template<class EngineType>
class ROOT::Math::RandomFunctions< EngineType, ROOT::Math::GSLRandomEngine >

Specialized implementation of the Random functions based on the GSL library.

These will work onlmy with a GSLRandomEngine type

Definition at line 43 of file GSLRandomFunctions.h.

Public Member Functions
	RandomFunctions ()

	RandomFunctions (EngineType &rng)

double	Beta (double a, double b)
	Beta distribution.

unsigned int	Binomial (unsigned int ntot, double prob)
	Binomial distribution.

double	BreitWigner (double mean=0., double gamma=1)
	Breit Wigner distribution.

double	ChiSquare (double nu)
	Chi square distribution.

void	Circle (double &x, double &y, double r=1)
	generate random numbers in a 2D circle of radious 1

EngineType &	Engine ()

double	Exp (double tau)
	Exponential distribution.

double	FDist (double nu1, double nu2)
	F distribution.

double	Gamma (double a, double b)
	Gamma distribution.

double	Gaus (double mean=0, double sigma=1)
	Gaussian distribution.

double	GausBM (double mean=0, double sigma=1)
	Gaussian distribution (Box-Muller method)

double	GausR (double mean=0, double sigma=1)
	Gaussian distribution (Ratio Method)

void	Gaussian2D (double sigmaX, double sigmaY, double rho, double &x, double &y)
	Bivariate Gaussian distribution with correlation.

void	GaussianND (size_t n, const double meanVec, const double covMatrix, double x, double lmat=nullptr)
	Multi-variate Gaussian distribution with correlation.

double	GaussianTail (double a, double sigma=1)
	Gaussian Tail distribution.

double	GausZig (double mean, double sigma)

double	Landau (double mean=0, double sigma=1)
	Landau distribution.

double	Logistic (double a)
	Logistic distribution.

double	LogNormal (double zeta, double sigma)
	Log Normal distribution.

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

unsigned int	NegativeBinomial (double n, double prob)
	Negative Binomial distribution First parameter is n, second is probability To be consistent with Random::Binomial.

double	Pareto (double a, double b)
	Pareto distribution.

unsigned int	Poisson (double mu)
	Poisson distribution.

double	Rayleigh (double sigma)
	Rayleigh distribution.

void	Sphere (double &x, double &y, double &z, double r=1)
	generate random numbers in a 3D sphere of radious 1

double	tDist (double nu)
	t student distribution

Public Member Functions inherited from ROOT::Math::RandomFunctions< EngineType, DefaultEngineType >
	RandomFunctions (EngineType &rng)

	~RandomFunctions ()
	destructor (no op) we do not maintain the engine)

double	Beta (double, double)

int	Binomial (int ntot, double prob)
	Generate binomial numbers.

double	BreitWigner (double mean, double gamma)
	Return a number distributed following a BreitWigner function with mean and gamma.

double	ChiSquare (double)

void	Circle (double &x, double &y, double r)
	Generates random vectors, uniformly distributed over a circle of given radius.

double	Exp (double tau)
	Returns an exponential deviate.

double	FDist (double, double)

double	Gamma (double, double)
	methods which are only for GSL random generators

double	Gaus (double mean, double sigma)
	generate Gaussian number using default method

double	GausACR (double mean, double sigma)
	generate random numbers according to the Acceptance-Complement-Ratio method

double	GausBM (double mean, double sigma)
	generate Gaussian number using Box-Muller method

double	Landau (double mu, double sigma)
	Generate a random number following a Landau distribution with location parameter mu and scale parameter sigma: Landau( (x-mu)/sigma )

double	Logistic (double)

double	LogNormal (double, double)

std::vector< unsigned int >	MultiNomial (unsigned int, const std::vector< double > &)

unsigned int	NegativeBinomial (double, double)

double	operator() ()
	non-virtual method

double	Pareto (double, double)

int	Poisson (double mean)
	Generates a random integer N according to a Poisson law.

double	PoissonD (double mean)

void	Rannor (double &a, double &b)
	Generate numbers distributed following a gaussian with mean=0 and sigma=1.

double	Rayleigh (double)

void	Sphere (double &x, double &y, double &z, double r)
	Generates random vectors, uniformly distributed over the surface of a sphere of given radius.

double	tDist (double)

double	Uniform (double a)
	generate random numbers following a Uniform distribution in the [0,a] interval

double	Uniform (double a, double b)
	generate random numbers following a Uniform distribution in the [a,b] interval

Additional Inherited Members
Protected Member Functions inherited from ROOT::Math::RandomFunctions< EngineType, DefaultEngineType >
double	Rndm_impl ()
	Internal implementation to return random number Since this one is not a virtual function is faster than Rndm.

EngineType &	Rng ()

#include <Math/GSLRandomFunctions.h>

Inheritance diagram for ROOT::Math::RandomFunctions< EngineType, ROOT::Math::GSLRandomEngine >:

[legend]

Constructor & Destructor Documentation

◆ RandomFunctions() [1/2]

template<class EngineType >

ROOT::Math::RandomFunctions< EngineType, ROOT::Math::GSLRandomEngine >::RandomFunctions ( )

inline

Definition at line 50 of file GSLRandomFunctions.h.

◆ RandomFunctions() [2/2]

template<class EngineType >

ROOT::Math::RandomFunctions< EngineType, ROOT::Math::GSLRandomEngine >::RandomFunctions ( EngineType & rng )

inline

Definition at line 52 of file GSLRandomFunctions.h.

Member Function Documentation

◆ Beta()

template<class EngineType >

double ROOT::Math::RandomFunctions< EngineType, ROOT::Math::GSLRandomEngine >::Beta	(	double	a,
		double	b
	)

inline

Beta distribution.

Definition at line 141 of file GSLRandomFunctions.h.

◆ Binomial()

template<class EngineType >

unsigned int ROOT::Math::RandomFunctions< EngineType, ROOT::Math::GSLRandomEngine >::Binomial	(	unsigned int	ntot,
		double	prob
	)

inline

Binomial distribution.

Definition at line 222 of file GSLRandomFunctions.h.

◆ BreitWigner()

template<class EngineType >

double ROOT::Math::RandomFunctions< EngineType, ROOT::Math::GSLRandomEngine >::BreitWigner	(	double	mean = `0.`,
		double	gamma = `1`
	)

inline

Breit Wigner distribution.

Definition at line 120 of file GSLRandomFunctions.h.

◆ ChiSquare()

template<class EngineType >

double ROOT::Math::RandomFunctions< EngineType, ROOT::Math::GSLRandomEngine >::ChiSquare ( double nu )

inline

Chi square distribution.

Definition at line 155 of file GSLRandomFunctions.h.

◆ Circle()

template<class EngineType >

void ROOT::Math::RandomFunctions< EngineType, ROOT::Math::GSLRandomEngine >::Circle	(	double &	x,
		double &	y,
		double	r = `1`
	)

inline

generate random numbers in a 2D circle of radious 1

Definition at line 196 of file GSLRandomFunctions.h.

◆ Engine()

template<class EngineType >

EngineType & ROOT::Math::RandomFunctions< EngineType, ROOT::Math::GSLRandomEngine >::Engine ( )

inline

Definition at line 55 of file GSLRandomFunctions.h.

◆ Exp()

template<class EngineType >

double ROOT::Math::RandomFunctions< EngineType, ROOT::Math::GSLRandomEngine >::Exp ( double tau )

inline

Exponential distribution.

Definition at line 114 of file GSLRandomFunctions.h.

◆ FDist()

template<class EngineType >

double ROOT::Math::RandomFunctions< EngineType, ROOT::Math::GSLRandomEngine >::FDist	(	double	nu1,
		double	nu2
	)

inline

F distribution.

Definition at line 162 of file GSLRandomFunctions.h.

◆ Gamma()

template<class EngineType >

double ROOT::Math::RandomFunctions< EngineType, ROOT::Math::GSLRandomEngine >::Gamma	(	double	a,
		double	b
	)

inline

Gamma distribution.

Definition at line 134 of file GSLRandomFunctions.h.

◆ Gaus()

template<class EngineType >

double ROOT::Math::RandomFunctions< EngineType, ROOT::Math::GSLRandomEngine >::Gaus	(	double	mean = `0`,
		double	sigma = `1`
	)

inline

Gaussian distribution.

Default method (use Ziggurat)

Definition at line 68 of file GSLRandomFunctions.h.

◆ GausBM()

template<class EngineType >

double ROOT::Math::RandomFunctions< EngineType, ROOT::Math::GSLRandomEngine >::GausBM	(	double	mean = `0`,
		double	sigma = `1`
	)

inline

Gaussian distribution (Box-Muller method)

Definition at line 75 of file GSLRandomFunctions.h.

◆ GausR()

template<class EngineType >

double ROOT::Math::RandomFunctions< EngineType, ROOT::Math::GSLRandomEngine >::GausR	(	double	mean = `0`,
		double	sigma = `1`
	)

inline

Gaussian distribution (Ratio Method)

Definition at line 82 of file GSLRandomFunctions.h.

◆ Gaussian2D()

template<class EngineType >

void ROOT::Math::RandomFunctions< EngineType, ROOT::Math::GSLRandomEngine >::Gaussian2D	(	double	sigmaX,
		double	sigmaY,
		double	rho,
		double &	x,
		double &	y
	)

inline

Bivariate Gaussian distribution with correlation.

Definition at line 96 of file GSLRandomFunctions.h.

◆ GaussianND()

template<class EngineType >

void ROOT::Math::RandomFunctions< EngineType, ROOT::Math::GSLRandomEngine >::GaussianND	(	size_t	n,
		const double *	meanVec,
		const double *	covMatrix,
		double *	x,
		double *	lmat = `nullptr`
	)

inline

Multi-variate Gaussian distribution with correlation.

The covMatrix is a pointer to the covcariance matrix (NxN) Lmat is a pointer to store the factorized Cholesky decomposition C = LL^T of the covariance matrix If the generator is to be called again with the same covariance one can provide a null CovMAtrix and only lmat

Definition at line 107 of file GSLRandomFunctions.h.

◆ GaussianTail()

template<class EngineType >

double ROOT::Math::RandomFunctions< EngineType, ROOT::Math::GSLRandomEngine >::GaussianTail	(	double	a,
		double	sigma = `1`
	)

inline

Gaussian Tail distribution.

Definition at line 89 of file GSLRandomFunctions.h.

◆ GausZig()

template<class EngineType >

double ROOT::Math::RandomFunctions< EngineType, ROOT::Math::GSLRandomEngine >::GausZig	(	double	mean,
		double	sigma
	)

inline

Definition at line 57 of file GSLRandomFunctions.h.

◆ Landau()

template<class EngineType >

double ROOT::Math::RandomFunctions< EngineType, ROOT::Math::GSLRandomEngine >::Landau	(	double	mean = `0`,
		double	sigma = `1`
	)

inline

Landau distribution.

Definition at line 127 of file GSLRandomFunctions.h.

◆ Logistic()

template<class EngineType >

double ROOT::Math::RandomFunctions< EngineType, ROOT::Math::GSLRandomEngine >::Logistic ( double a )

inline

Logistic distribution.

Definition at line 182 of file GSLRandomFunctions.h.

◆ LogNormal()

template<class EngineType >

double ROOT::Math::RandomFunctions< EngineType, ROOT::Math::GSLRandomEngine >::LogNormal	(	double	zeta,
		double	sigma
	)

inline

Log Normal distribution.

Definition at line 148 of file GSLRandomFunctions.h.

◆ Multinomial()

template<class EngineType >

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

inline

Multinomial distribution.

Definition at line 238 of file GSLRandomFunctions.h.

◆ NegativeBinomial()

template<class EngineType >

unsigned int ROOT::Math::RandomFunctions< EngineType, ROOT::Math::GSLRandomEngine >::NegativeBinomial	(	double	n,
		double	prob
	)

inline

Negative Binomial distribution First parameter is n, second is probability To be consistent with Random::Binomial.

Definition at line 231 of file GSLRandomFunctions.h.

◆ Pareto()

template<class EngineType >

double ROOT::Math::RandomFunctions< EngineType, ROOT::Math::GSLRandomEngine >::Pareto	(	double	a,
		double	b
	)

inline

Pareto distribution.

Definition at line 189 of file GSLRandomFunctions.h.

◆ Poisson()

template<class EngineType >

unsigned int ROOT::Math::RandomFunctions< EngineType, ROOT::Math::GSLRandomEngine >::Poisson ( double mu )

inline

Poisson distribution.

Definition at line 215 of file GSLRandomFunctions.h.

◆ Rayleigh()

template<class EngineType >

double ROOT::Math::RandomFunctions< EngineType, ROOT::Math::GSLRandomEngine >::Rayleigh ( double sigma )

inline

Rayleigh distribution.

Definition at line 175 of file GSLRandomFunctions.h.

◆ Sphere()

template<class EngineType >

void ROOT::Math::RandomFunctions< EngineType, ROOT::Math::GSLRandomEngine >::Sphere	(	double &	x,
		double &	y,
		double &	z,
		double	r = `1`
	)

inline

generate random numbers in a 3D sphere of radious 1

Definition at line 205 of file GSLRandomFunctions.h.

◆ tDist()

template<class EngineType >

double ROOT::Math::RandomFunctions< EngineType, ROOT::Math::GSLRandomEngine >::tDist ( double nu )

inline

t student distribution

Definition at line 169 of file GSLRandomFunctions.h.

math/mathmore/inc/Math/GSLRandomFunctions.h

Public Member Functions

Additional Inherited Members

Constructor & Destructor Documentation

◆ RandomFunctions() [1/2]

◆ RandomFunctions() [2/2]

Member Function Documentation

◆ Beta()

◆ Binomial()

◆ BreitWigner()

◆ ChiSquare()

◆ Circle()

◆ Engine()

◆ Exp()

◆ FDist()

◆ Gamma()

◆ Gaus()

◆ GausBM()

◆ GausR()

◆ Gaussian2D()

◆ GaussianND()

◆ GaussianTail()

◆ GausZig()

◆ Landau()

◆ Logistic()

◆ LogNormal()

◆ Multinomial()

◆ NegativeBinomial()

◆ Pareto()

◆ Poisson()

◆ Rayleigh()

◆ Sphere()

◆ tDist()