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							73 lines
						
					
					
						
							2.4 KiB
						
					
					
				| // This file is part of Eigen, a lightweight C++ template library
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| // for linear algebra.
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| //
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| // This Source Code Form is subject to the terms of the Mozilla
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| // Public License v. 2.0. If a copy of the MPL was not distributed
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| // with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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| 
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| #ifndef EIGEN_ORDERINGMETHODS_MODULE_H
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| #define EIGEN_ORDERINGMETHODS_MODULE_H
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| 
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| #include "SparseCore"
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| 
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| #include "src/Core/util/DisableStupidWarnings.h"
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| 
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| /** 
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|   * \defgroup OrderingMethods_Module OrderingMethods module
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|   *
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|   * This module is currently for internal use only
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|   * 
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|   * It defines various built-in and external ordering methods for sparse matrices. 
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|   * They are typically used to reduce the number of elements during 
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|   * the sparse matrix decomposition (LLT, LU, QR).
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|   * Precisely, in a preprocessing step, a permutation matrix P is computed using 
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|   * those ordering methods and applied to the columns of the matrix. 
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|   * Using for instance the sparse Cholesky decomposition, it is expected that 
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|   * the nonzeros elements in LLT(A*P) will be much smaller than that in LLT(A).
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|   * 
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|   * 
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|   * Usage : 
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|   * \code
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|   * #include <Eigen/OrderingMethods>
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|   * \endcode
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|   * 
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|   * A simple usage is as a template parameter in the sparse decomposition classes : 
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|   * 
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|   * \code 
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|   * SparseLU<MatrixType, COLAMDOrdering<int> > solver;
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|   * \endcode 
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|   * 
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|   * \code 
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|   * SparseQR<MatrixType, COLAMDOrdering<int> > solver;
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|   * \endcode
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|   * 
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|   * It is possible as well to call directly a particular ordering method for your own purpose, 
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|   * \code 
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|   * AMDOrdering<int> ordering;
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|   * PermutationMatrix<Dynamic, Dynamic, int> perm;
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|   * SparseMatrix<double> A; 
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|   * //Fill the matrix ...
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|   * 
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|   * ordering(A, perm); // Call AMD
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|   * \endcode
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|   * 
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|   * \note Some of these methods (like AMD or METIS), need the sparsity pattern 
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|   * of the input matrix to be symmetric. When the matrix is structurally unsymmetric, 
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|   * Eigen computes internally the pattern of \f$A^T*A\f$ before calling the method.
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|   * If your matrix is already symmetric (at leat in structure), you can avoid that
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|   * by calling the method with a SelfAdjointView type.
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|   * 
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|   * \code
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|   *  // Call the ordering on the pattern of the lower triangular matrix A
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|   * ordering(A.selfadjointView<Lower>(), perm);
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|   * \endcode
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|   */
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| 
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| #ifndef EIGEN_MPL2_ONLY
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| #include "src/OrderingMethods/Amd.h"
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| #endif
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| 
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| #include "src/OrderingMethods/Ordering.h"
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| #include "src/Core/util/ReenableStupidWarnings.h"
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| 
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| #endif // EIGEN_ORDERINGMETHODS_MODULE_H
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| 
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