A direct sparse LDLT Cholesky factorizations without square root. More...
#include <SimplicialCholesky.h>
Public Types | |
enum | { UpLo = _UpLo } |
typedef SimplicialCholeskyBase < SimplicialLDLT > | Base |
typedef SparseMatrix< Scalar, ColMajor, Index > | CholMatrixType |
typedef MatrixType::Index | Index |
typedef Traits::MatrixL | MatrixL |
typedef _MatrixType | MatrixType |
typedef Traits::MatrixU | MatrixU |
typedef MatrixType::RealScalar | RealScalar |
typedef MatrixType::Scalar | Scalar |
typedef internal::traits < SimplicialLDLT > | Traits |
typedef Matrix< Scalar, Dynamic, 1 > | VectorType |
Public Member Functions | |
void | analyzePattern (const MatrixType &a) |
SimplicialLDLT & | compute (const MatrixType &matrix) |
Scalar | determinant () const |
void | factorize (const MatrixType &a) |
const MatrixL | matrixL () const |
const MatrixU | matrixU () const |
SimplicialLDLT () | |
SimplicialLDLT (const MatrixType &matrix) | |
const VectorType | vectorD () const |
A direct sparse LDLT Cholesky factorizations without square root.
This class provides a LDL^T Cholesky factorizations without square root of sparse matrices that are selfadjoint and positive definite. The factorization allows for solving A.X = B where X and B can be either dense or sparse.
In order to reduce the fill-in, a symmetric permutation P is applied prior to the factorization such that the factorized matrix is P A P^-1.
_MatrixType | the type of the sparse matrix A, it must be a SparseMatrix<> |
_UpLo | the triangular part that will be used for the computations. It can be Lower or Upper. Default is Lower. |
Definition at line 450 of file SimplicialCholesky.h.
typedef SimplicialCholeskyBase<SimplicialLDLT> Eigen::SimplicialLDLT< _MatrixType, _UpLo >::Base |
Definition at line 455 of file SimplicialCholesky.h.
typedef SparseMatrix<Scalar,ColMajor,Index> Eigen::SimplicialLDLT< _MatrixType, _UpLo >::CholMatrixType |
Reimplemented from Eigen::SimplicialCholeskyBase< SimplicialLDLT< _MatrixType, _UpLo > >.
Definition at line 459 of file SimplicialCholesky.h.
typedef MatrixType::Index Eigen::SimplicialLDLT< _MatrixType, _UpLo >::Index |
Reimplemented from Eigen::SimplicialCholeskyBase< SimplicialLDLT< _MatrixType, _UpLo > >.
Definition at line 458 of file SimplicialCholesky.h.
typedef Traits::MatrixL Eigen::SimplicialLDLT< _MatrixType, _UpLo >::MatrixL |
Definition at line 462 of file SimplicialCholesky.h.
typedef _MatrixType Eigen::SimplicialLDLT< _MatrixType, _UpLo >::MatrixType |
Reimplemented from Eigen::SimplicialCholeskyBase< SimplicialLDLT< _MatrixType, _UpLo > >.
Definition at line 453 of file SimplicialCholesky.h.
typedef Traits::MatrixU Eigen::SimplicialLDLT< _MatrixType, _UpLo >::MatrixU |
Definition at line 463 of file SimplicialCholesky.h.
typedef MatrixType::RealScalar Eigen::SimplicialLDLT< _MatrixType, _UpLo >::RealScalar |
Reimplemented from Eigen::SimplicialCholeskyBase< SimplicialLDLT< _MatrixType, _UpLo > >.
Definition at line 457 of file SimplicialCholesky.h.
typedef MatrixType::Scalar Eigen::SimplicialLDLT< _MatrixType, _UpLo >::Scalar |
Reimplemented from Eigen::SimplicialCholeskyBase< SimplicialLDLT< _MatrixType, _UpLo > >.
Definition at line 456 of file SimplicialCholesky.h.
typedef internal::traits<SimplicialLDLT> Eigen::SimplicialLDLT< _MatrixType, _UpLo >::Traits |
Definition at line 461 of file SimplicialCholesky.h.
typedef Matrix<Scalar,Dynamic,1> Eigen::SimplicialLDLT< _MatrixType, _UpLo >::VectorType |
Reimplemented from Eigen::SimplicialCholeskyBase< SimplicialLDLT< _MatrixType, _UpLo > >.
Definition at line 460 of file SimplicialCholesky.h.
anonymous enum |
Definition at line 454 of file SimplicialCholesky.h.
Eigen::SimplicialLDLT< _MatrixType, _UpLo >::SimplicialLDLT | ( | ) | [inline] |
Default constructor
Definition at line 466 of file SimplicialCholesky.h.
Eigen::SimplicialLDLT< _MatrixType, _UpLo >::SimplicialLDLT | ( | const MatrixType & | matrix | ) | [inline] |
Constructs and performs the LLT factorization of matrix
Definition at line 469 of file SimplicialCholesky.h.
void Eigen::SimplicialLDLT< _MatrixType, _UpLo >::analyzePattern | ( | const MatrixType & | a | ) | [inline] |
Performs a symbolic decomposition on the sparcity of matrix.
This function is particularly useful when solving for several problems having the same structure.
Definition at line 502 of file SimplicialCholesky.h.
SimplicialLDLT& Eigen::SimplicialLDLT< _MatrixType, _UpLo >::compute | ( | const MatrixType & | matrix | ) | [inline] |
Computes the sparse Cholesky decomposition of matrix
Reimplemented from Eigen::SimplicialCholeskyBase< SimplicialLDLT< _MatrixType, _UpLo > >.
Definition at line 490 of file SimplicialCholesky.h.
Scalar Eigen::SimplicialLDLT< _MatrixType, _UpLo >::determinant | ( | ) | const [inline] |
Definition at line 519 of file SimplicialCholesky.h.
void Eigen::SimplicialLDLT< _MatrixType, _UpLo >::factorize | ( | const MatrixType & | a | ) | [inline] |
Performs a numeric decomposition of matrix
The given matrix must has the same sparcity than the matrix on which the symbolic decomposition has been performed.
Reimplemented from Eigen::SimplicialCholeskyBase< SimplicialLDLT< _MatrixType, _UpLo > >.
Definition at line 513 of file SimplicialCholesky.h.
const MatrixL Eigen::SimplicialLDLT< _MatrixType, _UpLo >::matrixL | ( | ) | const [inline] |
Definition at line 478 of file SimplicialCholesky.h.
const MatrixU Eigen::SimplicialLDLT< _MatrixType, _UpLo >::matrixU | ( | ) | const [inline] |
Definition at line 484 of file SimplicialCholesky.h.
const VectorType Eigen::SimplicialLDLT< _MatrixType, _UpLo >::vectorD | ( | ) | const [inline] |
Definition at line 473 of file SimplicialCholesky.h.