ns3::RngStream Class Reference

Combined Multiple-Recursive Generator MRG32k3a. More...

#include "rng-stream.h"

Collaboration diagram for ns3::RngStream:

Public Member Functions
	RngStream (const RngStream &r)
	Copy constructor. More...
	RngStream (uint32_t seed, uint64_t stream, uint64_t substream)
	Construct from explicit seed, stream and substream values. More...
double	RandU01 ()
	Generate the next random number for this stream. More...

Private Member Functions
void	AdvanceNthBy (uint64_t nth, int by, double state[6])
	Advance state of the RNG by leaps and bounds. More...

Private Attributes
double	m_currentState [6]
	The RNG state vector. More...

Detailed Description

Combined Multiple-Recursive Generator MRG32k3a.

This class is the combined multiple-recursive random number generator called MRG32k3a. The ns3::RandomVariableBase class holds a static instance of this class. The details of this class are explained in: http://www.iro.umontreal.ca/~lecuyer/myftp/papers/streams00.pdf

Definition at line 49 of file rng-stream.h.

Constructor & Destructor Documentation

RngStream() [1/2]

ns3::RngStream::RngStream	(	uint32_t	seed,
		uint64_t	stream,
		uint64_t	substream
	)

Construct from explicit seed, stream and substream values.

Parameters

[in]	seed	The starting seed.
[in]	stream	The stream number.
[in]	substream	The sub-stream number.

Definition at line 378 of file rng-stream.cc.

References MRG32k3a::m1, MRG32k3a::m2, and NS_FATAL_ERROR.

RngStream() [2/2]

ns3::RngStream::RngStream

(

const RngStream &

r

)

Copy constructor.

Parameters

[in]

r

The RngStream to copy.

Definition at line 392 of file rng-stream.cc.

References m_currentState.

Member Function Documentation

AdvanceNthBy()

void ns3::RngStream::AdvanceNthBy ( uint64_t  nth, int  by, double  state[6]  )

private

Advance state of the RNG by leaps and bounds.

Parameters

[in]	nth	The stream or substream index.
[in]	by	The log2 base of nth.
[in]	state	The state vector to advance.

Definition at line 401 of file rng-stream.cc.

References MRG32k3a::m1, MRG32k3a::m2, MRG32k3a::MatVecModM(), and MRG32k3a::PowerOfTwoMatrix().

Here is the call graph for this function:

RandU01()

double ns3::RngStream::RandU01

(

)

Generate the next random number for this stream.

Uniformly distributed between 0 and 1.

Returns

The next random.

Definition at line 341 of file rng-stream.cc.

References MRG32k3a::a12, MRG32k3a::a13n, MRG32k3a::a21, MRG32k3a::a23n, two-ray-to-three-gpp-ch-calibration::k, MRG32k3a::m1, MRG32k3a::m2, and MRG32k3a::norm.

Referenced by ns3::ErlangRandomVariable::GetExponentialValue(), ns3::GammaRandomVariable::GetNormalValue(), ns3::GammaRandomVariable::GetValue(), ns3::ExponentialRandomVariable::GetValue(), ns3::TriangularRandomVariable::GetValue(), ns3::NormalRandomVariable::GetValue(), ns3::UniformRandomVariable::GetValue(), ns3::LogNormalRandomVariable::GetValue(), ns3::BernoulliRandomVariable::GetValue(), ns3::ParetoRandomVariable::GetValue(), ns3::WeibullRandomVariable::GetValue(), ns3::ZipfRandomVariable::GetValue(), ns3::BinomialRandomVariable::GetValue(), and ns3::EmpiricalRandomVariable::PreSample().

Here is the caller graph for this function:

Member Data Documentation

m_currentState

double ns3::RngStream::m_currentState[6]

private

The RNG state vector.

Definition at line 85 of file rng-stream.h.

Referenced by RngStream().

---

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

• src/core/model/rng-stream.h
• src/core/model/rng-stream.cc