Class LogNormalSampler
- java.lang.Object
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- org.apache.commons.rng.sampling.distribution.LogNormalSampler
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- All Implemented Interfaces:
ContinuousSampler
,SharedStateContinuousSampler
,SharedStateSampler<SharedStateContinuousSampler>
public class LogNormalSampler extends Object implements SharedStateContinuousSampler
Sampling from a log-normal distribution.- Since:
- 1.1
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Constructor Summary
Constructors Constructor Description LogNormalSampler(NormalizedGaussianSampler gaussian, double mu, double sigma)
Create an instance.
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description static SharedStateContinuousSampler
of(NormalizedGaussianSampler gaussian, double mu, double sigma)
Create a new log-normal distribution 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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LogNormalSampler
public LogNormalSampler(NormalizedGaussianSampler gaussian, double mu, double sigma)
Create an instance.- Parameters:
gaussian
- N(0,1) generator.mu
- Mean of the natural logarithm of the distribution values.sigma
- Standard deviation of the natural logarithm of the distribution values.- Throws:
IllegalArgumentException
- ifsigma <= 0
.
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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.Note: This function is available if the underlying
NormalizedGaussianSampler
is aSharedStateSampler
. Otherwise a run-time exception is thrown.- Specified by:
withUniformRandomProvider
in interfaceSharedStateSampler<SharedStateContinuousSampler>
- Parameters:
rng
- Generator of uniformly distributed random numbers.- Returns:
- the sampler
- Throws:
UnsupportedOperationException
- if the underlying sampler is not aSharedStateSampler
or does not return aNormalizedGaussianSampler
when sharing state.- Since:
- 1.3
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of
public static SharedStateContinuousSampler of(NormalizedGaussianSampler gaussian, double mu, double sigma)
Create a new log-normal distribution sampler.Note: The shared-state functionality is available if the
NormalizedGaussianSampler
is aSharedStateSampler
. Otherwise a run-time exception will be thrown when the sampler is used to share state.- Parameters:
gaussian
- N(0,1) generator.mu
- Mean of the natural logarithm of the distribution values.sigma
- Standard deviation of the natural logarithm of the distribution values.- Returns:
- the sampler
- Throws:
IllegalArgumentException
- ifsigma <= 0
.- Since:
- 1.3
- See Also:
withUniformRandomProvider(UniformRandomProvider)
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