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

#include <random-variable.h>

Inheritance diagram for ns3::NormalVariable:

Collaboration diagram for ns3::NormalVariable:

Public Member Functions
	NormalVariable ()
	Constructs an normal random variable with a mean value of 0 and variance of 1. More...

	NormalVariable (double m, double v)
	Construct a normal random variable with specified mean and variance. More...

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

Public Member Functions inherited from ns3::RandomVariable
	RandomVariable ()

	RandomVariable (const RandomVariable &o)

	~RandomVariable ()

uint32_t	GetInteger (void) const
	Returns a random integer integer from the underlying distribution. More...

double	GetValue (void) const
	Returns a random double from the underlying distribution. More...

RandomVariable &	operator= (const RandomVariable &o)

Additional Inherited Members
Protected Member Functions inherited from ns3::RandomVariable
	RandomVariable (const RandomVariableBase &variable)

RandomVariableBase *	Peek (void) const

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: $\frac{1}{\sigma\sqrt{2\pi}} e^{-\frac{(x-\mu)^2}{s\sigma^2}}$ where $mean = \mu$ and $variance = \sigma^2$