de.jstacs.utils.random

Class MultivariateRandomGenerator

java.lang.Object

de.jstacs.utils.random.MultivariateRandomGenerator

Direct Known Subclasses:

DirichletMRG, EqualParts, ErlangMRG, SoftOneOfN

public abstract class MultivariateRandomGenerator
extends Object

This class is the abstract super class for any multivariate random generator (MRG). Some random generators need parameters. These will be given by an object MRGParams.

Author:

Jens Keilwagen

See Also:

MRGParams

Constructor Summary

Constructors

Constructor and Description
MultivariateRandomGenerator()

Method Summary

Methods

Modifier and Type	Method and Description
abstract void	generate(double[] d, int start, int n, MRGParams p) Generates a n-dimensional random array as part of the array d beginning at start.
double[]	generate(int n, MRGParams p) Generates a n-dimensional random array.

Methods inherited from class java.lang.Object

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

Constructor Detail

MultivariateRandomGenerator

public MultivariateRandomGenerator()

Method Detail

generate

public double[] generate(int n,
                MRGParams p)
                  throws ClassCastException,
                         IllegalArgumentException

Generates a n-dimensional random array.

Parameters:

n - the dimension of the random array

p - the parameter of the underlying distribution

Returns:

a n-dimensional random array

Throws:

ClassCastException - if the object p could not be parsed to the correct subclass

IllegalArgumentException - if an argument is not correct

See Also:

generate(double[], int, int, MRGParams)

generate

public abstract void generate(double[] d,
            int start,
            int n,
            MRGParams p)
                       throws ClassCastException,
                              IllegalArgumentException

Generates a n-dimensional random array as part of the array d beginning at start.

Parameters:

d - the array

start - the start index for generated values

n - the dimension of the random array

p - the parameter of the underlying distribution

Throws:

ClassCastException - if the object p could not be parsed to the correct subclass

IllegalArgumentException - if an argument is not correct