diff options
author | xiangzhou | 2015-07-11 13:05:26 -0400 |
---|---|---|
committer | xiangzhou | 2015-07-11 13:05:26 -0400 |
commit | c65902a4e062689f03bb22e3b2d2526cf887750d (patch) | |
tree | eb1be445e26178efb98d960617355b9c86a30b65 /src/Eigen/OrderingMethods | |
parent | b3b491cd9143d33bfebd4c5b26629573afcf0970 (diff) | |
download | pangemma-c65902a4e062689f03bb22e3b2d2526cf887750d.tar.gz |
add GXE test
Diffstat (limited to 'src/Eigen/OrderingMethods')
-rw-r--r-- | src/Eigen/OrderingMethods | 66 |
1 files changed, 66 insertions, 0 deletions
diff --git a/src/Eigen/OrderingMethods b/src/Eigen/OrderingMethods new file mode 100644 index 0000000..7c0f1ff --- /dev/null +++ b/src/Eigen/OrderingMethods @@ -0,0 +1,66 @@ +#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 + */ + +#ifndef EIGEN_MPL2_ONLY +#include "src/OrderingMethods/Amd.h" +#endif + +#include "src/OrderingMethods/Ordering.h" +#include "src/Core/util/ReenableStupidWarnings.h" + +#endif // EIGEN_ORDERINGMETHODS_MODULE_H |