Inheritance diagram for ns3::ParetoVariableImpl:

Collaboration diagram for ns3::ParetoVariableImpl:

Public Member Functions
	ParetoVariableImpl ()
	Constructs a pareto random variable with a mean of 1 and a shape parameter of 1.5. More...

	ParetoVariableImpl (double m)
	Constructs a pareto random variable with specified mean and shape parameter of 1.5. More...

	ParetoVariableImpl (double m, double s)
	Constructs a pareto random variable with the specified mean value and shape parameter. More...

	ParetoVariableImpl (double m, double s, double b)
	Constructs a pareto random variable with the specified mean value, shape (alpha), and upper bound. More...

	ParetoVariableImpl (std::pair< double, double > params)
	Constructs a pareto random variable with the specified scale and shape parameters. More...

	ParetoVariableImpl (std::pair< double, double > params, double b)
	Constructs a pareto random variable with the specified scale, shape (alpha), and upper bound. More...

	ParetoVariableImpl (const ParetoVariableImpl &c)

virtual RandomVariableBase *	Copy () const

virtual double	GetValue ()

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

	RandomVariableBase (const RandomVariableBase &o)

virtual	~RandomVariableBase ()

virtual uint32_t	GetInteger ()

RngStream *	GetStream (void)

Private Attributes
double	m_bound

double	m_scale

double	m_shape

Detailed Description

Definition at line 633 of file random-variable.cc.

Constructor & Destructor Documentation

ns3::ParetoVariableImpl::ParetoVariableImpl ( )

Constructs a pareto random variable with a mean of 1 and a shape parameter of 1.5.

Definition at line 709 of file random-variable.cc.

References NS_LOG_FUNCTION.

Referenced by Copy().

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ns3::ParetoVariableImpl::ParetoVariableImpl ( double m )

explicit

Constructs a pareto random variable with specified mean and shape parameter of 1.5.

Parameters

m	Mean value of the distribution

Definition at line 717 of file random-variable.cc.

References NS_LOG_FUNCTION.

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

Constructs a pareto random variable with the specified mean value and shape parameter.

Beware, s must be strictly greater than 1.

Parameters

m	Mean value of the distribution
s	Shape parameter for the distribution

Definition at line 725 of file random-variable.cc.

References NS_LOG_FUNCTION.

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

Constructs a pareto random variable with the specified mean value, shape (alpha), and upper bound.

Beware, s must be strictly greater than 1.

Since pareto distributions can theoretically return unbounded values, it is sometimes useful to specify a fixed upper limit. Note however when the upper limit is specified, the true mean of the distribution is slightly smaller than the mean value specified.

Parameters

m	Mean value
s	Shape parameter
b	Upper limit on returned values

Definition at line 733 of file random-variable.cc.

References NS_LOG_FUNCTION.

ns3::ParetoVariableImpl::ParetoVariableImpl ( std::pair< double, double > params )

Constructs a pareto random variable with the specified scale and shape parameters.

Parameters

params the two parameters, respectively scale and shape, of the distribution

Definition at line 741 of file random-variable.cc.

References NS_LOG_FUNCTION.

ns3::ParetoVariableImpl::ParetoVariableImpl	(	std::pair< double, double >	params,
		double	b
	)

Constructs a pareto random variable with the specified scale, shape (alpha), and upper bound.

Since pareto distributions can theoretically return unbounded values, it is sometimes useful to specify a fixed upper limit. Note however when the upper limit is specified, the true mean of the distribution is slightly smaller than the mean value specified.

Parameters