Class TriangleSampler.TriangleSamplerND

java.lang.Object

org.apache.commons.rng.sampling.shape.TriangleSampler

org.apache.commons.rng.sampling.shape.TriangleSampler.TriangleSamplerND

All Implemented Interfaces:

ObjectSampler<double[]>, SharedStateObjectSampler<double[]>, SharedStateSampler<SharedStateObjectSampler<double[]>>

Enclosing class:

TriangleSampler

private static final class TriangleSampler.TriangleSamplerND
extends TriangleSampler

Sample uniformly from a triangle in ND.

Since:

1.4

Field Summary

Fields

Modifier and Type	Field	Description
private final double[]	a	The first vertex.
private final double[]	b	The second vertex.
private final double[]	c	The third vertex.

Constructor Summary

Constructors

Constructor	Description
TriangleSamplerND(UniformRandomProvider rng, double[] a, double[] b, double[] c)
TriangleSamplerND(UniformRandomProvider rng, TriangleSampler.TriangleSamplerND source)

Method Summary

Modifier and Type	Method	Description
double[]	createSample(double p1msmt, double s, double t)	Creates the sample given the random variates s and t in the interval [0, 1] and s + t <= 1.
TriangleSampler	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 TriangleSampler

of, sample

Methods inherited from class Object

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

Methods inherited from interface ObjectSampler

samples, samples

Field Details

a

private final double[] a

The first vertex.

b

private final double[] b

The second vertex.

c

private final double[] c

The third vertex.

Constructor Details

TriangleSamplerND

TriangleSamplerND(UniformRandomProvider rng,
 double[] a,
 double[] b,
 double[] c)

Parameters:

rng - Source of randomness.

a - The first vertex.

b - The second vertex.

c - The third vertex.

TriangleSamplerND

TriangleSamplerND(UniformRandomProvider rng,
 TriangleSampler.TriangleSamplerND source)

Parameters:

rng - Generator of uniformly distributed random numbers

source - Source to copy.

Method Details

createSample

public double[] createSample(double p1msmt,
 double s,
 double t)

Description copied from class: TriangleSampler

Creates the sample given the random variates s and t in the interval [0, 1] and s + t <= 1. The sum 1 - s - t is provided. The sample can be obtained from the triangle abc using:

p = a(1 - s - t) + sb + tc

Specified by:

createSample in class TriangleSampler

Parameters:

p1msmt - plus 1 minus s minus t (1 - s - t)

s - the first variate s

t - the second variate t

Returns:

the sample

withUniformRandomProvider

public TriangleSampler withUniformRandomProvider(UniformRandomProvider rng)

Description copied from class: TriangleSampler

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<SharedStateObjectSampler<double[]>>

Specified by:

withUniformRandomProvider in class TriangleSampler

Parameters:

rng - Generator of uniformly distributed random numbers.

Returns:

the sampler