cern.jet.random
Class BreitWignerMeanSquare

java.lang.Object
  |
  +--cern.colt.PersistentObject
        |
        +--cern.jet.random.AbstractDistribution
              |
              +--cern.jet.random.AbstractContinousDistribution
                    |
                    +--cern.jet.random.BreitWigner
                          |
                          +--cern.jet.random.BreitWignerMeanSquare

All Implemented Interfaces:

java.lang.Cloneable, cern.colt.function.DoubleFunction, cern.colt.function.IntFunction, java.io.Serializable

public class BreitWignerMeanSquare

extends BreitWigner

Mean-square BreitWigner distribution; See the math definition.

Instance methods operate on a user supplied uniform random number generator; they are unsynchronized.

Static methods operate on a default uniform random number generator; they are synchronized.

Implementation: This is a port of RandBreitWigner used in CLHEP 1.4.0 (C++).

See Also:

Serialized Form

Field Summary

protected static BreitWigner	shared
protected Uniform	uniform

Fields inherited from class cern.jet.random.BreitWigner

cut, gamma, mean

Fields inherited from class cern.jet.random.AbstractDistribution

randomGenerator

Constructor Summary

BreitWignerMeanSquare(double mean, double gamma, double cut, RandomElement randomGenerator)
Constructs a mean-squared BreitWigner distribution.

Method Summary

java.lang.Object	clone() Returns a deep copy of the receiver; the copy will produce identical sequences.
double	nextDouble(double mean, double gamma, double cut) Returns a mean-squared random number from the distribution; bypasses the internal state.
static double	staticNextDouble(double mean, double gamma, double cut) Returns a random number from the distribution.

Methods inherited from class cern.jet.random.BreitWigner

nextDouble, setState, toString

Methods inherited from class cern.jet.random.AbstractDistribution

apply, apply, getRandomGenerator, makeDefaultGenerator, nextInt, setRandomGenerator

Methods inherited from class java.lang.Object

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

Field Detail

uniform

protected Uniform uniform

shared

protected static BreitWigner shared

Constructor Detail

BreitWignerMeanSquare

public BreitWignerMeanSquare(double mean,
                             double gamma,
                             double cut,
                             RandomElement randomGenerator)

Constructs a mean-squared BreitWigner distribution.

Parameters:

cut - cut==Double.NEGATIVE_INFINITY indicates "don't cut".

Method Detail

clone

public java.lang.Object clone()

Returns a deep copy of the receiver; the copy will produce identical sequences. After this call has returned, the copy and the receiver have equal but separate state.

Overrides:

clone in class AbstractDistribution

Returns:

a copy of the receiver.

nextDouble

public double nextDouble(double mean,
                         double gamma,
                         double cut)

Returns a mean-squared random number from the distribution; bypasses the internal state.

Overrides:

nextDouble in class BreitWigner

Parameters:

cut - cut==Double.NEGATIVE_INFINITY indicates "don't cut".

staticNextDouble

public static double staticNextDouble(double mean,
                                      double gamma,
                                      double cut)

Returns a random number from the distribution.

Parameters:

cut - cut==Double.NEGATIVE_INFINITY indicates "don't cut".