ns3::WeibullVariableImpl Class Reference

Inheritance diagram for ns3::WeibullVariableImpl:

Public Member Functions
	WeibullVariableImpl ()
	WeibullVariableImpl (double m)
	WeibullVariableImpl (double m, double s)
	WeibullVariableImpl (double m, double s, double b)
	Constructs a weibull random variable with the specified mean. More...
	WeibullVariableImpl (const WeibullVariableImpl &c)
virtual RandomVariableBase *	Copy (void) const
virtual double	GetValue ()
Public Member Functions inherited from ns3::RandomVariableBase
	RandomVariableBase (const RandomVariableBase &o)
virtual uint32_t	GetInteger ()
RngStream *	GetStream (void)

Private Attributes
double	m_alpha
double	m_bound
double	m_mean

Detailed Description

Definition at line 816 of file random-variable.cc.

Constructor & Destructor Documentation

ns3::WeibullVariableImpl::WeibullVariableImpl

(

)

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

Definition at line 868 of file random-variable.cc.

References NS_LOG_FUNCTION.

ns3::WeibullVariableImpl::WeibullVariableImpl

(

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 874 of file random-variable.cc.

References NS_LOG_FUNCTION.

ns3::WeibullVariableImpl::WeibullVariableImpl	(	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 881 of file random-variable.cc.

References NS_LOG_FUNCTION.

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

Constructs a weibull random variable with the specified mean.

value, shape (alpha), and upper bound. Since WeibullVariableImpl 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 888 of file random-variable.cc.

References NS_LOG_FUNCTION.

Member Function Documentation

double ns3::WeibullVariableImpl::GetValue ( void  )

virtual

Returns

A random value from this Weibull distribution

Implements ns3::RandomVariableBase.

Definition at line 904 of file random-variable.cc.

References NS_LOG_FUNCTION, and ns3::RngStream::RandU01().

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

• src/core/model/random-variable.cc