1 | // $Id: SVD.cc 1478 2008-09-06 18:55:46Z peter $ |
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2 | |
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3 | /* |
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4 | Copyright (C) 2003 Daniel Dalevi |
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5 | Copyright (C) 2004 Jari Häkkinen |
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6 | Copyright (C) 2005 Jari Häkkinen, Peter Johansson |
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7 | Copyright (C) 2006 Jari Häkkinen |
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8 | Copyright (C) 2007 Jari Häkkinen, Peter Johansson |
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9 | Copyright (C) 2008 Peter Johansson |
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10 | |
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11 | This file is part of the yat library, http://dev.thep.lu.se/yat |
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12 | |
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13 | The yat library is free software; you can redistribute it and/or |
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14 | modify it under the terms of the GNU General Public License as |
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15 | published by the Free Software Foundation; either version 2 of the |
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16 | License, or (at your option) any later version. |
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17 | |
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18 | The yat library is distributed in the hope that it will be useful, |
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19 | but WITHOUT ANY WARRANTY; without even the implied warranty of |
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20 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU |
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21 | General Public License for more details. |
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22 | |
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23 | You should have received a copy of the GNU General Public License |
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24 | along with this program; if not, write to the Free Software |
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25 | Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA |
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26 | 02111-1307, USA. |
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27 | */ |
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28 | |
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29 | #include "SVD.h" |
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30 | #include "Vector.h" |
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31 | #include "VectorBase.h" |
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32 | |
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33 | #include <cassert> |
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34 | #include <sstream> |
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35 | |
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36 | namespace theplu { |
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37 | namespace yat { |
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38 | namespace utility { |
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39 | |
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40 | |
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41 | SVD::SVD(const utility::Matrix& Ain) |
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42 | : U_(Ain), V_(Ain.columns(),Ain.columns()), s_(Ain.columns()) |
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43 | { |
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44 | } |
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45 | |
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46 | |
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47 | SVD::~SVD(void) |
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48 | { |
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49 | } |
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50 | |
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51 | |
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52 | void SVD::decompose(SVDalgorithm algo) |
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53 | { |
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54 | assert(U_.rows()>=U_.columns()); |
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55 | int status=0; |
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56 | switch (algo) { |
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57 | case GolubReinsch: |
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58 | status=golub_reinsch(); |
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59 | break; |
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60 | case ModifiedGolubReinsch: |
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61 | status=modified_golub_reinsch(); |
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62 | break; |
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63 | case Jacobi: |
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64 | status=jacobi(); |
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65 | break; |
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66 | default: |
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67 | std::stringstream ss("SVD::decompose "); |
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68 | ss << algo << " is not a valid SVDalgorithm"; |
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69 | throw GSL_error(ss.str()); |
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70 | } |
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71 | if (status) |
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72 | throw utility::GSL_error(std::string("SVD::decompose",status)); |
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73 | } |
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74 | |
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75 | |
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76 | int SVD::golub_reinsch(void) |
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77 | { |
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78 | utility::Vector w(U_.columns()); |
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79 | return gsl_linalg_SV_decomp(U_.gsl_matrix_p(), V_.gsl_matrix_p(), |
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80 | s_.gsl_vector_p(), w.gsl_vector_p()); |
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81 | } |
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82 | |
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83 | |
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84 | int SVD::jacobi(void) |
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85 | { |
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86 | return gsl_linalg_SV_decomp_jacobi(U_.gsl_matrix_p(), V_.gsl_matrix_p(), |
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87 | s_.gsl_vector_p()); |
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88 | } |
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89 | |
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90 | |
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91 | int SVD::modified_golub_reinsch(void) |
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92 | { |
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93 | utility::Vector w(U_.columns()); |
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94 | utility::Matrix X(U_.columns(),U_.columns()); |
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95 | return gsl_linalg_SV_decomp_mod(U_.gsl_matrix_p(), X.gsl_matrix_p(), |
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96 | V_.gsl_matrix_p(), s_.gsl_vector_p(), |
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97 | w.gsl_vector_p()); |
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98 | } |
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99 | |
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100 | |
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101 | const utility::Vector& SVD::s(void) const |
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102 | { |
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103 | return s_; |
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104 | } |
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105 | |
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106 | |
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107 | void SVD::solve(const utility::VectorBase& b, utility::Vector& x) |
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108 | { |
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109 | int status=gsl_linalg_SV_solve(U_.gsl_matrix_p(), V_.gsl_matrix_p(), |
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110 | s_.gsl_vector_p(), b.gsl_vector_p(), |
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111 | x.gsl_vector_p()); |
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112 | if (status) |
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113 | throw utility::GSL_error(std::string("SVD::solve",status)); |
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114 | } |
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115 | |
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116 | |
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117 | const utility::Matrix& SVD::U(void) const |
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118 | { |
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119 | return U_; |
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120 | } |
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121 | |
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122 | |
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123 | const utility::Matrix& SVD::V(void) const |
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124 | { |
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125 | return V_; |
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126 | } |
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127 | |
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128 | }}} // of namespace utility, yat, and theplu |
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