Package org.hipparchus.distribution.multivariate

Class AbstractMultivariateRealDistribution

java.lang.Object

org.hipparchus.distribution.multivariate.AbstractMultivariateRealDistribution

All Implemented Interfaces:

MultivariateRealDistribution

Direct Known Subclasses:

MixtureMultivariateRealDistribution, MultivariateNormalDistribution

public abstract class AbstractMultivariateRealDistribution
extends Object
implements MultivariateRealDistribution

Base class for multivariate probability distributions.

Field Summary

Fields

Modifier and Type	Field	Description
protected final RandomGenerator	random	RNG instance used to generate samples from the distribution.

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	AbstractMultivariateRealDistribution(RandomGenerator rng, int n)	Simple constructor.

Method Summary

Modifier and Type	Method	Description
int	getDimension()	Gets the number of random variables of the distribution.
void	reseedRandomGenerator(long seed)	Reseeds the random generator used to generate samples.
abstract double[]	sample()	Generates a random value vector sampled from this distribution.
double[][]	sample(int sampleSize)	Generates a list of a random value vectors from the distribution.

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.hipparchus.distribution.MultivariateRealDistribution

density

Field Details

random

protected final RandomGenerator random

RNG instance used to generate samples from the distribution.

Constructor Details

AbstractMultivariateRealDistribution

protected AbstractMultivariateRealDistribution(RandomGenerator rng,
 int n)

Simple constructor.

Parameters:

rng - Random number generator.

n - Number of dimensions.

Method Details

reseedRandomGenerator

public void reseedRandomGenerator(long seed)

Reseeds the random generator used to generate samples.

Specified by:

reseedRandomGenerator in interface MultivariateRealDistribution

Parameters:

seed - Seed with which to initialize the random number generator.

getDimension

public int getDimension()

Gets the number of random variables of the distribution. It is the size of the array returned by the sample method.

Specified by:

getDimension in interface MultivariateRealDistribution

Returns:

the number of variables.

sample

public abstract double[] sample()

Generates a random value vector sampled from this distribution.

Specified by:

sample in interface MultivariateRealDistribution

Returns:

a random value vector.

sample

public double[][] sample(int sampleSize)

Generates a list of a random value vectors from the distribution.

Specified by:

sample in interface MultivariateRealDistribution

Parameters:

sampleSize - the number of random vectors to generate.

Returns:

an array representing the random samples.

See Also:

• MultivariateRealDistribution.sample()