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
- 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++).
- See Also:
- Serialized Form
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. |
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".
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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