ns3::EmpiricalVariable Class Reference
[Random Variable Distributions]

EmpiricalVariable distribution random var

Defines a random variable that has a specified, empirical distribution. The distribution is specified by a series of calls to the CDF member function, specifying a value and the probability that the function value is less than the specified value. When values are requested, a uniform random variable is used to select a probabililty, and the return value is interpreted linerarly between the two appropriate points in the CDF. The method is known as inverse transform sampling: (http://en.wikipedia.org/wiki/Inverse_transform_sampling). More...

#include <random-variable.h>

Inheritance diagram for ns3::EmpiricalVariable:

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Collaboration diagram for ns3::EmpiricalVariable:

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List of all members.

Public Member Functions
	EmpiricalVariable ()
void	CDF (double v, double c)
	Specifies a point in the empirical distribution.

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Detailed Description

EmpiricalVariable distribution random var

Defines a random variable that has a specified, empirical distribution. The distribution is specified by a series of calls to the CDF member function, specifying a value and the probability that the function value is less than the specified value. When values are requested, a uniform random variable is used to select a probabililty, and the return value is interpreted linerarly between the two appropriate points in the CDF. The method is known as inverse transform sampling: (http://en.wikipedia.org/wiki/Inverse_transform_sampling).

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Constructor & Destructor Documentation

ns3::EmpiricalVariable::EmpiricalVariable

(

)

[explicit]

Constructor for the EmpiricalVariable random variables.

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Member Function Documentation

void ns3::EmpiricalVariable::CDF	(	double	v,
		double	c
	)

Specifies a point in the empirical distribution.

Parameters:

	v	The function value for this point
	c	Probability that the function is less than or equal to v

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

• src/core/random-variable.h