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root/group/trunk/OOPSE-4/src/math/randomSPRNG.cpp
Revision: 1930
Committed: Wed Jan 12 22:41:40 2005 UTC (19 years, 6 months ago) by gezelter
File size: 3377 byte(s)
Log Message:
merging new_design branch into OOPSE-2.0

File Contents

# User Rev Content
1 gezelter 1930 /*
2     * Copyright (c) 2005 The University of Notre Dame. All Rights Reserved.
3     *
4     * The University of Notre Dame grants you ("Licensee") a
5     * non-exclusive, royalty free, license to use, modify and
6     * redistribute this software in source and binary code form, provided
7     * that the following conditions are met:
8     *
9     * 1. Acknowledgement of the program authors must be made in any
10     * publication of scientific results based in part on use of the
11     * program. An acceptable form of acknowledgement is citation of
12     * the article in which the program was described (Matthew
13     * A. Meineke, Charles F. Vardeman II, Teng Lin, Christopher
14     * J. Fennell and J. Daniel Gezelter, "OOPSE: An Object-Oriented
15     * Parallel Simulation Engine for Molecular Dynamics,"
16     * J. Comput. Chem. 26, pp. 252-271 (2005))
17     *
18     * 2. Redistributions of source code must retain the above copyright
19     * notice, this list of conditions and the following disclaimer.
20     *
21     * 3. Redistributions in binary form must reproduce the above copyright
22     * notice, this list of conditions and the following disclaimer in the
23     * documentation and/or other materials provided with the
24     * distribution.
25     *
26     * This software is provided "AS IS," without a warranty of any
27     * kind. All express or implied conditions, representations and
28     * warranties, including any implied warranty of merchantability,
29     * fitness for a particular purpose or non-infringement, are hereby
30     * excluded. The University of Notre Dame and its licensors shall not
31     * be liable for any damages suffered by licensee as a result of
32     * using, modifying or distributing the software or its
33     * derivatives. In no event will the University of Notre Dame or its
34     * licensors be liable for any lost revenue, profit or data, or for
35     * direct, indirect, special, consequential, incidental or punitive
36     * damages, however caused and regardless of the theory of liability,
37     * arising out of the use of or inability to use software, even if the
38     * University of Notre Dame has been advised of the possibility of
39     * such damages.
40     */
41    
42 gezelter 1490 #include <iostream>
43     #include <math.h>
44    
45 tim 1492 #include "math/randomSPRNG.hpp"
46     #include "utils/simError.h"
47 gezelter 1490 #include <sprng.h>
48    
49     #ifdef IS_MPI
50 gezelter 1930
51     #include <mpi.h>
52 gezelter 1490 #endif
53    
54    
55 gezelter 1930
56 gezelter 1490 /* randomStreamSPRNF creates a new SPRNG stream for random numbers
57     */
58    
59     int randomSPRNG::nStreamsInitialized = 0;
60    
61 gezelter 1930 randomSPRNG::randomSPRNG( int iseed ) {
62     int newSeed;
63     nStreamsInitialized++;
64     newSeed = abs(iseed) + nStreamsInitialized;
65 gezelter 1490
66 gezelter 1930 if (newSeed < 0)
67     newSeed = abs(newSeed);
68    
69 gezelter 1490 #ifdef IS_MPI
70    
71 gezelter 1930 //random number generator should not depend on MpiSimulation
72     MPI_Comm_size(MPI_COMM_WORLD, &nSPRNGStreams);
73     myStreamNumber = worldRank;
74 gezelter 1490
75     #else
76    
77 gezelter 1930 nSPRNGStreams = 1;
78     myStreamNumber = 0;
79 gezelter 1490
80     #endif
81    
82 gezelter 1930 thisStream = init_sprng(GTYPE, myStreamNumber, nSPRNGStreams, newSeed,
83     SPRNG_DEFAULT);
84 gezelter 1490 }
85    
86 gezelter 1930 randomSPRNG::~randomSPRNG() {
87     if (thisStream != NULL) {
88     free_sprng(thisStream);
89     nStreamsInitialized--;
90     }
91 gezelter 1490 }
92    
93 gezelter 1930 double randomSPRNG::getRandom() { return sprng(thisStream); }
94 gezelter 1490
95     // Gaussian SPRNG class...
96    
97 gezelter 1930 double gaussianSPRNG::getGaussian() {
98     double ranNum1;
99     double ranNum2;
100     double gaussianNumber;
101 gezelter 1490
102 gezelter 1930 ranNum1 = getRandom();
103     ranNum2 = getRandom();
104 gezelter 1490
105 gezelter 1930 gaussianNumber = sqrt(-2.0 * log(ranNum1)) * cos(2 * M_PI * ranNum2);
106 gezelter 1490
107 gezelter 1930 return gaussianNumber;
108 gezelter 1490 }