Uses of Interface
org.apache.commons.rng.sampling.distribution.NormalizedGaussianSampler
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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. -
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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>
SBoxMullerNormalizedGaussianSampler. of(UniformRandomProvider rng)
Create a new normalised Gaussian sampler.static <S extends NormalizedGaussianSampler & SharedStateContinuousSampler>
SMarsagliaNormalizedGaussianSampler. of(UniformRandomProvider rng)
Create a new normalised Gaussian sampler.static <S extends NormalizedGaussianSampler & SharedStateContinuousSampler>
SZigguratNormalizedGaussianSampler. 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 usingSharedStateSampler.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 usingSharedStateSampler.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(NormalizedGaussianSampler normalized, double mean, double standardDeviation)
LogNormalSampler(NormalizedGaussianSampler gaussian, double mu, double sigma)
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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.
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