Class ZigguratSampler.Exponential.ExponentialMean

java.lang.Object

org.apache.commons.rng.sampling.distribution.ZigguratSampler

org.apache.commons.rng.sampling.distribution.ZigguratSampler.Exponential

org.apache.commons.rng.sampling.distribution.ZigguratSampler.Exponential.ExponentialMean

All Implemented Interfaces:

ContinuousSampler, SharedStateContinuousSampler, SharedStateSampler<SharedStateContinuousSampler>

Enclosing class:

ZigguratSampler.Exponential

private static final class ZigguratSampler.Exponential.ExponentialMean
extends ZigguratSampler.Exponential

Specialisation which multiplies the standard exponential result by a specified mean.

Since:

1.4

Nested Class Summary

Nested classes/interfaces inherited from class ZigguratSampler

ZigguratSampler.Exponential, ZigguratSampler.NormalizedGaussian

Field Summary

Fields

Modifier and Type	Field	Description
private final double	mean	Mean.

Constructor Summary

Constructors

Constructor	Description
ExponentialMean(UniformRandomProvider rng, double mean)

Method Summary

Modifier and Type	Method	Description
double	sample()	Creates a double sample.
ZigguratSampler.Exponential.ExponentialMean	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 ZigguratSampler.Exponential

of, of, toString

Methods inherited from class ZigguratSampler

interpolate, nextLong, randomInt63, toString

Methods inherited from class Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface ContinuousSampler

samples, samples

Field Details

mean

private final double mean

Mean.

Constructor Details

ExponentialMean

ExponentialMean(UniformRandomProvider rng,
 double mean)

Parameters:

rng - Generator of uniformly distributed random numbers.

mean - Mean.

Method Details

sample

public double sample()

Description copied from class: ZigguratSampler.Exponential

Creates a double sample.

Specified by:

sample in interface ContinuousSampler

Overrides:

sample in class ZigguratSampler.Exponential

Returns:

a sample.

withUniformRandomProvider

public ZigguratSampler.Exponential.ExponentialMean withUniformRandomProvider(UniformRandomProvider rng)

Description copied from class: ZigguratSampler.Exponential

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 interface SharedStateSampler<SharedStateContinuousSampler>

Overrides:

withUniformRandomProvider in class ZigguratSampler.Exponential

Parameters:

rng - Generator of uniformly distributed random numbers.

Returns:

the sampler