Package org.apache.commons.rng.sampling.distribution

Class AhrensDieterExponentialSampler

java.lang.Object

org.apache.commons.rng.sampling.distribution.SamplerBase

org.apache.commons.rng.sampling.distribution.AhrensDieterExponentialSampler

All Implemented Interfaces:

ContinuousSampler, SharedStateContinuousSampler, SharedStateSampler<SharedStateContinuousSampler>

public class AhrensDieterExponentialSampler
extends SamplerBase
implements SharedStateContinuousSampler

Sampling from an exponential distribution.

Sampling uses:

• UniformRandomProvider.nextLong()
• UniformRandomProvider.nextDouble()

Since:

1.0

Constructor Summary

Constructors

Constructor	Description
AhrensDieterExponentialSampler(UniformRandomProvider rng, double mean)

Method Summary

Modifier and Type	Method	Description
static SharedStateContinuousSampler	of(UniformRandomProvider rng, double mean)	Create a new exponential distribution sampler.
double	sample()	Creates a 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 org.apache.commons.rng.sampling.distribution.SamplerBase

nextDouble, nextInt, nextInt, nextLong

Methods inherited from class java.lang.Object

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

Constructor Detail

AhrensDieterExponentialSampler

public AhrensDieterExponentialSampler(UniformRandomProvider rng,
                                      double mean)

Parameters:

rng - Generator of uniformly distributed random numbers.

mean - Mean of this distribution.

Throws:

IllegalArgumentException - if mean <= 0

Method Detail

sample

public double sample()

Creates a sample.

Specified by:

sample in interface ContinuousSampler

Returns:

a sample.

toString

public String toString()

Overrides:

toString in class SamplerBase

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 interface SharedStateSampler<SharedStateContinuousSampler>

Parameters:

rng - Generator of uniformly distributed random numbers.

Returns:

the sampler

Since:

1.3

of

public static SharedStateContinuousSampler of(UniformRandomProvider rng,
                                              double mean)

Create a new exponential distribution sampler.

Parameters:

rng - Generator of uniformly distributed random numbers.

mean - Mean of the distribution.

Returns:

the sampler

Throws:

IllegalArgumentException - if mean <= 0

Since:

1.3