hep.dataforge.maths.integration

Class DistributionSampler

java.lang.Object

hep.dataforge.maths.integration.Sampler

hep.dataforge.maths.integration.DistributionSampler

public class DistributionSampler
extends Sampler

DistributionSampler class.

Field Summary

Fields inherited from class hep.dataforge.maths.integration.Sampler

generator

Constructor Summary

Constructors

Constructor and Description
DistributionSampler(org.apache.commons.math3.random.RandomGenerator rng, double[] means, double[][] covariance) Constructor for DistributionSampler.
DistributionSampler(org.apache.commons.math3.random.RandomGenerator generator, org.apache.commons.math3.distribution.MultivariateRealDistribution distr) Constructor for DistributionSampler.

Method Summary

Modifier and Type	Method and Description
int	getDimension() getDimension.
Sample	nextSample() nextSample.

Methods inherited from class hep.dataforge.maths.integration.Sampler

nextNSamples

Methods inherited from class java.lang.Object

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

Constructor Detail

DistributionSampler

public DistributionSampler(org.apache.commons.math3.random.RandomGenerator generator,
                           org.apache.commons.math3.distribution.MultivariateRealDistribution distr)

Constructor for DistributionSampler.

Parameters:

generator - a RandomGenerator object.

distr - a MultivariateRealDistribution object.

DistributionSampler

public DistributionSampler(org.apache.commons.math3.random.RandomGenerator rng,
                           double[] means,
                           double[][] covariance)

Constructor for DistributionSampler.

Parameters:

rng - a RandomGenerator object.

means - an array of double.

covariance - an array of double.

Method Detail

getDimension

public int getDimension()

getDimension.

Specified by:

getDimension in class Sampler

Returns:

nextSample

public Sample nextSample()

nextSample.

Specified by:

nextSample in class Sampler

Returns: