source: src/RandomNumbers/RandomNumberDistribution_Encapsulation.cpp@ c14c78

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Last change on this file since c14c78 was 0275ad, checked in by Frederik Heber <heber@…>, 15 years ago

Final step in Random numbers is done ...
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1/*
2 * Project: MoleCuilder
3 * Description: creates and alters molecular systems
4 * Copyright (C) 2010 University of Bonn. All rights reserved.
5 * Please see the LICENSE file or "Copyright notice" in builder.cpp for details.
6 */
7
8/*
9 * \file RandomNumberDistribution_Encapsulation_impl.hpp
10 *
11 * Herein we place specializations of specific functions for specific distributions.
12 *
13 * Created on: Jan 5, 2011
14 * Author: heber
15 */
16
17// include config.h
18#ifdef HAVE_CONFIG_H
19#include <config.h>
20#endif
21
22#include "CodePatterns/MemDebug.hpp"
23
24#include "RandomNumberDistribution_Encapsulation.hpp"
25
26/* ========= manipulatedclone() ================ */
27
28template <>
29RandomNumberDistribution_Encapsulation< boost::uniform_smallint<> >::
30RandomNumberDistribution_Encapsulation (const RandomNumberDistribution_Parameters&_params) :
31 distribution_type(_params.min, _params.max)
32{}
33
34template <>
35RandomNumberDistribution_Encapsulation< boost::uniform_int<> >::
36RandomNumberDistribution_Encapsulation(const RandomNumberDistribution_Parameters&_params) :
37 distribution_type(_params.min, _params.max)
38{}
39
40template <>
41RandomNumberDistribution_Encapsulation< boost::uniform_real<> >::
42RandomNumberDistribution_Encapsulation(const RandomNumberDistribution_Parameters&_params) :
43 distribution_type(_params.min, _params.max)
44{}
45
46template <>
47RandomNumberDistribution_Encapsulation< boost::bernoulli_distribution<> >::
48RandomNumberDistribution_Encapsulation(const RandomNumberDistribution_Parameters&_params) :
49 distribution_type(_params.p)
50{}
51
52template <>
53RandomNumberDistribution_Encapsulation< boost::binomial_distribution<> >::
54RandomNumberDistribution_Encapsulation(const RandomNumberDistribution_Parameters&_params) :
55 distribution_type((int)_params.t, _params.p)
56{}
57
58template <>
59RandomNumberDistribution_Encapsulation< boost::cauchy_distribution<> >::
60RandomNumberDistribution_Encapsulation(const RandomNumberDistribution_Parameters&_params) :
61 distribution_type(_params.median, _params.sigma)
62{}
63
64template <>
65RandomNumberDistribution_Encapsulation< boost::gamma_distribution<> >::
66RandomNumberDistribution_Encapsulation(const RandomNumberDistribution_Parameters&_params) :
67 distribution_type(_params.alpha)
68{}
69
70template <>
71RandomNumberDistribution_Encapsulation< boost::poisson_distribution<> >::
72RandomNumberDistribution_Encapsulation(const RandomNumberDistribution_Parameters&_params) :
73 distribution_type(_params.mean)
74{}
75
76template <>
77RandomNumberDistribution_Encapsulation< boost::geometric_distribution<> >::
78RandomNumberDistribution_Encapsulation(const RandomNumberDistribution_Parameters&_params) :
79 distribution_type(_params.p)
80{}
81
82template <>
83RandomNumberDistribution_Encapsulation< boost::triangle_distribution<> >::
84RandomNumberDistribution_Encapsulation(const RandomNumberDistribution_Parameters&_params) :
85 distribution_type(_params.a, _params.b, _params.c)
86{}
87
88template <>
89RandomNumberDistribution_Encapsulation< boost::exponential_distribution<> >::
90RandomNumberDistribution_Encapsulation(const RandomNumberDistribution_Parameters&_params) :
91 distribution_type(_params.lambda)
92{}
93
94template <>
95RandomNumberDistribution_Encapsulation< boost::normal_distribution<> >::
96RandomNumberDistribution_Encapsulation(const RandomNumberDistribution_Parameters&_params) :
97 distribution_type(_params.mean, _params.sigma)
98{}
99
100template <>
101RandomNumberDistribution_Encapsulation< boost::lognormal_distribution<> >::
102RandomNumberDistribution_Encapsulation(const RandomNumberDistribution_Parameters&_params) :
103 distribution_type(_params.mean, _params.sigma)
104{}
105
106/* =============== min() ======================= */
107
108template <>
109double RandomNumberDistribution_Encapsulation< boost::uniform_smallint<> >::min() const
110{
111 return distribution_type.min();
112}
113
114template <>
115double RandomNumberDistribution_Encapsulation< boost::uniform_int<> >::min() const
116{
117 return distribution_type.min();
118}
119
120template <>
121double RandomNumberDistribution_Encapsulation< boost::uniform_01<> >::min() const
122{
123 return distribution_type.min();
124}
125
126template <>
127double RandomNumberDistribution_Encapsulation< boost::uniform_real<> >::min() const
128{
129 return distribution_type.min();
130}
131
132
133
134/* =============== max() ======================= */
135
136template <>
137double RandomNumberDistribution_Encapsulation< boost::uniform_smallint<> >::max() const
138{
139 return distribution_type.max();
140}
141
142template <>
143double RandomNumberDistribution_Encapsulation< boost::uniform_int<> >::max() const
144{
145 return distribution_type.max();
146}
147
148template <>
149double RandomNumberDistribution_Encapsulation< boost::uniform_01<> >::max() const
150{
151 return distribution_type.max();
152}
153
154template <>
155double RandomNumberDistribution_Encapsulation< boost::uniform_real<> >::max() const
156{
157 return distribution_type.max();
158}
159
160
161/* =============== p() ======================= */
162
163template <>
164double RandomNumberDistribution_Encapsulation< boost::bernoulli_distribution<> >::p() const
165{
166 return distribution_type.p();
167}
168
169template <>
170double RandomNumberDistribution_Encapsulation< boost::binomial_distribution<> >::p() const
171{
172 return distribution_type.p();
173}
174
175template <>
176double RandomNumberDistribution_Encapsulation< boost::geometric_distribution<> >::p() const
177{
178 return distribution_type.p();
179}
180
181
182/* =============== t() ======================= */
183
184template <>
185double RandomNumberDistribution_Encapsulation< boost::binomial_distribution<> >::t() const
186{
187 return distribution_type.t();
188}
189
190/* =============== median() ======================= */
191
192template <>
193double RandomNumberDistribution_Encapsulation< boost::cauchy_distribution<> >::median() const
194{
195 return distribution_type.median();
196}
197
198/* =============== sigma() ======================= */
199
200template <>
201double RandomNumberDistribution_Encapsulation< boost::cauchy_distribution<> >::sigma() const
202{
203 return distribution_type.sigma();
204}
205
206template <>
207double RandomNumberDistribution_Encapsulation< boost::normal_distribution<> >::sigma() const
208{
209 return distribution_type.sigma();
210}
211
212template <>
213double RandomNumberDistribution_Encapsulation< boost::lognormal_distribution<> >::sigma() const
214{
215 return distribution_type.sigma();
216}
217
218/* =============== alpha() ======================= */
219
220template <>
221double RandomNumberDistribution_Encapsulation< boost::gamma_distribution<> >::alpha() const
222{
223 return distribution_type.alpha();
224}
225
226
227/* =============== mean() ======================= */
228
229template <>
230double RandomNumberDistribution_Encapsulation< boost::poisson_distribution<> >::mean() const
231{
232 return distribution_type.mean();
233}
234
235template <>
236double RandomNumberDistribution_Encapsulation< boost::normal_distribution<> >::mean() const
237{
238 return distribution_type.mean();
239}
240
241template <>
242double RandomNumberDistribution_Encapsulation< boost::lognormal_distribution<> >::mean() const
243{
244 return distribution_type.mean();
245}
246
247/* =============== a() ======================= */
248
249template <>
250double RandomNumberDistribution_Encapsulation< boost::triangle_distribution<> >::a() const
251{
252 return distribution_type.a();
253}
254
255
256/* =============== b() ======================= */
257
258template <>
259double RandomNumberDistribution_Encapsulation< boost::triangle_distribution<> >::b() const
260{
261 return distribution_type.b();
262}
263
264
265/* =============== c() ======================= */
266
267template <>
268double RandomNumberDistribution_Encapsulation< boost::triangle_distribution<> >::c() const
269{
270 return distribution_type.c();
271}
272
273
274/* =============== lambda() ======================= */
275
276template <>
277double RandomNumberDistribution_Encapsulation< boost::exponential_distribution<> >::lambda() const
278{
279 return distribution_type.lambda();
280}
281
282
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