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81 lines
2.4 KiB
C++
81 lines
2.4 KiB
C++
// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra. Eigen itself is part of the KDE project.
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//
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// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
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//
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// Eigen is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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// License as published by the Free Software Foundation; either
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// version 3 of the License, or (at your option) any later version.
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//
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// Alternatively, you can redistribute it and/or
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// modify it under the terms of the GNU General Public License as
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// published by the Free Software Foundation; either version 2 of
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// the License, or (at your option) any later version.
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//
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// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#ifndef EIGEN_SPARSEUTIL_H
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#define EIGEN_SPARSEUTIL_H
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#ifdef NDEBUG
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#define EIGEN_DBG_SPARSE(X)
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#else
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#define EIGEN_DBG_SPARSE(X) X
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#endif
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enum SparseBackend {
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DefaultBackend,
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Taucs,
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Cholmod,
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SuperLU,
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UmfPack
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};
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// solver flags
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enum {
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CompleteFactorization = 0x0000, // the default
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IncompleteFactorization = 0x0001,
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MemoryEfficient = 0x0002,
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// For LLT Cholesky:
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SupernodalMultifrontal = 0x0010,
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SupernodalLeftLooking = 0x0020
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};
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template<typename Derived> class SparseMatrixBase;
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template<typename _Scalar, int _Flags = 0> class SparseMatrix;
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template<typename _Scalar, int _Flags = 0> class HashMatrix;
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template<typename _Scalar, int _Flags = 0> class LinkedVectorMatrix;
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const int AccessPatternNotSupported = 0x0;
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const int AccessPatternSupported = 0x1;
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template<typename MatrixType, int AccessPattern> struct ei_support_access_pattern
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{
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enum { ret = (int(ei_traits<MatrixType>::SupportedAccessPatterns) & AccessPattern) == AccessPattern
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? AccessPatternSupported
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: AccessPatternNotSupported
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};
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};
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template<typename T> class ei_eval<T,IsSparse>
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{
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typedef typename ei_traits<T>::Scalar _Scalar;
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enum {
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_Flags = ei_traits<T>::Flags
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};
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public:
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typedef SparseMatrix<_Scalar, _Flags> type;
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};
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#endif // EIGEN_SPARSEUTIL_H
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