cern.jet.random.tdouble
Class BreitWigner

java.lang.Object
  cern.colt.PersistentObject
      cern.jet.random.tdouble.AbstractDoubleDistribution
          cern.jet.random.tdouble.AbstractContinousDoubleDistribution
              cern.jet.random.tdouble.BreitWigner

All Implemented Interfaces:

DoubleFunction, IntFunction, Serializable, Cloneable

Direct Known Subclasses:

BreitWignerMeanSquare

public class BreitWigner
extends AbstractContinousDoubleDistribution

BreitWigner (aka Lorentz) distribution; See the math definition. A more general form of the Cauchy distribution.

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++).

Version:

1.0, 09/24/99

Author:

wolfgang.hoschek@cern.ch

See Also:

Serialized Form

Constructor Summary

BreitWigner(double mean, double gamma, double cut, DoubleRandomEngine randomGenerator)
Constructs a BreitWigner distribution.

Method Summary

double	nextDouble() Returns a random number from the distribution.
double	nextDouble(double mean, double gamma, double cut) Returns a random number from the distribution; bypasses the internal state.
void	setState(double mean, double gamma, double cut) Sets the mean, gamma and cut parameters.
static double	staticNextDouble(double mean, double gamma, double cut) Returns a random number from the distribution.
String	toString() Returns a String representation of the receiver.

Methods inherited from class cern.jet.random.tdouble.AbstractDoubleDistribution

apply, apply, clone, makeDefaultGenerator, nextInt

Methods inherited from class java.lang.Object

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

Constructor Detail

BreitWigner

public BreitWigner(double mean,
                   double gamma,
                   double cut,
                   DoubleRandomEngine randomGenerator)

Constructs a BreitWigner distribution.

Parameters:

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

Method Detail

nextDouble

public double nextDouble()

Returns a random number from the distribution.

Specified by:

nextDouble in class AbstractDoubleDistribution

nextDouble

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

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

Parameters:

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

setState

public void setState(double mean,
                     double gamma,
                     double cut)

Sets the mean, gamma and cut parameters.

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".

toString

public String toString()

Returns a String representation of the receiver.

Overrides:

toString in class Object