Implements Pascal random variate generators by the convolution method (see [114] ). More...

Inheritance diagram for umontreal.ssj.randvar.PascalConvolutionGen:

Public Member Functions
	PascalConvolutionGen (RandomStream s, int n, double p)
	Creates a Pascal random variate generator with parameters \(n\) and \(p\), using stream s.
	PascalConvolutionGen (RandomStream s, PascalDist dist)
	Creates a new generator for the distribution dist, using 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.PascalGen
	PascalGen (RandomStream s, int n, double p)
	Creates a Pascal random variate generator with parameters \(n\) and \(p\), using stream s.
	PascalGen (RandomStream s, PascalDist dist)
	Creates a new generator for the distribution dist, using stream s.
int	getN ()
	Returns the parameter \(n\) of this object.
double	getP ()
	Returns the parameter \(p\) of 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, int n, double p)
	Generates a new variate from the Pascal distribution, with parameters.

Additional Inherited Members
Protected Member Functions inherited from umontreal.ssj.randvar.PascalGen
void	setParams (int n, double p)
	Sets the parameter \(n\) and \(p\) of this object.

Detailed Description

Implements Pascal random variate generators by the convolution method (see [114] ).

The method generates \(n\) geometric variates with probability \(p\) and adds them up.

The algorithm is slow if \(n\) is large.

Definition at line 41 of file PascalConvolutionGen.java.

Constructor & Destructor Documentation

◆ PascalConvolutionGen() [1/2]

umontreal.ssj.randvar.PascalConvolutionGen.PascalConvolutionGen	(	RandomStream	s,
		int	n,
		double	p )

Creates a Pascal random variate generator with parameters \(n\) and \(p\), using stream s.

Definition at line 47 of file PascalConvolutionGen.java.

◆ PascalConvolutionGen() [2/2]

umontreal.ssj.randvar.PascalConvolutionGen.PascalConvolutionGen	(	RandomStream	s,
		PascalDist	dist )

Creates a new generator for the distribution dist, using stream s.

Definition at line 55 of file PascalConvolutionGen.java.

Member Function Documentation

◆ nextInt() [1/2]

int umontreal.ssj.randvar.PascalConvolutionGen.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 59 of file PascalConvolutionGen.java.

◆ nextInt() [2/2]

int umontreal.ssj.randvar.PascalConvolutionGen.nextInt	(	RandomStream	s,
		int	n,
		double	p )

static

Generates a new variate from the Pascal distribution, with parameters.

\(n = \) n and \(p = \) p, using the stream s.

Reimplemented from umontreal.ssj.randvar.PascalGen.

Definition at line 72 of file PascalConvolutionGen.java.

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

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

SSJ API Documentation Stochastic Simulation in Java

Public Member Functions

Static Public Member Functions