ns3::ExponentialVariable Class Reference
[Random Variable Distributions]

Exponentially Distributed random var

This class supports the creation of objects that return random numbers from a fixed exponential distribution. It also supports the generation of single random numbers from various exponential distributions. More...

#include <random-variable.h>

Inheritance diagram for ns3::ExponentialVariable:

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Collaboration diagram for ns3::ExponentialVariable:

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List of all members.

Public Member Functions
	ExponentialVariable ()
	ExponentialVariable (double m)
	Constructs an exponential random variable with a specified mean.
	ExponentialVariable (double m, double b)
	Constructs an exponential random variable with spefified.

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Detailed Description

Exponentially Distributed random var

This class supports the creation of objects that return random numbers from a fixed exponential distribution. It also supports the generation of single random numbers from various exponential distributions.

The probability density function of an exponential variable is defined over the interval [0, +inf) as: where

The bounded version is defined over the internal [0,+inf) as:

 ExponentialVariable x(3.14);
 x.GetValue();  //will always return with mean 3.14
 ExponentialVariable::GetSingleValue(20.1); //returns with mean 20.1
 ExponentialVariable::GetSingleValue(108); //returns with mean 108

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Constructor & Destructor Documentation

ns3::ExponentialVariable::ExponentialVariable

(

)

Constructs an exponential random variable with a mean value of 1.0.

ns3::ExponentialVariable::ExponentialVariable

(

double

m

)

[explicit]

Constructs an exponential random variable with a specified mean.

Parameters:

m

Mean value for the random variable

ns3::ExponentialVariable::ExponentialVariable	(	double	m,
		double	b
	)

Constructs an exponential random variable with spefified.

mean and upper limit. Since exponential distributions can theoretically return unbounded values, it is sometimes useful to specify a fixed upper limit. Note however when the upper limit is specified, the true mean of the distribution is slightly smaller than the mean value specified.

Parameters:

	m	Mean value of the random variable
	b	Upper bound on returned values

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

• src/core/random-variable.h