source: Sophya/trunk/SophyaLib/BaseTools/randinterf.h@ 3612

Last change on this file since 3612 was 3612, checked in by ansari, 16 years ago

Suite modifs / adaptation avec l'introduction de la suite des classes RandomGeneratorInterface et Cie , Reza 30/04/2009

File size: 4.8 KB
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1#ifndef RANDOMGENERATORINTERFACE_H_SEEN
2#define RANDOMGENERATORINTERFACE_H_SEEN
3
4// Classes RandomGeneratorInterface
5//
6// R. Ansari (C) UPS+LAL IN2P3/CNRS 2009
7// C. Magneville (C) DAPNIA/SPP CEA 2009
8
9
10#include "machdefs.h"
11#include "anydataobj.h"
12#include <complex>
13#include <vector>
14
15namespace SOPHYA {
16
17//! enum definition for usual types of probability distributio finctions
18enum RNDTypes {
19 C_RND_Flat = 0,
20 C_RND_Gaussian = 1,
21 C_RND_Poisson = 2,
22 C_RND_Exponential = 3
23};
24
25//! enum definition for the type of algorithm used for Gaussian distribution generation
26enum GaussianGenAlgo {
27 C_Gaussian_BoxMuller = 0,
28 C_Gaussian_RandLibSNorm = 1,
29 C_Gaussian_PolarBoxMuller = 2,
30 C_Gaussian_RatioUnif = 3,
31 C_Gaussian_LevaRatioUnif = 4
32};
33
34//! enum definition for the type of algorithm used for Poisson distribution generation
35enum PoissonGenAlgo {
36 C_Poisson_Simple = 0,
37 C_Poisson_Ahrens = 1
38};
39
40//! enum definition for the type of algorithm used for exponential distribution generation
41enum ExponentialGenAlgo {
42 C_Exponential_Simple = 0,
43 C_Exponential_Ahrens = 1
44};
45
46// Definition de l'interface pour les classes generateur aleatoire
47class RandomGeneratorInterface : public AnyDataObj {
48public:
49 RandomGeneratorInterface();
50 virtual ~RandomGeneratorInterface();
51
52//! Select Gaussian generation algorithm
53 inline void SelectGaussianAlgo(GaussianGenAlgo typ=C_Gaussian_BoxMuller)
54 { usegaussian_ = typ; }
55//! Select Poisson generation algorithm
56 inline void SelectPoissonAlgo(PoissonGenAlgo typ=C_Poisson_Simple)
57 { usepoisson_ = typ; }
58//! Select Exponential generation algorithm
59 inline void SelectExponentialAlgo(ExponentialGenAlgo typ=C_Exponential_Simple)
60 { useexpo_ = typ; }
61
62//! Return the Gaussian generation algorithm type
63 inline GaussianGenAlgo GetGaussianAlgo()
64 { return usegaussian_; }
65//! Return the Poisson generation algorithm type
66 inline PoissonGenAlgo GetPoissonAlgo()
67 { return usepoisson_; }
68//! Return the Exponential generation algorithm type
69//! Select Exponential generation algorithm
70 inline ExponentialGenAlgo GetExponentialAlgo()
71 { return useexpo_; }
72
73 virtual void GenerateSeedVector(int nseed,vector<uint_2>& seed,int lp=0);
74
75 // --- Le tirage sur une distribution plate
76 /*! \brief Return a random number \b r with a flat distribution 0<=r<1 */
77 inline r_8 Flat01() {return Next();}
78 /*! \brief Return a random number \b r with a flat distribution -1<=r<1 */
79 inline r_8 Flatpm1() {return 2.*Next()-1.;}
80
81 // --- Le tirage sur une distribution gaussienne
82 /*! \brief Return a random number following a gaussian distribution (sigma=1, mean=0)*/
83 virtual r_8 Gaussian();
84
85 virtual r_8 GaussianBoxMuller();
86 virtual r_8 GaussianSNorm();
87 virtual r_8 GaussianPolarBoxMuller();
88 virtual r_8 GaussianRatioUnif();
89 virtual r_8 GaussianLevaRatioUnif();
90 /*! \brief Return a random number following a gaussian distribution "sigma", (mean=0)*/
91 inline r_8 Gaussian(double sigma) {return sigma*Gaussian();}
92 /*! \brief Return a random number following a gaussian distribution with mean=mu, and sigma */
93 inline r_8 Gaussian(double sigma,double mu) {return sigma*Gaussian()+mu;}
94
95 /*! \brief Return a random number following a gaussian tail distribution for x>sdev */
96 virtual r_8 GaussianTail(double sdev);
97
98 // --- Le tirage sur une distribution de poisson
99 /*! \brief Return a random number following a poisson distribution with mean mu */
100 virtual uint_8 Poisson(double mu, double mumax=-1);
101
102 virtual uint_8 PoissonSimple(double mu, double mumax=-1);
103 virtual uint_8 PoissonAhrens(double mu);
104
105 //! Return a random number with exponential distribution
106 virtual r_8 Exponential();
107
108 virtual r_8 ExpoSimple();
109 virtual r_8 ExpoAhrens();
110
111 // --- Le tirage gaussien complexe (cf texte a la fin du .cc)
112 inline complex< r_8 > ComplexGaussRan(void)
113 {return complex< r_8 >(Gaussian(),Gaussian());}
114 inline complex< r_8 > ComplexGaussRan(double sig)
115 {return complex< r_8 >(sig*Gaussian(),sig*Gaussian());}
116 /*! \brief Returns the module of a random complex number generated by ComplexGaussRan */
117 inline double ModComplexGaussRan(double sig=1.)
118 {double r=-log(1.-Next()); return sig*sqrt(2.*r);}
119
120//! Return the pointer to the default global RandomGenerator object
121 static inline RandomGeneratorInterface* GetGlobalRandGenP()
122 { return gl_rndgen_p; }
123
124// Permet de definir l'instance global du generateur aleatoire
125 static void SetGlobalRandGenP(RandomGeneratorInterface* rgp);
126
127protected:
128 //! Return a random number in [0,1]
129 virtual r_8 Next();
130
131// Selection de type d'algo pour les aleatoires autres que plates
132 GaussianGenAlgo usegaussian_;
133 PoissonGenAlgo usepoisson_;
134 ExponentialGenAlgo useexpo_;
135
136 // Instance global d'un generateur par defaut
137 static RandomGeneratorInterface* gl_rndgen_p;
138};
139
140} /* namespace SOPHYA */
141
142#endif
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