SSJ  3.3.1
Stochastic Simulation in Java
Public Member Functions | Static Public Member Functions | List of all members
ErlangConvolutionGen Class Reference

This class implements Erlang random variate generators using the convolution method. More...

Inheritance diagram for ErlangConvolutionGen:
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Collaboration diagram for ErlangConvolutionGen:
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Public Member Functions

 ErlangConvolutionGen (RandomStream s, int k, double lambda)
 Creates an Erlang random variate generator with parameters k and \(\lambda\) = lambda, using stream s.
 
 ErlangConvolutionGen (RandomStream s, int k)
 Creates an Erlang random variate generator with parameters k and \(\lambda= 1\), using stream s.
 
 ErlangConvolutionGen (RandomStream s, ErlangDist dist)
 Creates a new generator for the distribution dist and stream s.
 
double nextDouble ()
 
- Public Member Functions inherited from ErlangGen
 ErlangGen (RandomStream s, int k, double lambda)
 Creates an Erlang random variate generator with parameters k and \(\lambda\) = lambda, using stream s.
 
 ErlangGen (RandomStream s, int k)
 Creates an Erlang random variate generator with parameters k and \(\lambda= 1\), using stream s.
 
 ErlangGen (RandomStream s, ErlangDist dist)
 Creates a new generator for the distribution dist and stream s.
 
int getK ()
 Returns the parameter \(k\) of this object.
 
- Public Member Functions inherited from GammaGen
 GammaGen (RandomStream s, double alpha, double lambda)
 Creates a gamma random variate generator with parameters \(\alpha=\) alpha and \(\lambda\) = lambda, using stream s.
 
 GammaGen (RandomStream s, double alpha)
 Creates a gamma random variate generator with parameters \(\alpha=\) alpha and \(\lambda= 1\), using stream s.
 
 GammaGen (RandomStream s, GammaDist dist)
 Creates a new generator object for the gamma distribution dist and stream s.
 
double getAlpha ()
 Returns the parameter \(\alpha\) of this object.
 
double getLambda ()
 Returns the parameter \(\lambda\) of this object.
 
- Public Member Functions inherited from RandomVariateGen
 RandomVariateGen (RandomStream s, Distribution dist)
 Creates a new random variate generator from the distribution dist, using stream s. More...
 
double nextDouble ()
 Generates a random number from the continuous distribution contained in this object. More...
 
void nextArrayOfDouble (double[] v, int start, int n)
 Generates n random numbers from the continuous distribution contained in this object. More...
 
double [] nextArrayOfDouble (int n)
 Generates n random numbers from the continuous distribution contained in this object, and returns them in a new array of size n. More...
 
RandomStream getStream ()
 Returns the umontreal.ssj.rng.RandomStream used by this generator. More...
 
void setStream (RandomStream stream)
 Sets the umontreal.ssj.rng.RandomStream used by this generator to stream.
 
Distribution getDistribution ()
 Returns the umontreal.ssj.probdist.Distribution used by this generator. More...
 
String toString ()
 Returns a String containing information about the current generator.
 

Static Public Member Functions

static double nextDouble (RandomStream s, int k, double lambda)
 
- Static Public Member Functions inherited from ErlangGen
static double nextDouble (RandomStream s, int k, double lambda)
 Generates a new variate from the Erlang distribution with parameters \(k = \) k and \(\lambda= \) lambda, using stream s.
 
- Static Public Member Functions inherited from GammaGen
static double nextDouble (RandomStream s, double alpha, double lambda)
 Generates a new gamma random variate with parameters \(\alpha= \) alpha and \(\lambda= \) lambda, using stream s.
 

Additional Inherited Members

- Protected Member Functions inherited from ErlangGen
void setParams (int k, double lambda)
 Sets the parameter \(k\) and \(\lambda\) of this object.
 
- Protected Member Functions inherited from GammaGen
void setParams (double alpha, double lambda)
 Sets the parameter \(\alpha\) and \(\lambda\) of this object.
 
- Protected Attributes inherited from ErlangGen
int k = -1
 
- Protected Attributes inherited from GammaGen
double alpha = -1.0
 
double lambda = -1.0
 
- Protected Attributes inherited from RandomVariateGen
RandomStream stream
 
Distribution dist
 

Detailed Description

This class implements Erlang random variate generators using the convolution method.

This method uses inversion to generate \(k\) exponential variates with parameter \(\lambda\) and returns their sum.


The documentation for this class was generated from the following file: