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2.45 kB
| // This file is part of Eigen, a lightweight C++ template library | |
| // for linear algebra. | |
| // | |
| // This Source Code Form is subject to the terms of the Mozilla | |
| // Public License v. 2.0. If a copy of the MPL was not distributed | |
| // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. | |
| #ifndef EIGEN_ORDERINGMETHODS_MODULE_H | |
| #define EIGEN_ORDERINGMETHODS_MODULE_H | |
| #include "SparseCore" | |
| #include "src/Core/util/DisableStupidWarnings.h" | |
| /** | |
| * \defgroup OrderingMethods_Module OrderingMethods module | |
| * | |
| * This module is currently for internal use only | |
| * | |
| * It defines various built-in and external ordering methods for sparse matrices. | |
| * They are typically used to reduce the number of elements during | |
| * the sparse matrix decomposition (LLT, LU, QR). | |
| * Precisely, in a preprocessing step, a permutation matrix P is computed using | |
| * those ordering methods and applied to the columns of the matrix. | |
| * Using for instance the sparse Cholesky decomposition, it is expected that | |
| * the nonzeros elements in LLT(A*P) will be much smaller than that in LLT(A). | |
| * | |
| * | |
| * Usage : | |
| * \code | |
| * #include <Eigen/OrderingMethods> | |
| * \endcode | |
| * | |
| * A simple usage is as a template parameter in the sparse decomposition classes : | |
| * | |
| * \code | |
| * SparseLU<MatrixType, COLAMDOrdering<int> > solver; | |
| * \endcode | |
| * | |
| * \code | |
| * SparseQR<MatrixType, COLAMDOrdering<int> > solver; | |
| * \endcode | |
| * | |
| * It is possible as well to call directly a particular ordering method for your own purpose, | |
| * \code | |
| * AMDOrdering<int> ordering; | |
| * PermutationMatrix<Dynamic, Dynamic, int> perm; | |
| * SparseMatrix<double> A; | |
| * //Fill the matrix ... | |
| * | |
| * ordering(A, perm); // Call AMD | |
| * \endcode | |
| * | |
| * \note Some of these methods (like AMD or METIS), need the sparsity pattern | |
| * of the input matrix to be symmetric. When the matrix is structurally unsymmetric, | |
| * Eigen computes internally the pattern of \f$A^T*A\f$ before calling the method. | |
| * If your matrix is already symmetric (at leat in structure), you can avoid that | |
| * by calling the method with a SelfAdjointView type. | |
| * | |
| * \code | |
| * // Call the ordering on the pattern of the lower triangular matrix A | |
| * ordering(A.selfadjointView<Lower>(), perm); | |
| * \endcode | |
| */ | |
| #include "src/OrderingMethods/Amd.h" | |
| #include "src/OrderingMethods/Ordering.h" | |
| #include "src/Core/util/ReenableStupidWarnings.h" | |
| #endif // EIGEN_ORDERINGMETHODS_MODULE_H | |