| 1 | // This file is part of Eigen, a lightweight C++ template library | 
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| 2 | // for linear algebra. | 
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| 3 | // | 
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| 4 | // Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr> | 
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| 5 | // | 
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| 6 | // This Source Code Form is subject to the terms of the Mozilla | 
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| 7 | // Public License v. 2.0. If a copy of the MPL was not distributed | 
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| 8 | // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. | 
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| 9 |  | 
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| 10 | #ifndef EIGEN_SPARSETRIANGULARSOLVER_H | 
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| 11 | #define EIGEN_SPARSETRIANGULARSOLVER_H | 
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| 12 |  | 
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| 13 | namespace Eigen { | 
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| 14 |  | 
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| 15 | namespace internal { | 
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| 16 |  | 
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| 17 | template<typename Lhs, typename Rhs, int Mode, | 
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| 18 | int UpLo = (Mode & Lower) | 
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| 19 | ? Lower | 
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| 20 | : (Mode & Upper) | 
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| 21 | ? Upper | 
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| 22 | : -1, | 
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| 23 | int StorageOrder = int(traits<Lhs>::Flags) & RowMajorBit> | 
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| 24 | struct sparse_solve_triangular_selector; | 
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| 25 |  | 
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| 26 | // forward substitution, row-major | 
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| 27 | template<typename Lhs, typename Rhs, int Mode> | 
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| 28 | struct sparse_solve_triangular_selector<Lhs,Rhs,Mode,Lower,RowMajor> | 
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| 29 | { | 
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| 30 | typedef typename Rhs::Scalar Scalar; | 
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| 31 | typedef evaluator<Lhs> LhsEval; | 
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| 32 | typedef typename evaluator<Lhs>::InnerIterator LhsIterator; | 
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| 33 | static void run(const Lhs& lhs, Rhs& other) | 
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| 34 | { | 
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| 35 | LhsEval lhsEval(lhs); | 
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| 36 | for(Index col=0 ; col<other.cols() ; ++col) | 
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| 37 | { | 
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| 38 | for(Index i=0; i<lhs.rows(); ++i) | 
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| 39 | { | 
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| 40 | Scalar tmp = other.coeff(i,col); | 
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| 41 | Scalar lastVal(0); | 
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| 42 | Index lastIndex = 0; | 
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| 43 | for(LhsIterator it(lhsEval, i); it; ++it) | 
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| 44 | { | 
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| 45 | lastVal = it.value(); | 
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| 46 | lastIndex = it.index(); | 
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| 47 | if(lastIndex==i) | 
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| 48 | break; | 
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| 49 | tmp -= lastVal * other.coeff(lastIndex,col); | 
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| 50 | } | 
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| 51 | if (Mode & UnitDiag) | 
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| 52 | other.coeffRef(i,col) = tmp; | 
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| 53 | else | 
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| 54 | { | 
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| 55 | eigen_assert(lastIndex==i); | 
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| 56 | other.coeffRef(i,col) = tmp/lastVal; | 
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| 57 | } | 
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| 58 | } | 
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| 59 | } | 
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| 60 | } | 
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| 61 | }; | 
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| 62 |  | 
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| 63 | // backward substitution, row-major | 
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| 64 | template<typename Lhs, typename Rhs, int Mode> | 
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| 65 | struct sparse_solve_triangular_selector<Lhs,Rhs,Mode,Upper,RowMajor> | 
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| 66 | { | 
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| 67 | typedef typename Rhs::Scalar Scalar; | 
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| 68 | typedef evaluator<Lhs> LhsEval; | 
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| 69 | typedef typename evaluator<Lhs>::InnerIterator LhsIterator; | 
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| 70 | static void run(const Lhs& lhs, Rhs& other) | 
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| 71 | { | 
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| 72 | LhsEval lhsEval(lhs); | 
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| 73 | for(Index col=0 ; col<other.cols() ; ++col) | 
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| 74 | { | 
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| 75 | for(Index i=lhs.rows()-1 ; i>=0 ; --i) | 
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| 76 | { | 
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| 77 | Scalar tmp = other.coeff(i,col); | 
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| 78 | Scalar l_ii(0); | 
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| 79 | LhsIterator it(lhsEval, i); | 
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| 80 | while(it && it.index()<i) | 
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| 81 | ++it; | 
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| 82 | if(!(Mode & UnitDiag)) | 
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| 83 | { | 
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| 84 | eigen_assert(it && it.index()==i); | 
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| 85 | l_ii = it.value(); | 
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| 86 | ++it; | 
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| 87 | } | 
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| 88 | else if (it && it.index() == i) | 
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| 89 | ++it; | 
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| 90 | for(; it; ++it) | 
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| 91 | { | 
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| 92 | tmp -= it.value() * other.coeff(it.index(),col); | 
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| 93 | } | 
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| 94 |  | 
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| 95 | if (Mode & UnitDiag)  other.coeffRef(i,col) = tmp; | 
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| 96 | else                  other.coeffRef(i,col) = tmp/l_ii; | 
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| 97 | } | 
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| 98 | } | 
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| 99 | } | 
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| 100 | }; | 
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| 101 |  | 
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| 102 | // forward substitution, col-major | 
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| 103 | template<typename Lhs, typename Rhs, int Mode> | 
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| 104 | struct sparse_solve_triangular_selector<Lhs,Rhs,Mode,Lower,ColMajor> | 
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| 105 | { | 
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| 106 | typedef typename Rhs::Scalar Scalar; | 
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| 107 | typedef evaluator<Lhs> LhsEval; | 
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| 108 | typedef typename evaluator<Lhs>::InnerIterator LhsIterator; | 
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| 109 | static void run(const Lhs& lhs, Rhs& other) | 
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| 110 | { | 
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| 111 | LhsEval lhsEval(lhs); | 
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| 112 | for(Index col=0 ; col<other.cols() ; ++col) | 
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| 113 | { | 
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| 114 | for(Index i=0; i<lhs.cols(); ++i) | 
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| 115 | { | 
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| 116 | Scalar& tmp = other.coeffRef(i,col); | 
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| 117 | if (tmp!=Scalar(0)) // optimization when other is actually sparse | 
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| 118 | { | 
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| 119 | LhsIterator it(lhsEval, i); | 
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| 120 | while(it && it.index()<i) | 
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| 121 | ++it; | 
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| 122 | if(!(Mode & UnitDiag)) | 
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| 123 | { | 
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| 124 | eigen_assert(it && it.index()==i); | 
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| 125 | tmp /= it.value(); | 
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| 126 | } | 
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| 127 | if (it && it.index()==i) | 
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| 128 | ++it; | 
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| 129 | for(; it; ++it) | 
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| 130 | other.coeffRef(it.index(), col) -= tmp * it.value(); | 
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| 131 | } | 
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| 132 | } | 
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| 133 | } | 
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| 134 | } | 
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| 135 | }; | 
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| 136 |  | 
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| 137 | // backward substitution, col-major | 
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| 138 | template<typename Lhs, typename Rhs, int Mode> | 
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| 139 | struct sparse_solve_triangular_selector<Lhs,Rhs,Mode,Upper,ColMajor> | 
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| 140 | { | 
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| 141 | typedef typename Rhs::Scalar Scalar; | 
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| 142 | typedef evaluator<Lhs> LhsEval; | 
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| 143 | typedef typename evaluator<Lhs>::InnerIterator LhsIterator; | 
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| 144 | static void run(const Lhs& lhs, Rhs& other) | 
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| 145 | { | 
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| 146 | LhsEval lhsEval(lhs); | 
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| 147 | for(Index col=0 ; col<other.cols() ; ++col) | 
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| 148 | { | 
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| 149 | for(Index i=lhs.cols()-1; i>=0; --i) | 
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| 150 | { | 
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| 151 | Scalar& tmp = other.coeffRef(i,col); | 
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| 152 | if (tmp!=Scalar(0)) // optimization when other is actually sparse | 
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| 153 | { | 
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| 154 | if(!(Mode & UnitDiag)) | 
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| 155 | { | 
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| 156 | // TODO replace this by a binary search. make sure the binary search is safe for partially sorted elements | 
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| 157 | LhsIterator it(lhsEval, i); | 
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| 158 | while(it && it.index()!=i) | 
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| 159 | ++it; | 
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| 160 | eigen_assert(it && it.index()==i); | 
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| 161 | other.coeffRef(i,col) /= it.value(); | 
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| 162 | } | 
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| 163 | LhsIterator it(lhsEval, i); | 
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| 164 | for(; it && it.index()<i; ++it) | 
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| 165 | other.coeffRef(it.index(), col) -= tmp * it.value(); | 
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| 166 | } | 
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| 167 | } | 
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| 168 | } | 
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| 169 | } | 
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| 170 | }; | 
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| 171 |  | 
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| 172 | } // end namespace internal | 
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| 173 |  | 
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| 174 | #ifndef EIGEN_PARSED_BY_DOXYGEN | 
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| 175 |  | 
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| 176 | template<typename ExpressionType,unsigned int Mode> | 
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| 177 | template<typename OtherDerived> | 
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| 178 | void TriangularViewImpl<ExpressionType,Mode,Sparse>::solveInPlace(MatrixBase<OtherDerived>& other) const | 
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| 179 | { | 
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| 180 | eigen_assert(derived().cols() == derived().rows() && derived().cols() == other.rows()); | 
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| 181 | eigen_assert((!(Mode & ZeroDiag)) && bool(Mode & (Upper|Lower))); | 
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| 182 |  | 
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| 183 | enum { copy = internal::traits<OtherDerived>::Flags & RowMajorBit }; | 
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| 184 |  | 
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| 185 | typedef typename internal::conditional<copy, | 
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| 186 | typename internal::plain_matrix_type_column_major<OtherDerived>::type, OtherDerived&>::type OtherCopy; | 
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| 187 | OtherCopy otherCopy(other.derived()); | 
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| 188 |  | 
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| 189 | internal::sparse_solve_triangular_selector<ExpressionType, typename internal::remove_reference<OtherCopy>::type, Mode>::run(derived().nestedExpression(), otherCopy); | 
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| 190 |  | 
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| 191 | if (copy) | 
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| 192 | other = otherCopy; | 
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| 193 | } | 
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| 194 | #endif | 
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| 195 |  | 
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| 196 | // pure sparse path | 
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| 197 |  | 
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| 198 | namespace internal { | 
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| 199 |  | 
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| 200 | template<typename Lhs, typename Rhs, int Mode, | 
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| 201 | int UpLo = (Mode & Lower) | 
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| 202 | ? Lower | 
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| 203 | : (Mode & Upper) | 
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| 204 | ? Upper | 
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| 205 | : -1, | 
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| 206 | int StorageOrder = int(Lhs::Flags) & (RowMajorBit)> | 
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| 207 | struct sparse_solve_triangular_sparse_selector; | 
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| 208 |  | 
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| 209 | // forward substitution, col-major | 
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| 210 | template<typename Lhs, typename Rhs, int Mode, int UpLo> | 
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| 211 | struct sparse_solve_triangular_sparse_selector<Lhs,Rhs,Mode,UpLo,ColMajor> | 
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| 212 | { | 
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| 213 | typedef typename Rhs::Scalar Scalar; | 
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| 214 | typedef typename promote_index_type<typename traits<Lhs>::StorageIndex, | 
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| 215 | typename traits<Rhs>::StorageIndex>::type StorageIndex; | 
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| 216 | static void run(const Lhs& lhs, Rhs& other) | 
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| 217 | { | 
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| 218 | const bool IsLower = (UpLo==Lower); | 
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| 219 | AmbiVector<Scalar,StorageIndex> tempVector(other.rows()*2); | 
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| 220 | tempVector.setBounds(0,other.rows()); | 
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| 221 |  | 
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| 222 | Rhs res(other.rows(), other.cols()); | 
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| 223 | res.reserve(other.nonZeros()); | 
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| 224 |  | 
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| 225 | for(Index col=0 ; col<other.cols() ; ++col) | 
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| 226 | { | 
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| 227 | // FIXME estimate number of non zeros | 
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| 228 | tempVector.init(.99/*float(other.col(col).nonZeros())/float(other.rows())*/); | 
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| 229 | tempVector.setZero(); | 
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| 230 | tempVector.restart(); | 
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| 231 | for (typename Rhs::InnerIterator rhsIt(other, col); rhsIt; ++rhsIt) | 
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| 232 | { | 
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| 233 | tempVector.coeffRef(rhsIt.index()) = rhsIt.value(); | 
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| 234 | } | 
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| 235 |  | 
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| 236 | for(Index i=IsLower?0:lhs.cols()-1; | 
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| 237 | IsLower?i<lhs.cols():i>=0; | 
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| 238 | i+=IsLower?1:-1) | 
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| 239 | { | 
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| 240 | tempVector.restart(); | 
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| 241 | Scalar& ci = tempVector.coeffRef(i); | 
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| 242 | if (ci!=Scalar(0)) | 
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| 243 | { | 
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| 244 | // find | 
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| 245 | typename Lhs::InnerIterator it(lhs, i); | 
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| 246 | if(!(Mode & UnitDiag)) | 
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| 247 | { | 
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| 248 | if (IsLower) | 
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| 249 | { | 
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| 250 | eigen_assert(it.index()==i); | 
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| 251 | ci /= it.value(); | 
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| 252 | } | 
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| 253 | else | 
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| 254 | ci /= lhs.coeff(i,i); | 
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| 255 | } | 
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| 256 | tempVector.restart(); | 
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| 257 | if (IsLower) | 
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| 258 | { | 
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| 259 | if (it.index()==i) | 
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| 260 | ++it; | 
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| 261 | for(; it; ++it) | 
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| 262 | tempVector.coeffRef(it.index()) -= ci * it.value(); | 
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| 263 | } | 
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| 264 | else | 
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| 265 | { | 
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| 266 | for(; it && it.index()<i; ++it) | 
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| 267 | tempVector.coeffRef(it.index()) -= ci * it.value(); | 
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| 268 | } | 
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| 269 | } | 
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| 270 | } | 
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| 271 |  | 
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| 272 |  | 
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| 273 | Index count = 0; | 
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| 274 | // FIXME compute a reference value to filter zeros | 
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| 275 | for (typename AmbiVector<Scalar,StorageIndex>::Iterator it(tempVector/*,1e-12*/); it; ++it) | 
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| 276 | { | 
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| 277 | ++ count; | 
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| 278 | //         std::cerr << "fill " << it.index() << ", " << col << "\n"; | 
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| 279 | //         std::cout << it.value() << "  "; | 
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| 280 | // FIXME use insertBack | 
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| 281 | res.insert(it.index(), col) = it.value(); | 
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| 282 | } | 
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| 283 | //       std::cout << "tempVector.nonZeros() == " << int(count) << " / " << (other.rows()) << "\n"; | 
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| 284 | } | 
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| 285 | res.finalize(); | 
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| 286 | other = res.markAsRValue(); | 
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| 287 | } | 
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| 288 | }; | 
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| 289 |  | 
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| 290 | } // end namespace internal | 
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| 291 |  | 
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| 292 | #ifndef EIGEN_PARSED_BY_DOXYGEN | 
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| 293 | template<typename ExpressionType,unsigned int Mode> | 
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| 294 | template<typename OtherDerived> | 
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| 295 | void TriangularViewImpl<ExpressionType,Mode,Sparse>::solveInPlace(SparseMatrixBase<OtherDerived>& other) const | 
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| 296 | { | 
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| 297 | eigen_assert(derived().cols() == derived().rows() && derived().cols() == other.rows()); | 
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| 298 | eigen_assert( (!(Mode & ZeroDiag)) && bool(Mode & (Upper|Lower))); | 
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| 299 |  | 
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| 300 | //   enum { copy = internal::traits<OtherDerived>::Flags & RowMajorBit }; | 
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| 301 |  | 
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| 302 | //   typedef typename internal::conditional<copy, | 
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| 303 | //     typename internal::plain_matrix_type_column_major<OtherDerived>::type, OtherDerived&>::type OtherCopy; | 
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| 304 | //   OtherCopy otherCopy(other.derived()); | 
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| 305 |  | 
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| 306 | internal::sparse_solve_triangular_sparse_selector<ExpressionType, OtherDerived, Mode>::run(derived().nestedExpression(), other.derived()); | 
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| 307 |  | 
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| 308 | //   if (copy) | 
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| 309 | //     other = otherCopy; | 
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| 310 | } | 
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| 311 | #endif | 
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| 312 |  | 
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| 313 | } // end namespace Eigen | 
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| 314 |  | 
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| 315 | #endif // EIGEN_SPARSETRIANGULARSOLVER_H | 
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| 316 |  | 
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