SSJ API Documentation
Stochastic Simulation in Java
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umontreal.ssj.randvar.BernoulliGen Class Reference

This class implements random variate generators for the Bernoulli distribution (see class umontreal.ssj.probdist.BernoulliDist ). More...

Inheritance diagram for umontreal.ssj.randvar.BernoulliGen:
umontreal.ssj.randvar.RandomVariateGenInt umontreal.ssj.randvar.RandomVariateGen

Public Member Functions

 BernoulliGen (RandomStream s, double p)
 Creates a Bernoulli random variate generator with parameter \(p\), using stream s.
 BernoulliGen (RandomStream s, BernoulliDist dist)
 Creates a random variate generator for the Bernoulli distribution dist and the random stream s.
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.
int nextInt ()
 Generates a random number (an integer) from the discrete distribution contained in this object.
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 p)
 Generates a new integer from the Bernoulli distribution with parameter \(p = \) p, using the given stream s.

Protected Member Functions

void setParams (double p)
 Sets the parameter \(p\) of this object.

Detailed Description

This class implements random variate generators for the Bernoulli distribution (see class umontreal.ssj.probdist.BernoulliDist ).

Definition at line 38 of file BernoulliGen.java.

Constructor & Destructor Documentation

◆ BernoulliGen() [1/2]

umontreal.ssj.randvar.BernoulliGen.BernoulliGen ( RandomStream s,
double p )

Creates a Bernoulli random variate generator with parameter \(p\), using stream s.

Definition at line 45 of file BernoulliGen.java.

◆ BernoulliGen() [2/2]

umontreal.ssj.randvar.BernoulliGen.BernoulliGen ( RandomStream s,
BernoulliDist dist )

Creates a random variate generator for the Bernoulli distribution dist and the random stream s.

Definition at line 54 of file BernoulliGen.java.

Member Function Documentation

◆ getP()

double umontreal.ssj.randvar.BernoulliGen.getP ( )

Returns the parameter \(p\) of this object.

Definition at line 71 of file BernoulliGen.java.

◆ nextInt()

int umontreal.ssj.randvar.BernoulliGen.nextInt ( RandomStream s,
double p )
static

Generates a new integer from the Bernoulli distribution with parameter \(p = \) p, using the given stream s.

Definition at line 64 of file BernoulliGen.java.

◆ setParams()

void umontreal.ssj.randvar.BernoulliGen.setParams ( double p)
protected

Sets the parameter \(p\) of this object.

Definition at line 78 of file BernoulliGen.java.


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