Definition at line 139 of file RandomFunctions.h.
Public Member Functions | |
| RandomFunctions (Engine &rng) | |
| ~RandomFunctions () | |
| destructor (no op) we do not mantain the engine)  More... | |
| double | Beta (double, double) | 
| 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... | |
| double | ChiSquare (double) | 
| void | Circle (double &x, double &y, double r) | 
| Generates random vectors, uniformly distributed over a circle of given radius.  More... | |
| double | Exp (double tau) | 
| Returns an exponential deviate.  More... | |
| double | FDist (double, double) | 
| double | Gamma (double, double) | 
| methods which are only for GSL random generators  More... | |
| double | Gaus (double mean, double sigma) | 
| generate Gaussian number using defqault method  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... | |
| 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 )  More... | |
| 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  More... | |
| double | Pareto (double, double) | 
| int | Poisson (double mean) | 
| Generates a random integer N according to a Poisson law.  More... | |
| double | PoissonD (double mean) | 
| void | Rannor (double &a, double &b) | 
| Generate numbers distributed following a gaussian with mean=0 and sigma=1.  More... | |
| 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.  More... | |
| double | tDist (double) | 
| double | Uniform (double a) | 
| generate random numbers following a Uniform distribution in the [0,a] interval  More... | |
| double | Uniform (double a, double b) | 
| generate random numbers following a Uniform distribution in the [a,b] interval  More... | |
Protected Member Functions | |
| double | Rndm_impl () | 
| Internal impelmentation to return random number Since this one is not a virtual function is faster than Rndm.  More... | |
| Engine & | Rng () | 
Private Attributes | |
| Engine * | fEngine | 
| RandomFunctionsImpl< EngineBaseType > | fImpl | 
| random number generator engine  More... | |
#include <Math/RandomFunctions.h>
      
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Definition at line 146 of file RandomFunctions.h.
      
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destructor (no op) we do not mantain the engine)
Definition at line 151 of file RandomFunctions.h.
      
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Definition at line 252 of file RandomFunctions.h.
      
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Generate binomial numbers.
Definition at line 159 of file RandomFunctions.h.
      
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Return a number distributed following a BreitWigner function with mean and gamma.
Definition at line 164 of file RandomFunctions.h.
      
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Definition at line 260 of file RandomFunctions.h.
      
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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
Definition at line 171 of file RandomFunctions.h.
      
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Definition at line 276 of file RandomFunctions.h.
      
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methods which are only for GSL random generators
Gamma functions (not implemented here, requires a GSL random engine)
Definition at line 247 of file RandomFunctions.h.
      
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generate Gaussian number using defqault method
Definition at line 227 of file RandomFunctions.h.
      
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generate random numbers according to the Accemptance-Complemet-Ratio method
Definition at line 187 of file RandomFunctions.h.
      
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generate Gaussian number using Box-Muller method
Definition at line 182 of file RandomFunctions.h.
      
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Generate a random number following a Landau distribution with location parameter mu and scale parameter sigma: Landau( (x-mu)/sigma )
Definition at line 194 of file RandomFunctions.h.
      
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Definition at line 268 of file RandomFunctions.h.
      
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Definition at line 256 of file RandomFunctions.h.
      
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Definition at line 288 of file RandomFunctions.h.
      
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Definition at line 284 of file RandomFunctions.h.
      
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non-virtual method
Definition at line 155 of file RandomFunctions.h.
      
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Definition at line 272 of file RandomFunctions.h.
      
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Generates a random integer N according to a Poisson law.
Prob(N) = exp(-mean)*mean^N/Factorial(N)
Definition at line 200 of file RandomFunctions.h.
      
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Definition at line 201 of file RandomFunctions.h.
      
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Generate numbers distributed following a gaussian with mean=0 and sigma=1.
Using the Box-Muller method 
 
Definition at line 205 of file RandomFunctions.h.
      
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Definition at line 264 of file RandomFunctions.h.
      
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Internal impelmentation to return random number Since this one is not a virtual function is faster than Rndm.
Definition at line 300 of file RandomFunctions.h.
      
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Definition at line 296 of file RandomFunctions.h.
      
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Generates random vectors, uniformly distributed over the surface of a sphere of given radius.
Definition at line 211 of file RandomFunctions.h.
      
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Definition at line 280 of file RandomFunctions.h.
      
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generate random numbers following a Uniform distribution in the [0,a] interval
Definition at line 221 of file RandomFunctions.h.
      
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generate random numbers following a Uniform distribution in the [a,b] interval
Definition at line 216 of file RandomFunctions.h.
      
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Definition at line 305 of file RandomFunctions.h.
      
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random number generator engine
Definition at line 306 of file RandomFunctions.h.