# source:trunk/lib/utility/random_singleton.h@358

Last change on this file since 358 was 358, checked in by Peter, 17 years ago

cleaned up in random_singleton

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• Property svn:keywords set to Author Date Id Revision
File size: 4.8 KB
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1// $Id: random_singleton.h 358 2005-08-03 16:09:44Z peter$
2
3#ifndef _theplu_utility_random_singleton_
4#define _theplu_utility_random_singleton_
5
6
7// #include <cstdlib>
8// #include <cstdio>
9#include <string>
10
11#include <gsl/gsl_rng.h>
12#include <gsl/gsl_randist.h>
13
14namespace theplu {
15namespace utility {
16
17  ///
18  /// Class defining interface for different random stuff.
19  ///
20  class random_singleton
21  {
22  public:
23    ///
24    ///   Method used to instantiate an object from this class. The
25    ///   seed is zero by default. If user wish to use time the user
26    ///   should specify a negative seed. Note that if an object
27    ///   already exists the method will return that object and hence
28    ///   no new object is created.
29    ///
30    static random_singleton* instance( int seed = 0 );
31
32
33    ///
34    /// A random unsigned long integer number is returned from a
35    /// uniform distribution.
36    ///
37    /// @return If \a n is zero, or left out, a number between [ \a
38    /// min, \a max ] is returned, otherwise a number between 0 and
39    /// n-1 is returned.
40    ///
41    /// @see uniform_int_min() and uniform_int_max().
42    ///
43    inline u_long uniform_int(const u_long n=0) const;
44
45
46    /// A random number (double precision) is returned from a uniform
47    /// distribution between [ 0, 1 [.
48    ///
49    inline double uniform_double() const;
50
51
52    ///
53    /// A random number (double precision) is returned from a
54    /// gaussioan distribution between where \a sigma can be specified
55    /// by caller. \a sigma (\f$\sigma\f$) is the standard deviation
56    /// in a gaussian distribution:
57    ///
58    /// \f$f(x) = \frac{1}{\sqrt{2\pi\sigma^2}}e^{-\frac{x^2}{2\sigma^2}}\f$
59    ///
60    inline double gaussian( const double& sigma=1 ) const;
61
62
63    ///
64    /// A random number (double precision) is returned from an
65    /// exponential distribution. \a mu (\f$\mu\f$), the mean, can be
66    /// specified by caller: \f$f(x) = 67 /// \frac{1}{\mu}e^{-\frac{x}{\mu}}\f$.
68    ///
69    inline double exponential( const double& mu=1 ) const;
70
71
72    ///
73    /// @brief random number from Poisson distribution
74    ///
75    /// Probability that returned number i \f$k \f$ is \f$P(k) = 76 /// \frac{m^k}{k!}e^{-m} \f$
77    ///
78    inline u_int poisson(const double m) const
79    { return gsl_ran_poisson(r_, m); }
80
81    ///
82    /// @See uniform_int()!
83    ///
84    inline u_long uniform_min() const;
85
86
87    ///
88    /// @See uniform_int()!
89    ///
90    inline u_long uniform_max() const;
91
92
93    ///
94    /// Return seed to user for documentation purposes.
95    ///
96    inline int seed() const;
97
98    ///
99    /// Set a new seed
100    ///
101    void seed( const int& seed );
102
103
104    ///
105    /// Set probabilities \a p for the general purpose distribution.
106    ///
107    /// @see rnd_discrete
108    ///
109    inline void general_distribution_prob( const size_t& k,
110                                           const double* p );
111
112
113    ///
114    /// Get a random number (index) from the general purpose
115    /// distribution
116    ///
117    /// @see general_distribution_prob
118    ///
119    inline size_t rnd_discrete();
120
121
122    ///
123    /// GSL has different types of random genenerators. This function
124    /// returns the one used.
125    ///
126    std::string generator_type(void) const;
127
128    ///
129    /// Operator for STL
130    ///
131    ///inline double operator()(void) { return uniform_double();}
132
133
134    ///
135    ///   Destructor returning memory using GSL free functions
136    ///
137    ~random_singleton();
138
139  private:
140    ///
141    /// pointer to an instance of the class.
142    ///
143    static random_singleton *singleobj_;
144
145    ///
146    /// GSL stuff
147    ///
148    gsl_rng* r_;
149    gsl_ran_discrete_t* gen_;  // general purpose distribution
150
151    ///
152    /// Private constructor. Only way to create object is via
153    /// instance().
154    ///
155    random_singleton();
156  };
157
158  struct my_uniform_rng
159  {
160  public:
161    inline u_long operator()(u_long i) {
162      return random_singleton::instance()->uniform_int(i);
163    }
164  };
165
166double random_singleton::exponential( const double& mu ) const
167{
168  return gsl_ran_exponential( r_, mu );
169}
170
171
172double random_singleton::gaussian( const double& sigma ) const
173{
174  return gsl_ran_gaussian( r_, sigma );
175}
176
177
178inline std::string random_singleton::generator_type() const
179{
180  return static_cast<std::string>( gsl_rng_name( r_ ) );
181}
182
183
184size_t random_singleton::rnd_discrete()
185{
186  return gsl_ran_discrete( r_, gen_ );
187}
188
189
190int random_singleton::seed() const
191{
192  return gsl_rng_default_seed;
193}
194
195
196double random_singleton::uniform_double() const
197{
198  return gsl_rng_uniform( r_ );
199}
200
201
202u_long random_singleton::uniform_int(const u_long n) const
203{
204    return ( n ? gsl_rng_uniform_int(r_,n) : gsl_rng_get( r_ ));
205}
206
207
208u_long random_singleton::uniform_min() const
209{
210  return gsl_rng_min( r_ );
211}
212
213
214u_long random_singleton::uniform_max() const
215{
216  return gsl_rng_max( r_ );
217}
218
219
220void random_singleton::general_distribution_prob( const size_t& k,
221                                                  const double* p )
222{
223  gen_ = gsl_ran_discrete_preproc( k, p );
224}
225
226}} // of namespace utility and namespace theplu
227
228#endif
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