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## 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:
  Cloneable, DoubleFunction, IntFunction, 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++).

Version:
  1.0, 09/24/99
See Also:
  Serialized Form

Field Summary

Fields inherited from class cern.colt.PersistentObject
`serialVersionUID`

Constructor Summary
`BreitWignerMeanSquare(double mean, double gamma, double cut, RandomEngine randomGenerator)` Constructs a mean-squared BreitWigner distribution.

Method Summary
`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, makeDefaultGenerator, nextInt`

Methods inherited from class java.lang.Object
`equals, getClass, hashCode, notify, notifyAll, wait, wait, wait`

Constructor Detail

### BreitWignerMeanSquare

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

  Constructs a mean-squared BreitWigner distribution.

Parameters:
  `cut` - cut==Double.NEGATIVE_INFINITY indicates "don't cut".

Method Detail

### clone

    public 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".

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