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:
- Since:
- 1.0
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Constructor Summary
ConstructorsConstructorDescriptionAhrensDieterExponentialSampler(UniformRandomProvider rng, double mean) Create an instance. -
Method Summary
Modifier and TypeMethodDescriptionstatic SharedStateContinuousSamplerof(UniformRandomProvider rng, double mean) Create a new exponential distribution sampler.doublesample()Creates adoublesample.toString()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, nextLongMethods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitMethods inherited from interface org.apache.commons.rng.sampling.distribution.ContinuousSampler
samples, samples
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Constructor Details
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AhrensDieterExponentialSampler
Create an instance.- Parameters:
rng- Generator of uniformly distributed random numbers.mean- Mean of this distribution.- Throws:
IllegalArgumentException- ifmean <= 0
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Method Details
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sample
Creates adoublesample.- Specified by:
samplein interfaceContinuousSampler- Returns:
- a sample.
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toString
- Overrides:
toStringin classSamplerBase
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withUniformRandomProvider
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:
withUniformRandomProviderin interfaceSharedStateSampler<SharedStateContinuousSampler>- Parameters:
rng- Generator of uniformly distributed random numbers.- Returns:
- the sampler
- Since:
- 1.3
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of
Create a new exponential distribution sampler.- Parameters:
rng- Generator of uniformly distributed random numbers.mean- Mean of the distribution.- Returns:
- the sampler
- Throws:
IllegalArgumentException- ifmean <= 0- Since:
- 1.3
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