ROOT::Math::RandomFunctionsImpl< TRandomEngine > Class Reference

Description

Implementation class for the RandomFunction for all the engined that derives from TRandomEngine class, which defines an interface which has TRandomEngine::Rndm() In this way we can have a common implementation for the RandomFunctions

Definition at line 69 of file RandomFunctions.h.

Collaboration diagram for ROOT::Math::RandomFunctionsImpl< TRandomEngine >:

Public Member Functions
	RandomFunctionsImpl ()
	class constructor More...
int	Binomial (int ntot, double prob)
	Generate binomial numbers. More...
double	BreitWigner (double mean, double gamma)
	Return a number distributed following a BreitWigner function with mean and gamma. More...
void	Circle (double &x, double &y, double r)
	Generates random vectors, uniformly distributed over a circle of given radius. Input : r = circle radius Output: x,y a random 2-d vector of length r. More...
double	Exp (double tau)
	Returns an exponential deviate. exp( -t/tau ) More...
double	GausACR (double mean, double sigma)
	generate random numbers according to the Accemptance-Complemet-Ratio method More...
double	GausBM (double mean, double sigma)
	generate Gaussian number using Box-Muller method More...
int	Poisson (double mean)
	Generate a random number following a Landau distribution with location parameter mu and scale parameter sigma: Landau( (x-mu)/sigma ) More...
double	PoissonD (double mean)
void	Rannor (double &a, double &b)
	Generate numbers distributed following a gaussian with mean=0 and sigma=1. Using the Box-Muller method. More...
void	SetEngine (void *r)
void	Sphere (double &x, double &y, double &z, double r)
	Generates random vectors, uniformly distributed over the surface of a sphere of given radius. More...
double	Uniform (double a)
double	Uniform (double a, double b)
	generate random numbers following a Uniform distribution in the [a,b] interval More...

Protected Attributes
TRandomEngine *	fBaseEngine

Private Member Functions
double	Gaus (double mean, double sigma)
double	Rndm ()

Constructor & Destructor Documentation

RandomFunctionsImpl()

ROOT::Math::RandomFunctionsImpl< TRandomEngine >::RandomFunctionsImpl ( )

inline

class constructor

Definition at line 74 of file RandomFunctions.h.

: fBaseEngine(0) {}

Member Function Documentation

Binomial()

int ROOT::Math::RandomFunctionsImpl< TRandomEngine >::Binomial	(	int	ntot,
		double	prob
	)

Generate binomial numbers.

BreitWigner()

double ROOT::Math::RandomFunctionsImpl< TRandomEngine >::BreitWigner	(	double	mean,
		double	gamma
	)

Return a number distributed following a BreitWigner function with mean and gamma.

Circle()

void ROOT::Math::RandomFunctionsImpl< TRandomEngine >::Circle	(	double &	x,
		double &	y,
		double	r
	)

Generates random vectors, uniformly distributed over a circle of given radius. Input : r = circle radius Output: x,y a random 2-d vector of length r.

Exp()

double ROOT::Math::RandomFunctionsImpl< TRandomEngine >::Exp

(

double

tau

)

Returns an exponential deviate. exp( -t/tau )

Gaus()

double ROOT::Math::RandomFunctionsImpl< TRandomEngine >::Gaus ( double  mean, double  sigma  )

inlineprivate

Definition at line 132 of file RandomFunctions.h.

{ return GausACR(mean,sigma); }

GausACR()

double ROOT::Math::RandomFunctionsImpl< TRandomEngine >::GausACR	(	double	mean,
		double	sigma
	)

generate random numbers according to the Accemptance-Complemet-Ratio method

GausBM()

double ROOT::Math::RandomFunctionsImpl< TRandomEngine >::GausBM	(	double	mean,
		double	sigma
	)

generate Gaussian number using Box-Muller method

Poisson()

int ROOT::Math::RandomFunctionsImpl< TRandomEngine >::Poisson

(

double

mean

)

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

Generates a random integer N according to a Poisson law. Prob(N) = exp(-mean)*mean^N/Factorial(N)

PoissonD()

double ROOT::Math::RandomFunctionsImpl< TRandomEngine >::PoissonD

(

double

mean

)

Rannor()

void ROOT::Math::RandomFunctionsImpl< TRandomEngine >::Rannor	(	double &	a,
		double &	b
	)

Generate numbers distributed following a gaussian with mean=0 and sigma=1. Using the Box-Muller method.

Rndm()

double ROOT::Math::RandomFunctionsImpl< TRandomEngine >::Rndm ( )

inlineprivate

Definition at line 130 of file RandomFunctions.h.

{ return fBaseEngine->Rndm(); }

References ROOT::Math::TRandomEngine::Rndm().

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SetEngine()

void ROOT::Math::RandomFunctionsImpl< TRandomEngine >::SetEngine ( void *  r )

inline

Definition at line 76 of file RandomFunctions.h.

                              {
         fBaseEngine = static_cast<TRandomEngine*>(r);
         assert(fBaseEngine);  // to be sure the static cast works 
      }

Sphere()

void ROOT::Math::RandomFunctionsImpl< TRandomEngine >::Sphere	(	double &	x,
		double &	y,
		double &	z,
		double	r
	)

Generates random vectors, uniformly distributed over the surface of a sphere of given radius.

Uniform() [1/2]

double ROOT::Math::RandomFunctionsImpl< TRandomEngine >::Uniform

(

double

a

)

Uniform() [2/2]

double ROOT::Math::RandomFunctionsImpl< TRandomEngine >::Uniform	(	double	a,
		double	b
	)

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

Member Data Documentation

fBaseEngine

TRandomEngine* ROOT::Math::RandomFunctionsImpl< TRandomEngine >::fBaseEngine

protected

Definition at line 126 of file RandomFunctions.h.

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

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