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

This class implements random variate generators for the exponential distribution. More...

Inheritance diagram for umontreal.ssj.randvar.ExponentialGen:
umontreal.ssj.randvar.RandomVariateGen umontreal.ssj.randvar.ExponentialInverseFromDensityGen

Public Member Functions

 ExponentialGen (RandomStream s, double lambda)
 Creates an exponential random variate generator with parameter.
 ExponentialGen (RandomStream s, ExponentialDist dist)
 Creates a new generator for the exponential distribution dist and stream s.
double getLambda ()
 Returns the \(\lambda\) associated with this object.
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.
Distribution getDistribution ()
 Returns the umontreal.ssj.probdist.Distribution used by this generator.
String toString ()
 Returns a String containing information about the current generator.

Static Public Member Functions

static double nextDouble (RandomStream s, double lambda)
 Uses inversion to generate a new exponential variate with parameter.

Protected Member Functions

void setParams (double lam)
 Sets the parameter \(\lambda= \) lam of this object.

Detailed Description

This class implements random variate generators for the exponential distribution.

The density is

\[ f(x) = \lambda e^{-\lambda x} \qquad\mbox{ for }x\ge0, \]

where \(\lambda> 0\).

The (non-static) nextDouble method simply calls inverseF on the distribution.

Definition at line 42 of file ExponentialGen.java.

Constructor & Destructor Documentation

◆ ExponentialGen() [1/2]

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

Creates an exponential random variate generator with parameter.

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

Definition at line 50 of file ExponentialGen.java.

◆ ExponentialGen() [2/2]

umontreal.ssj.randvar.ExponentialGen.ExponentialGen ( RandomStream s,
ExponentialDist dist )

Creates a new generator for the exponential distribution dist and stream s.

Definition at line 59 of file ExponentialGen.java.

Member Function Documentation

◆ getLambda()

double umontreal.ssj.randvar.ExponentialGen.getLambda ( )

Returns the \(\lambda\) associated with this object.

Definition at line 77 of file ExponentialGen.java.

◆ nextDouble()

double umontreal.ssj.randvar.ExponentialGen.nextDouble ( RandomStream s,
double lambda )
static

Uses inversion to generate a new exponential variate with parameter.

\(\lambda= \) lambda, using stream s.

Definition at line 70 of file ExponentialGen.java.

◆ setParams()

void umontreal.ssj.randvar.ExponentialGen.setParams ( double lam)
protected

Sets the parameter \(\lambda= \) lam of this object.

Definition at line 84 of file ExponentialGen.java.


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