WeibullVariable distributed random varThis class supports the creation of objects that return random numbers from a fixed weibull distribution. It also supports the generation of single random numbers from various weibull distributions. More...

#include <random-variable.h>

Inheritance diagram for ns3::WeibullVariable:

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Collaboration diagram for ns3::WeibullVariable:

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List of all members.

Public Member Functions
	WeibullVariable ()
	WeibullVariable (double m)
	WeibullVariable (double m, double s)
	WeibullVariable (double m, double s, double b)
	Constructs a weibull random variable with the specified mean.
Static Public Member Functions
static double	GetSingleValue (double m, double s, double b=0)

Detailed Description

WeibullVariable distributed random var

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

The probability density function is defined over the interval [0, +inf] as: $\frac{k}{\lambda}\left(\frac{x}{\lambda}\right)^{k-1}e^{-\left(\frac{x}{\lambda}\right)^k}$ where $ k > 0$ is the shape parameter and $\lambda > 0$ is the scale parameter. The specified mean is related to the scale and shape parameters by the following relation: $mean = \lambda\Gamma\left(1+\frac{1}{k}\right)$ where $\Gamma$ is the Gamma function.

Constructor & Destructor Documentation

ns3::WeibullVariable::WeibullVariable ( )

Constructs a weibull random variable with a mean value of 1.0 and a shape (alpha) parameter of 1

ns3::WeibullVariable::WeibullVariable ( double m )

Constructs a weibull random variable with the specified mean value and a shape (alpha) parameter of 1.5.

Parameters:

m

mean value of the distribution

ns3::WeibullVariable::WeibullVariable	(	double	m,
		double	s
	)

Constructs a weibull random variable with the specified mean value and a shape (alpha).

Parameters:

	m	Mean value for the distribution.
	s	Shape (alpha) parameter for the distribution.

ns3::WeibullVariable::WeibullVariable	(	double	m,
		double	s,
		double	b
	)

Constructs a weibull random variable with the specified mean.

value, shape (alpha), and upper bound. Since WeibullVariable distributions can theoretically return unbounded values, it is sometimes usefull to specify a fixed upper limit. Note however that when the upper limit is specified, the true mean of the distribution is slightly smaller than the mean value specified.

Parameters:

	m	Mean value for the distribution.
	s	Shape (alpha) parameter for the distribution.
	b	Upper limit on returned values

Member Function Documentation

static double ns3::WeibullVariable::GetSingleValue	(	double	m,
		double	s,
		double	b = `0`
	)			`[static]`

Parameters:

	m	Mean value for the distribution.
	s	Shape (alpha) parameter for the distribution.
	b	Upper limit on returned values

Returns:: Random number from a distribution specified by m,s, and b

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

src/core/random-variable.h

ns3::WeibullVariable Class Reference [Random Variable Distributions]

Public Member Functions

Static Public Member Functions

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation

ns3::WeibullVariable Class Reference
[Random Variable Distributions]