Class StableSampler.TransformedStableSampler
- 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.TransformedStableSampler
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- All Implemented Interfaces:
ContinuousSampler
,SharedStateContinuousSampler
,SharedStateSampler<SharedStateContinuousSampler>
- Enclosing class:
- StableSampler
private static final class StableSampler.TransformedStableSampler extends StableSampler
Class for implementations of a stable distribution transformed by scale and location.
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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
delta
The location parameter.private double
gamma
The scale parameter.private StableSampler
sampler
Underlying normalized stable sampler.
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Constructor Summary
Constructors Constructor Description TransformedStableSampler(StableSampler sampler, double gamma, double delta)
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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.java.lang.String
toString()
StableSampler
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
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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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sampler
private final StableSampler sampler
Underlying normalized stable sampler.
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gamma
private final double gamma
The scale parameter.
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delta
private final double delta
The location parameter.
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Constructor Detail
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TransformedStableSampler
TransformedStableSampler(StableSampler sampler, double gamma, double delta)
- Parameters:
sampler
- Normalized stable sampler.gamma
- Scale parameter. Must be strictly positive.delta
- Location parameter.
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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 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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toString
public java.lang.String toString()
Description copied from class:StableSampler
- Overrides:
toString
in classStableSampler
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