Inheritance diagram for ns3::ExponentialVariableImpl:

Collaboration diagram for ns3::ExponentialVariableImpl:

Public Member Functions
	ExponentialVariableImpl ()
	Constructs an exponential random variable with a mean value of 1.0. More...

	ExponentialVariableImpl (double m)
	Constructs an exponential random variable with a specified mean. More...

	ExponentialVariableImpl (double m, double b)
	Constructs an exponential random variable with specified mean and upper limit. More...

	ExponentialVariableImpl (const ExponentialVariableImpl &c)

virtual RandomVariableBase *	Copy (void) 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_mean

Detailed Description

Definition at line 522 of file random-variable.cc.

Constructor & Destructor Documentation

ns3::ExponentialVariableImpl::ExponentialVariableImpl ( )

Constructs an exponential random variable with a mean value of 1.0.

Definition at line 564 of file random-variable.cc.

References NS_LOG_FUNCTION.

Referenced by Copy().

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ns3::ExponentialVariableImpl::ExponentialVariableImpl ( double m )

explicit

Constructs an exponential random variable with a specified mean.

Parameters

m	Mean value for the random variable

Definition at line 571 of file random-variable.cc.

References NS_LOG_FUNCTION.

ns3::ExponentialVariableImpl::ExponentialVariableImpl	(	double	m,
		double	b
	)

Constructs an exponential random variable with specified mean and upper limit.

Since exponential 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: $m - b/(e^{b/m}-1)$ .