public static class ZigguratSampler.Exponential extends ZigguratSampler
ZigguratSampler.Exponential, ZigguratSampler.NormalizedGaussian| Modifier and Type | Method and Description |
|---|---|
static ZigguratSampler.Exponential |
of(UniformRandomProvider rng)
Create a new exponential sampler with
mean = 1. |
static ZigguratSampler.Exponential |
of(UniformRandomProvider rng,
double mean)
Create a new exponential sampler with the specified
mean. |
double |
sample()
Creates a
double sample. |
String |
toString() |
ZigguratSampler.Exponential |
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.
|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitsamples, samplespublic double sample()
double sample.public ZigguratSampler.Exponential withUniformRandomProvider(UniformRandomProvider rng)
rng - Generator of uniformly distributed random numbers.public static ZigguratSampler.Exponential of(UniformRandomProvider rng)
mean = 1.rng - Generator of uniformly distributed random numbers.public static ZigguratSampler.Exponential of(UniformRandomProvider rng, double mean)
mean.rng - Generator of uniformly distributed random numbers.mean - Mean.IllegalArgumentException - if the mean is not strictly positive (mean <= 0)Copyright © 2016–2022 The Apache Software Foundation. All rights reserved.