Class MarsagliaNormalizedGaussianSampler
- java.lang.Object
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- org.apache.commons.rng.sampling.distribution.MarsagliaNormalizedGaussianSampler
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- All Implemented Interfaces:
ContinuousSampler
,NormalizedGaussianSampler
,SharedStateContinuousSampler
,SharedStateSampler<SharedStateContinuousSampler>
public class MarsagliaNormalizedGaussianSampler extends Object implements NormalizedGaussianSampler, SharedStateContinuousSampler
Marsaglia polar method for sampling from a Gaussian distribution with mean 0 and standard deviation 1. This is a variation of the algorithm implemented inBoxMullerNormalizedGaussianSampler
.Sampling uses
UniformRandomProvider.nextDouble()
.- Since:
- 1.1
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Constructor Summary
Constructors Constructor Description MarsagliaNormalizedGaussianSampler(UniformRandomProvider rng)
Create an instance.
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description static <S extends NormalizedGaussianSampler & SharedStateContinuousSampler>
Sof(UniformRandomProvider rng)
Create a new normalised Gaussian sampler.double
sample()
Creates adouble
sample.String
toString()
SharedStateContinuousSampler
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 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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Constructor Detail
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MarsagliaNormalizedGaussianSampler
public MarsagliaNormalizedGaussianSampler(UniformRandomProvider rng)
Create an instance.- Parameters:
rng
- Generator of uniformly distributed random numbers.
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Method Detail
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sample
public double sample()
Creates adouble
sample.- Specified by:
sample
in interfaceContinuousSampler
- Returns:
- a sample.
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withUniformRandomProvider
public SharedStateContinuousSampler 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.- Specified by:
withUniformRandomProvider
in interfaceSharedStateSampler<SharedStateContinuousSampler>
- Parameters:
rng
- Generator of uniformly distributed random numbers.- Returns:
- the sampler
- Since:
- 1.3
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of
public static <S extends NormalizedGaussianSampler & SharedStateContinuousSampler> S of(UniformRandomProvider rng)
Create a new normalised Gaussian sampler.- Type Parameters:
S
- Sampler type.- Parameters:
rng
- Generator of uniformly distributed random numbers.- Returns:
- the sampler
- Since:
- 1.3
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