cern.jet.random
Class BreitWignerMeanSquare
- java.lang.Object
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- cern.colt.PersistentObject
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- cern.jet.random.AbstractDistribution
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- cern.jet.random.AbstractContinousDistribution
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- cern.jet.random.BreitWigner
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- cern.jet.random.BreitWignerMeanSquare
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- All Implemented Interfaces:
- DoubleFunction, IntFunction, java.io.Serializable, java.lang.Cloneable
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
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Field Summary
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Fields inherited from class cern.colt.PersistentObject
serialVersionUID
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Constructor Summary
Constructors Constructor and Description BreitWignerMeanSquare(double mean, double gamma, double cut, RandomEngine randomGenerator)Constructs a mean-squared BreitWigner distribution.
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method and Description java.lang.Objectclone()Returns a deep copy of the receiver; the copy will produce identical sequences.doublenextDouble(double mean, double gamma, double cut)Returns a mean-squared random number from the distribution; bypasses the internal state.static doublestaticNextDouble(double mean, double gamma, double cut)Returns a random number from the distribution.-
Methods inherited from class cern.jet.random.BreitWigner
nextDouble, setState, toString
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Methods inherited from class cern.jet.random.AbstractDistribution
apply, apply, makeDefaultGenerator, nextInt
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Constructor Detail
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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".
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Method Detail
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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:
clonein classAbstractDistribution- Returns:
- a copy of the receiver.
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nextDouble
public double nextDouble(double mean, double gamma, double cut)Returns a mean-squared random number from the distribution; bypasses the internal state.- Overrides:
nextDoublein classBreitWigner- Parameters:
cut- cut==Double.NEGATIVE_INFINITY indicates "don't cut".
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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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