• Home
  • Line#
  • Scopes#
  • Navigate#
  • Raw
  • Download
1// This file is part of Eigen, a lightweight C++ template library
2// for linear algebra.
3//
4// This Source Code Form is subject to the terms of the Mozilla
5// Public License v. 2.0. If a copy of the MPL was not distributed
6// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
7
8#ifndef EIGEN_ORDERINGMETHODS_MODULE_H
9#define EIGEN_ORDERINGMETHODS_MODULE_H
10
11#include "SparseCore"
12
13#include "src/Core/util/DisableStupidWarnings.h"
14
15/**
16  * \defgroup OrderingMethods_Module OrderingMethods module
17  *
18  * This module is currently for internal use only
19  *
20  * It defines various built-in and external ordering methods for sparse matrices.
21  * They are typically used to reduce the number of elements during
22  * the sparse matrix decomposition (LLT, LU, QR).
23  * Precisely, in a preprocessing step, a permutation matrix P is computed using
24  * those ordering methods and applied to the columns of the matrix.
25  * Using for instance the sparse Cholesky decomposition, it is expected that
26  * the nonzeros elements in LLT(A*P) will be much smaller than that in LLT(A).
27  *
28  *
29  * Usage :
30  * \code
31  * #include <Eigen/OrderingMethods>
32  * \endcode
33  *
34  * A simple usage is as a template parameter in the sparse decomposition classes :
35  *
36  * \code
37  * SparseLU<MatrixType, COLAMDOrdering<int> > solver;
38  * \endcode
39  *
40  * \code
41  * SparseQR<MatrixType, COLAMDOrdering<int> > solver;
42  * \endcode
43  *
44  * It is possible as well to call directly a particular ordering method for your own purpose,
45  * \code
46  * AMDOrdering<int> ordering;
47  * PermutationMatrix<Dynamic, Dynamic, int> perm;
48  * SparseMatrix<double> A;
49  * //Fill the matrix ...
50  *
51  * ordering(A, perm); // Call AMD
52  * \endcode
53  *
54  * \note Some of these methods (like AMD or METIS), need the sparsity pattern
55  * of the input matrix to be symmetric. When the matrix is structurally unsymmetric,
56  * Eigen computes internally the pattern of \f$A^T*A\f$ before calling the method.
57  * If your matrix is already symmetric (at leat in structure), you can avoid that
58  * by calling the method with a SelfAdjointView type.
59  *
60  * \code
61  *  // Call the ordering on the pattern of the lower triangular matrix A
62  * ordering(A.selfadjointView<Lower>(), perm);
63  * \endcode
64  */
65
66#ifndef EIGEN_MPL2_ONLY
67#include "src/OrderingMethods/Amd.h"
68#endif
69
70#include "src/OrderingMethods/Ordering.h"
71#include "src/Core/util/ReenableStupidWarnings.h"
72
73#endif // EIGEN_ORDERINGMETHODS_MODULE_H
74