This class implements random variate generators having the Poisson distribution (see PoissonGen ). More...

Inheritance diagram for umontreal.ssj.randvar.PoissonTIACGen:

Public Member Functions
	PoissonTIACGen (RandomStream s, double lambda)
	Creates a Poisson random variate generator with parameter.
	PoissonTIACGen (RandomStream s, PoissonDist dist)
	Creates a new random variate generator using the Poisson distribution dist and stream s.
int	nextInt ()
	Generates a random number (an integer) from the discrete distribution contained in this object.
Public Member Functions inherited from umontreal.ssj.randvar.PoissonGen
	PoissonGen (RandomStream s, double lambda)
	Creates a Poisson random variate generator with parameter.
	PoissonGen (RandomStream s, PoissonDist dist)
	Creates a new random variate generator using the Poisson distribution dist and stream s.
double	getLambda ()
	Returns the \(\lambda\) associated with this object.
Public Member Functions inherited from umontreal.ssj.randvar.RandomVariateGenInt
	RandomVariateGenInt (RandomStream s, DiscreteDistributionInt dist)
	Creates a new random variate generator for the discrete distribution dist, using stream s.
void	nextArrayOfInt (int[] v, int start, int n)
	Generates n random numbers from the discrete distribution contained in this object.
int[]	nextArrayOfInt (int n)
	Generates n random numbers from the discrete distribution contained in this object, and returns them in a new array of size n.
DiscreteDistributionInt	getDistribution ()
	Returns the umontreal.ssj.probdist.DiscreteDistributionInt used by this generator.
Public Member Functions inherited from umontreal.ssj.randvar.RandomVariateGen
	RandomVariateGen (RandomStream s, Distribution dist)
	Creates a new random variate generator from the distribution dist, using stream s.
double	nextDouble ()
	Generates a random number from the continuous distribution contained in this object.
void	nextArrayOfDouble (double[] v, int start, int n)
	Generates n random numbers from the continuous distribution contained in this object.
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.
RandomStream	getStream ()
	Returns the umontreal.ssj.rng.RandomStream used by this generator.
void	setStream (RandomStream stream)
	Sets the umontreal.ssj.rng.RandomStream used by this generator to stream.
String	toString ()
	Returns a String containing information about the current generator.

Static Public Member Functions
static int	nextInt (RandomStream s, double lambda)
	A static method for generating a random variate from a Poisson distribution with parameter \(\lambda\) = lambda.

Additional Inherited Members
Protected Member Functions inherited from umontreal.ssj.randvar.PoissonGen
void	setParams (double lam)
	Sets the parameter \(\lambda= \) lam of this object.

Detailed Description

This class implements random variate generators having the Poisson distribution (see PoissonGen ).

Uses the tabulated inversion combined with the acceptance complement (TIAC) method of

[3] . The implementation is adapted from UNURAN [162] .

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Definition at line 44 of file PoissonTIACGen.java.

Constructor & Destructor Documentation

◆ PoissonTIACGen() [1/2]

umontreal.ssj.randvar.PoissonTIACGen.PoissonTIACGen	(	RandomStream	s,
		double	lambda )

Creates a Poisson random variate generator with parameter.

\(\lambda= \) lambda, using stream s.

Definition at line 57 of file PoissonTIACGen.java.

◆ PoissonTIACGen() [2/2]

umontreal.ssj.randvar.PoissonTIACGen.PoissonTIACGen	(	RandomStream	s,
		PoissonDist	dist )

Creates a new random variate generator using the Poisson distribution dist and stream s.

Definition at line 66 of file PoissonTIACGen.java.

Member Function Documentation

◆ nextInt() [1/2]

int umontreal.ssj.randvar.PoissonTIACGen.nextInt ( )

Generates a random number (an integer) from the discrete distribution contained in this object.

By default, this method uses inversion by calling the inverseF method of the distribution object. Alternative generating methods are provided in subclasses.

Returns: the generated value

Reimplemented from umontreal.ssj.randvar.RandomVariateGenInt.

Definition at line 71 of file PoissonTIACGen.java.

◆ nextInt() [2/2]

int umontreal.ssj.randvar.PoissonTIACGen.nextInt	(	RandomStream	s,
		double	lambda )

static

A static method for generating a random variate from a Poisson distribution with parameter \(\lambda\) = lambda.

Reimplemented from umontreal.ssj.randvar.PoissonGen.

Definition at line 79 of file PoissonTIACGen.java.

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

src/main/java/umontreal/ssj/randvar/PoissonTIACGen.java

SSJ API Documentation Stochastic Simulation in Java

Public Member Functions

Static Public Member Functions