Class StableSampler.GaussianStableSampler
- java.lang.Object
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- org.apache.commons.rng.sampling.distribution.StableSampler
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- org.apache.commons.rng.sampling.distribution.StableSampler.GaussianStableSampler
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- All Implemented Interfaces:
ContinuousSampler
,SharedStateContinuousSampler
,SharedStateSampler<SharedStateContinuousSampler>
- Enclosing class:
- StableSampler
private static final class StableSampler.GaussianStableSampler extends StableSampler
Implement thealpha = 2
stable distribution case (Gaussian distribution).
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Nested Class Summary
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Nested classes/interfaces inherited from class org.apache.commons.rng.sampling.distribution.StableSampler
StableSampler.Alpha1CMSStableSampler, StableSampler.Beta0CMSStableSampler, StableSampler.Beta0WeronStableSampler, StableSampler.CMSStableSampler, StableSampler.SpecialMath, StableSampler.WeronStableSampler
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Field Summary
Fields Modifier and Type Field Description private double
mean
The mean.private static double
ROOT_2
sqrt(2).private NormalizedGaussianSampler
sampler
Underlying normalized Gaussian sampler.private double
stdDev
The standard deviation.
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Constructor Summary
Constructors Constructor Description GaussianStableSampler(UniformRandomProvider rng, double gamma, double delta)
GaussianStableSampler(UniformRandomProvider rng, StableSampler.GaussianStableSampler source)
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description double
sample()
Generate a sample from a stable distribution.StableSampler.GaussianStableSampler
withUniformRandomProvider(UniformRandomProvider rng)
Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.-
Methods inherited from class org.apache.commons.rng.sampling.distribution.StableSampler
nextLong, of, of, toString
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Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
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Methods inherited from interface org.apache.commons.rng.sampling.distribution.ContinuousSampler
samples, samples
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Field Detail
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ROOT_2
private static final double ROOT_2
sqrt(2).
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sampler
private final NormalizedGaussianSampler sampler
Underlying normalized Gaussian sampler.
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stdDev
private final double stdDev
The standard deviation.
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mean
private final double mean
The mean.
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Constructor Detail
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GaussianStableSampler
GaussianStableSampler(UniformRandomProvider rng, double gamma, double delta)
- Parameters:
rng
- Underlying source of randomnessgamma
- Scale parameter. Must be strictly positive.delta
- Location parameter.
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GaussianStableSampler
GaussianStableSampler(UniformRandomProvider rng, StableSampler.GaussianStableSampler source)
- Parameters:
rng
- Underlying source of randomnesssource
- Source to copy.
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Method Detail
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sample
public double sample()
Description copied from class:StableSampler
Generate a sample from a stable distribution.The distribution uses the 0-parameterization: S(alpha, beta, gamma, delta; 0).
- Specified by:
sample
in interfaceContinuousSampler
- Specified by:
sample
in classStableSampler
- Returns:
- a sample.
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withUniformRandomProvider
public StableSampler.GaussianStableSampler withUniformRandomProvider(UniformRandomProvider rng)
Description copied from class:StableSampler
Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.- Specified by:
withUniformRandomProvider
in interfaceSharedStateSampler<SharedStateContinuousSampler>
- Specified by:
withUniformRandomProvider
in classStableSampler
- Parameters:
rng
- Generator of uniformly distributed random numbers.- Returns:
- the sampler
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