Description

Double precision (48 bits) version of Second generation of Ranlux generator with luxury level of 2 (It throws away 397 value for every 12 used) see here

Definition at line 408 of file GSLRndmEngines.h.

Inheritance diagram for ROOT::Math::GSLRngRanLuxD2:

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Collaboration diagram for ROOT::Math::GSLRngRanLuxD2:

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Public Types
typedef GSLRandomEngine	BaseType

Public Member Functions
	GSLRngRanLuxD2 ()

void	Initialize ()

unsigned long	IntRndm () const

unsigned long	MaxInt () const

unsigned long	MinInt () const

std::string	Name () const

double	operator() () const

void	RandomArray (double begin, double end) const

template<class Iterator >
void	RandomArray (Iterator begin, Iterator end) const

double	Rndm () const

unsigned long	RndmInt (unsigned long max) const

void	SetSeed (unsigned int seed) const

unsigned int	Size () const

void	Terminate ()

Random Distributions
Implemented using the GSL Random number Distributions
double	Gaussian (double sigma) const

double	GaussianZig (double sigma) const

double	GaussianRatio (double sigma) const

double	GaussianTail (double a, double sigma) const

void	Gaussian2D (double sigmaX, double sigmaY, double rho, double &x, double &y) const

double	Exponential (double mu) const

double	Cauchy (double a) const

double	Landau () const

double	Gamma (double a, double b) const

double	Beta (double a, double b) const

double	LogNormal (double zeta, double sigma) const

double	ChiSquare (double nu) const

double	FDist (double nu1, double nu2) const

double	tDist (double nu) const

double	Rayleigh (double sigma) const

double	Logistic (double a) const

double	Pareto (double a, double b) const

void	Dir2D (double &x, double &y) const

void	Dir3D (double &x, double &y, double &z) const

unsigned int	Poisson (double mu) const

unsigned int	Binomial (double p, unsigned int n) const

unsigned int	NegativeBinomial (double p, double n) const

std::vector< unsigned int >	Multinomial (unsigned int ntot, const std::vector< double > &p) const

GSLRngWrapper *	fRng

unsigned int	fCurTime

void	SetType (GSLRngWrapper *r)
	internal method used by the derived class to set the type of generators More...

GSLRngWrapper *	Engine ()
	internal method to return the engine Used by class like GSLMCIntegrator to set the engine More...

Member Typedef Documentation

◆ BaseType

typedef GSLRandomEngine ROOT::Math::GSLRngRanLuxD2::BaseType

Definition at line 410 of file GSLRndmEngines.h.

Constructor & Destructor Documentation

◆ GSLRngRanLuxD2()

ROOT::Math::GSLRngRanLuxD2::GSLRngRanLuxD2 ( )

Member Function Documentation

◆ Beta()

double ROOT::Math::GSLRandomEngine::Beta	(	double	a,
		double	b
	)		const

inherited

Beta distribution

◆ Binomial()

unsigned int ROOT::Math::GSLRandomEngine::Binomial	(	double	p,
		unsigned int	n
	)		const

inherited

Binomial distribution

◆ Cauchy()

double ROOT::Math::GSLRandomEngine::Cauchy ( double a ) const

inherited

Cauchy distribution

◆ ChiSquare()

double ROOT::Math::GSLRandomEngine::ChiSquare ( double nu ) const

inherited

Chi square distribution

◆ Dir2D()

void ROOT::Math::GSLRandomEngine::Dir2D	(	double &	x,
		double &	y
	)		const

inherited

generate random numbers in a 2D circle of radious 1

◆ Dir3D()

void ROOT::Math::GSLRandomEngine::Dir3D	(	double &	x,
		double &	y,
		double &	z
	)		const

inherited

generate random numbers in a 3D sphere of radious 1

◆ Engine()

GSLRngWrapper* ROOT::Math::GSLRandomEngine::Engine ( )

inlineprotectedinherited

internal method to return the engine Used by class like GSLMCIntegrator to set the engine

Definition at line 315 of file GSLRndmEngines.h.

                                {
          return fRng; 
       }

References ROOT::Math::GSLRandomEngine::fRng.

◆ Exponential()

double ROOT::Math::GSLRandomEngine::Exponential ( double mu ) const

inherited

Exponential distribution

◆ FDist()

double ROOT::Math::GSLRandomEngine::FDist	(	double	nu1,
		double	nu2
	)		const

inherited

F distrbution

◆ Gamma()

double ROOT::Math::GSLRandomEngine::Gamma	(	double	a,
		double	b
	)		const

inherited

Gamma distribution

◆ Gaussian()

double ROOT::Math::GSLRandomEngine::Gaussian ( double sigma ) const

inherited

Gaussian distribution - default method is Box-Muller (polar method)

◆ Gaussian2D()

void ROOT::Math::GSLRandomEngine::Gaussian2D	(	double	sigmaX,
		double	sigmaY,
		double	rho,
		double &	x,
		double &	y
	)		const

inherited

Bivariate Gaussian distribution with correlation

◆ GaussianRatio()

double ROOT::Math::GSLRandomEngine::GaussianRatio ( double sigma ) const

inherited

Gaussian distribution - Ratio method

◆ GaussianTail()

double ROOT::Math::GSLRandomEngine::GaussianTail	(	double	a,
		double	sigma
	)		const

inherited

Gaussian Tail distribution

◆ GaussianZig()

double ROOT::Math::GSLRandomEngine::GaussianZig ( double sigma ) const

inherited

Gaussian distribution - Ziggurat method

◆ Initialize()

void ROOT::Math::GSLRandomEngine::Initialize ( )

inherited

initialize the generator If no rng is present the default one based on Mersenne and Twister is created

◆ IntRndm()

unsigned long ROOT::Math::GSLRandomEngine::IntRndm ( ) const

inlineinherited

Generate an integer number between [0,max_generator-1] (including 0 and max-1) if max is larger than available range of algorithm an error message is printed and zero is returned

Definition at line 133 of file GSLRndmEngines.h.

                                     {
          return RndmInt(MaxInt());   // max return the largest value the generator can give +1
       }

References ROOT::Math::GSLRandomEngine::MaxInt(), and ROOT::Math::GSLRandomEngine::RndmInt().

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◆ Landau()

double ROOT::Math::GSLRandomEngine::Landau ( ) const

inherited

Landau distribution

◆ Logistic()

double ROOT::Math::GSLRandomEngine::Logistic ( double a ) const

inherited

Logistic distribution

◆ LogNormal()

double ROOT::Math::GSLRandomEngine::LogNormal	(	double	zeta,
		double	sigma
	)		const

inherited

Log Normal distribution

◆ MaxInt()

unsigned long ROOT::Math::GSLRandomEngine::MaxInt ( ) const

inherited

return the maximum integer +1 a generator can handle

Referenced by ROOT::Math::GSLRandomEngine::IntRndm().

◆ MinInt()

unsigned long ROOT::Math::GSLRandomEngine::MinInt ( ) const

inherited

return the minimum integer a generator can handle typically this value is 0

◆ Multinomial()

std::vector<unsigned int> ROOT::Math::GSLRandomEngine::Multinomial	(	unsigned int	ntot,
		const std::vector< double > &	p
	)		const

inherited

Multinomial distribution

◆ Name()

std::string ROOT::Math::GSLRandomEngine::Name ( ) const

inherited

return name of generator

◆ NegativeBinomial()

unsigned int ROOT::Math::GSLRandomEngine::NegativeBinomial	(	double	p,
		double	n
	)		const

inherited

Negative Binomial distribution

◆ operator()()

double ROOT::Math::GSLRandomEngine::operator() ( ) const

inherited

Generate a random number between ]0,1] 0 is excluded and 1 is included

Referenced by ROOT::Math::GSLRandomEngine::RandomArray().

◆ Pareto()

double ROOT::Math::GSLRandomEngine::Pareto	(	double	a,
		double	b
	)		const

inherited

Pareto distribution

◆ Poisson()

unsigned int ROOT::Math::GSLRandomEngine::Poisson ( double mu ) const

inherited

Poisson distribution

◆ RandomArray() [1/2]

void ROOT::Math::GSLRandomEngine::RandomArray	(	double *	begin,
		double *	end
	)		const

inherited

Generate an array of random numbers The iterators points to the random numbers

◆ RandomArray() [2/2]

template<class Iterator >

void ROOT::Math::GSLRandomEngine::RandomArray	(	Iterator	begin,
		Iterator	end
	)		const

inlineinherited

Generate an array of random numbers. The iterators points to the random numbers

Definition at line 142 of file GSLRndmEngines.h.

                                                            {
          for ( Iterator itr = begin; itr != end; ++itr ) {
             *itr = this->operator()();
          }
       }

References ROOT::Math::GSLRandomEngine::operator()().

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◆ Rayleigh()

double ROOT::Math::GSLRandomEngine::Rayleigh ( double sigma ) const

inherited

Rayleigh distribution

◆ Rndm()

double ROOT::Math::GSLRandomEngine::Rndm ( ) const

inlineinherited

Generate a random number between ]0,1] 0 is excluded and 1 is included

Definition at line 120 of file GSLRndmEngines.h.

120 { return (*this)(); }

◆ RndmInt()

unsigned long ROOT::Math::GSLRandomEngine::RndmInt ( unsigned long max ) const

inherited

Generate an integer number between [0,max-1] (including 0 and max-1) if max is larger than available range of algorithm an error message is printed and zero is returned

Referenced by ROOT::Math::GSLRandomEngine::IntRndm().

◆ SetSeed()

void ROOT::Math::GSLRandomEngine::SetSeed ( unsigned int seed ) const

inherited

set the random generator seed

◆ SetType()

void ROOT::Math::GSLRandomEngine::SetType ( GSLRngWrapper * r )

inlineprotectedinherited

internal method used by the derived class to set the type of generators

Definition at line 309 of file GSLRndmEngines.h.

                                       {
          fRng = r;
       }

References ROOT::Math::GSLRandomEngine::fRng.

◆ Size()

unsigned int ROOT::Math::GSLRandomEngine::Size ( ) const

inherited

return the state size of generator

◆ tDist()

double ROOT::Math::GSLRandomEngine::tDist ( double nu ) const

inherited

t student distribution

◆ Terminate()

void ROOT::Math::GSLRandomEngine::Terminate ( )

inherited

delete pointer to contained rng

Member Data Documentation

◆ fCurTime

unsigned int ROOT::Math::GSLRandomEngine::fCurTime

mutableprivateinherited

Definition at line 322 of file GSLRndmEngines.h.

◆ fRng

GSLRngWrapper* ROOT::Math::GSLRandomEngine::fRng

privateinherited

Definition at line 321 of file GSLRndmEngines.h.

Referenced by ROOT::Math::GSLRandomEngine::Engine(), and ROOT::Math::GSLRandomEngine::SetType().

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

/home/build/builds/o5h8MZZm/0/mlz/bornagain/Fit/3rdparty/RootMinimizers/mathcore/Math/GSLRndmEngines.h

Description

Public Types

Public Member Functions

Random Distributions

Member Typedef Documentation

◆ BaseType

Constructor & Destructor Documentation

◆ GSLRngRanLuxD2()

Member Function Documentation

◆ Beta()

◆ Binomial()

◆ Cauchy()

◆ ChiSquare()

◆ Dir2D()

◆ Dir3D()

◆ Engine()

◆ Exponential()

◆ FDist()

◆ Gamma()

◆ Gaussian()

◆ Gaussian2D()

◆ GaussianRatio()

◆ GaussianTail()

◆ GaussianZig()

◆ Initialize()

◆ IntRndm()

◆ Landau()

◆ Logistic()

◆ LogNormal()

◆ MaxInt()

◆ MinInt()

◆ Multinomial()

◆ Name()

◆ NegativeBinomial()

◆ operator()()

◆ Pareto()

◆ Poisson()

◆ RandomArray() [1/2]

◆ RandomArray() [2/2]

◆ Rayleigh()

◆ Rndm()

◆ RndmInt()

◆ SetSeed()

◆ SetType()

◆ Size()

◆ tDist()

◆ Terminate()

Member Data Documentation

◆ fCurTime

◆ fRng