1 | /*************************************************************************** |
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2 | * blitz/rand-normal.h Random Gaussian (Normal) generator |
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3 | * |
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4 | * $Id: rand-normal.h,v 1.4 2003/12/11 03:44:22 julianc Exp $ |
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5 | * |
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6 | * Copyright (C) 1997-2001 Todd Veldhuizen <tveldhui@oonumerics.org> |
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7 | * |
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8 | * This program is free software; you can redistribute it and/or |
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9 | * modify it under the terms of the GNU General Public License |
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10 | * as published by the Free Software Foundation; either version 2 |
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11 | * of the License, or (at your option) any later version. |
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12 | * |
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13 | * This program is distributed in the hope that it will be useful, |
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14 | * but WITHOUT ANY WARRANTY; without even the implied warranty of |
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15 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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16 | * GNU General Public License for more details. |
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17 | * |
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18 | * Suggestions: blitz-dev@oonumerics.org |
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19 | * Bugs: blitz-bugs@oonumerics.org |
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20 | * |
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21 | * For more information, please see the Blitz++ Home Page: |
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22 | * http://oonumerics.org/blitz/ |
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23 | * |
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24 | *************************************************************************** |
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25 | * |
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26 | * This generator transforms a (0,1] uniform distribution into |
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27 | * a Normal distribution. Let u,v be (0,1] random variables. Then |
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28 | * |
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29 | * x = sqrt(-2 ln v) cos(pi (2u-1)) |
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30 | * |
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31 | * is N(0,1) distributed. |
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32 | * |
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33 | * Reference: Athanasios Papoulis, "Probability, random variables, |
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34 | * and stochastic processes," McGraw-Hill : Toronto, 1991. |
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35 | * |
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36 | ***************************************************************************/ |
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37 | |
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38 | #ifndef BZ_RAND_NORMAL_H |
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39 | #define BZ_RAND_NORMAL_H |
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40 | |
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41 | #ifndef BZ_RANDOM_H |
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42 | #include <blitz/random.h> |
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43 | #endif |
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44 | |
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45 | #ifndef BZ_RAND_UNIFORM_H |
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46 | #include <blitz/rand-uniform.h> |
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47 | #endif |
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48 | |
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49 | #include <math.h> |
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50 | |
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51 | BZ_NAMESPACE(blitz) |
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52 | |
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53 | template<typename P_uniform BZ_TEMPLATE_DEFAULT(Uniform)> |
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54 | class Normal { |
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55 | |
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56 | public: |
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57 | typedef double T_numtype; |
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58 | |
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59 | Normal(double mean = 0.0, double variance = 1.0, double = 0.0) |
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60 | : mean_(mean), sigma_(::sqrt(variance)) |
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61 | { |
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62 | } |
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63 | |
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64 | void randomize() |
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65 | { |
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66 | uniform_.randomize(); |
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67 | } |
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68 | |
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69 | double random() |
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70 | { |
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71 | double u, v; |
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72 | |
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73 | do { |
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74 | u = uniform_.random(); |
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75 | v = uniform_.random(); |
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76 | } while (v == 0); |
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77 | |
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78 | return mean_ + sigma_ * ::sqrt(-2*::log(v)) * ::cos(M_PI * (2*u - 1)); |
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79 | } |
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80 | |
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81 | private: |
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82 | double mean_, sigma_; |
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83 | P_uniform uniform_; |
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84 | }; |
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85 | |
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86 | BZ_NAMESPACE_END |
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87 | |
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88 | #endif // BZ_RAND_NORMAL_H |
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89 | |
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