RandomNumberGenerator.cpp

00001 /*
00002 
00003 Copyright (C) University of Oxford, 2005-2011
00004 
00005 University of Oxford means the Chancellor, Masters and Scholars of the
00006 University of Oxford, having an administrative office at Wellington
00007 Square, Oxford OX1 2JD, UK.
00008 
00009 This file is part of Chaste.
00010 
00011 Chaste is free software: you can redistribute it and/or modify it
00012 under the terms of the GNU Lesser General Public License as published
00013 by the Free Software Foundation, either version 2.1 of the License, or
00014 (at your option) any later version.
00015 
00016 Chaste is distributed in the hope that it will be useful, but WITHOUT
00017 ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
00018 FITNESS FOR A PARTICULAR PURPOSE.  See the GNU Lesser General Public
00019 License for more details. The offer of Chaste under the terms of the
00020 License is subject to the License being interpreted in accordance with
00021 English Law and subject to any action against the University of Oxford
00022 being under the jurisdiction of the English Courts.
00023 
00024 You should have received a copy of the GNU Lesser General Public License
00025 along with Chaste. If not, see <http://www.gnu.org/licenses/>.
00026 
00027 */
00028 
00029 #include <cmath>
00030 #include <ctime>
00031 #include <cstdlib>
00032 #include <cassert>
00033 #include <iostream>
00034 #include <vector>
00035 
00036 #include "RandomNumberGenerator.hpp"
00037 
00038 RandomNumberGenerator* RandomNumberGenerator::mpInstance = NULL;
00039 
00040 RandomNumberGenerator::RandomNumberGenerator()
00041     : mSeed(0),
00042       mTimesCalled(0),
00043       mWorkingMem1(0),
00044       mWorkingMem2(0),
00045       mWorkingMemW(0),
00046       mRandNum2(0),
00047       mUseLastNum(false)
00048 {
00049     assert(mpInstance == NULL); // Ensure correct serialization
00050     srandom(mSeed);
00051 }
00052 
00053 RandomNumberGenerator* RandomNumberGenerator::Instance()
00054 {
00055     if (mpInstance == NULL)
00056     {
00057         mpInstance = new RandomNumberGenerator();
00058     }
00059     return mpInstance;
00060 }
00061 
00062 void RandomNumberGenerator::Destroy()
00063 {
00064     if (mpInstance)
00065     {
00066         delete mpInstance;
00067         mpInstance = NULL;
00068     }
00069 }
00070 
00071 unsigned RandomNumberGenerator::randMod(unsigned base)
00072 {
00073     mTimesCalled++;
00074     return (random()%base);
00075 }
00076 
00077 double RandomNumberGenerator::ranf()
00078 {
00079     mTimesCalled++;
00080     return (double)random() / RAND_MAX;
00081 }
00082 
00083 double RandomNumberGenerator::NormalRandomDeviate(double mean, double sd)
00084 {
00085     return sd * StandardNormalRandomDeviate() + mean;
00086 }
00087 
00088 void RandomNumberGenerator::Reseed(int seed)
00089 {
00090     mSeed = seed;
00091     srandom(mSeed);
00092     mTimesCalled = 0;
00093 }
00094 
00095 void RandomNumberGenerator::Shuffle(unsigned num, std::vector<unsigned>& rValues)
00096 {
00097     rValues.resize(num);
00098     for (unsigned i=0; i<num; i++)
00099     {
00100         rValues[i] = i;
00101     }
00102 
00103     for (unsigned end=num-1; end>0; end--)
00104     {
00105         // Pick a random integer from {0,..,end}
00106         unsigned k = RandomNumberGenerator::Instance()->randMod(end+1);
00107         unsigned temp = rValues[end];
00108         rValues[end] = rValues[k];
00109         rValues[k] = temp;
00110     }
00111 }
00112 
00113 double  RandomNumberGenerator::StandardNormalRandomDeviate()
00114 {
00132     if (mUseLastNum) /* We use value generated at the previous call */
00133     {
00134         mUseLastNum = false;
00135         return mRandNum2;
00136     }
00137     else
00138     {
00139         mUseLastNum = true;
00140         do
00141         {
00142             mWorkingMem1 = 2.0 * this->ranf() - 1.0;
00143             mWorkingMem2 = 2.0 * this->ranf() - 1.0;
00144             mWorkingMemW = mWorkingMem1 * mWorkingMem1 + mWorkingMem2 * mWorkingMem2;
00145         }
00146         while ( mWorkingMemW >= 1.0 );
00147 
00148         mWorkingMemW = sqrt((-2.0*log(mWorkingMemW))/mWorkingMemW);
00149         mRandNum2 = mWorkingMem2*mWorkingMemW;
00150         return mWorkingMem1*mWorkingMemW;
00151     }
00152 }
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