ns3::NormalVariableImpl Class Reference

Inheritance diagram for ns3::NormalVariableImpl:

Public Member Functions
	NormalVariableImpl ()
	NormalVariableImpl (double m, double v, double b=INFINITE_VALUE)
	Construct a normal random variable with specified mean and variance. More...
	NormalVariableImpl (const NormalVariableImpl &c)
virtual RandomVariableBase *	Copy (void) const
double	GetBound (void) const
double	GetMean (void) const
virtual double	GetValue ()
double	GetVariance (void) const
Public Member Functions inherited from ns3::RandomVariableBase
	RandomVariableBase (const RandomVariableBase &o)
virtual uint32_t	GetInteger ()
RngStream *	GetStream (void)

Static Public Attributes
static const double	INFINITE_VALUE = 1e307

Private Attributes
double	m_bound
double	m_mean
double	m_next
bool	m_nextValid
double	m_variance

Detailed Description

Definition at line 951 of file random-variable.cc.

Constructor & Destructor Documentation

ns3::NormalVariableImpl::NormalVariableImpl

(

)

Constructs an normal random variable with a mean value of 0 and variance of 1.

Definition at line 992 of file random-variable.cc.

References NS_LOG_FUNCTION.

ns3::NormalVariableImpl::NormalVariableImpl	(	double	m,
		double	v,
		double	b = INFINITE_VALUE
	)

Construct a normal random variable with specified mean and variance.

Parameters

m	Mean value
v	Variance
b	Bound. The NormalVariableImpl is bounded within +-bound of the mean.

Definition at line 1001 of file random-variable.cc.

References NS_LOG_FUNCTION.

Member Function Documentation

double ns3::NormalVariableImpl::GetValue ( void  )

virtual

Returns

A value from this normal distribution

Implements ns3::RandomVariableBase.

Definition at line 1020 of file random-variable.cc.

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

---

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

• src/core/model/random-variable.cc