WeibullVariable distributed random varThis class supports the creation of objects that return random numbers from a fixed weibull distribution. More...

#include <random-variable.h>

Inheritance diagram for ns3::WeibullVariable:

Collaboration diagram for ns3::WeibullVariable:

Public Member Functions
	WeibullVariable ()
	Constructs a weibull random variable with a mean value of 1.0 and a shape (alpha) parameter of 1. More...

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

	WeibullVariable (double m, double s)
	Constructs a weibull random variable with the specified mean value and a shape (alpha). More...

	WeibullVariable (double m, double s, double b)
	Constructs a weibull random variable with the specified mean. 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

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.

Definition at line 370 of file random-variable.h.

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.

Definition at line 934 of file random-variable.cc.

References NS_LOG_FUNCTION.

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

Definition at line 939 of file random-variable.cc.

References NS_LOG_FUNCTION.

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.

Definition at line 944 of file random-variable.cc.

References NS_LOG_FUNCTION.

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

Definition at line 949 of file random-variable.cc.

References NS_LOG_FUNCTION.

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

src/core/model/random-variable.h
src/core/model/random-variable.cc

Public Member Functions

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation