ns3::NormalVariable Class Reference
[Random Variable Distributions]

Class NormalVariable defines a random variable with a normal (Gaussian) distribution.This class supports the creation of objects that return random numbers from a fixed normal distribution. It also supports the generation of single random numbers from various normal distributions. More...

#include <random-variable.h>

Inheritance diagram for ns3::NormalVariable:

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Collaboration diagram for ns3::NormalVariable:

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List of all members.

Public Member Functions
	NormalVariable ()
	NormalVariable (double m, double v)
	Construct a normal random variable with specified mean and variance.
	NormalVariable (double m, double v, double b)
	Construct a normal random variable with specified mean and variance.

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Detailed Description

Class NormalVariable defines a random variable with a normal (Gaussian) distribution.

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

The density probability function is defined over the interval (-inf,+inf) as: where and

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Constructor & Destructor Documentation

ns3::NormalVariable::NormalVariable

(

)

Constructs an normal random variable with a mean value of 0 and variance of 1.

ns3::NormalVariable::NormalVariable	(	double	m,
		double	v
	)

Construct a normal random variable with specified mean and variance.

Parameters:

	m	Mean value
	v	Variance

ns3::NormalVariable::NormalVariable	(	double	m,
		double	v,
		double	b
	)

Construct a normal random variable with specified mean and variance.

Parameters:

	m	Mean value
	v	Variance
	b	Bound. The NormalVariable is bounded symmetrically about the mean [mean-bound,mean+bound]

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

• src/core/random-variable.h