler, UniformRandomProvider rng)	Create a new instance of the given sampler using SharedStateSampler.withUniformRandomProvider(UniformRandomProvider).

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

Modifier and Type	Method	Description
(package private) static NormalizedGaussianSampler	InternalUtils.newNormalizedGaussianSampler(NormalizedGaussianSampler sampler, UniformRandomProvider rng)	Create a new instance of the given sampler using SharedStateSampler.withUniformRandomProvider(UniformRandomProvider).
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(double mean, double standardDeviation, NormalizedGaussianSampler normalized)
GaussianSampler(NormalizedGaussianSampler normalized, double mean, double standardDeviation)	Create an instance.
LogNormalSampler(double mu, double sigma, NormalizedGaussianSampler gaussian)
LogNormalSampler(NormalizedGaussianSampler gaussian, double mu, double sigma)	Create an instance.

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

Fields in org.apache.commons.rng.sampling.shape declared as NormalizedGaussianSampler

Modifier and Type	Field	Description
private NormalizedGaussianSampler	UnitBallSampler.UnitBallSampler3D.normal	The standard normal distribution.
private NormalizedGaussianSampler	UnitBallSampler.UnitBallSamplerND.normal	The standard normal distribution.