A direct sparse LLT Cholesky factorizations. More...
#include <SimplicialCholesky.h>
Public Types | |
enum | { UpLo = _UpLo } |
typedef SimplicialCholeskyBase < SimplicialLLT > | 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 < SimplicialLLT > | Traits |
typedef Matrix< Scalar, Dynamic, 1 > | VectorType |
Public Member Functions | |
void | analyzePattern (const MatrixType &a) |
SimplicialLLT & | compute (const MatrixType &matrix) |
Scalar | determinant () const |
void | factorize (const MatrixType &a) |
const MatrixL | matrixL () const |
const MatrixU | matrixU () const |
SimplicialLLT () | |
SimplicialLLT (const MatrixType &matrix) |
A direct sparse LLT Cholesky factorizations.
This class provides a LL^T Cholesky factorizations 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 301 of file SimplicialCholesky.h.
typedef SimplicialCholeskyBase<SimplicialLLT> Eigen::SimplicialLLT< _MatrixType, _UpLo >::Base |
Definition at line 306 of file SimplicialCholesky.h.
typedef SparseMatrix<Scalar,ColMajor,Index> Eigen::SimplicialLLT< _MatrixType, _UpLo >::CholMatrixType |
Reimplemented from Eigen::SimplicialCholeskyBase< SimplicialLLT< _MatrixType, _UpLo > >.
Definition at line 310 of file SimplicialCholesky.h.
typedef MatrixType::Index Eigen::SimplicialLLT< _MatrixType, _UpLo >::Index |
Reimplemented from Eigen::SimplicialCholeskyBase< SimplicialLLT< _MatrixType, _UpLo > >.
Definition at line 309 of file SimplicialCholesky.h.
typedef Traits::MatrixL Eigen::SimplicialLLT< _MatrixType, _UpLo >::MatrixL |
Definition at line 313 of file SimplicialCholesky.h.
typedef _MatrixType Eigen::SimplicialLLT< _MatrixType, _UpLo >::MatrixType |
Reimplemented from Eigen::SimplicialCholeskyBase< SimplicialLLT< _MatrixType, _UpLo > >.
Definition at line 304 of file SimplicialCholesky.h.
typedef Traits::MatrixU Eigen::SimplicialLLT< _MatrixType, _UpLo >::MatrixU |
Definition at line 314 of file SimplicialCholesky.h.
typedef MatrixType::RealScalar Eigen::SimplicialLLT< _MatrixType, _UpLo >::RealScalar |
Reimplemented from Eigen::SimplicialCholeskyBase< SimplicialLLT< _MatrixType, _UpLo > >.
Definition at line 308 of file SimplicialCholesky.h.
typedef MatrixType::Scalar Eigen::SimplicialLLT< _MatrixType, _UpLo >::Scalar |
Reimplemented from Eigen::SimplicialCholeskyBase< SimplicialLLT< _MatrixType, _UpLo > >.
Definition at line 307 of file SimplicialCholesky.h.
typedef internal::traits<SimplicialLLT> Eigen::SimplicialLLT< _MatrixType, _UpLo >::Traits |
Definition at line 312 of file SimplicialCholesky.h.
typedef Matrix<Scalar,Dynamic,1> Eigen::SimplicialLLT< _MatrixType, _UpLo >::VectorType |
Reimplemented from Eigen::SimplicialCholeskyBase< SimplicialLLT< _MatrixType, _UpLo > >.
Definition at line 311 of file SimplicialCholesky.h.
anonymous enum |
Definition at line 305 of file SimplicialCholesky.h.
Eigen::SimplicialLLT< _MatrixType, _UpLo >::SimplicialLLT | ( | ) | [inline] |
Default constructor
Definition at line 317 of file SimplicialCholesky.h.
Eigen::SimplicialLLT< _MatrixType, _UpLo >::SimplicialLLT | ( | const MatrixType & | matrix | ) | [inline] |
Constructs and performs the LLT factorization of matrix
Definition at line 319 of file SimplicialCholesky.h.
void Eigen::SimplicialLLT< _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 347 of file SimplicialCholesky.h.
SimplicialLLT& Eigen::SimplicialLLT< _MatrixType, _UpLo >::compute | ( | const MatrixType & | matrix | ) | [inline] |
Computes the sparse Cholesky decomposition of matrix
Reimplemented from Eigen::SimplicialCholeskyBase< SimplicialLLT< _MatrixType, _UpLo > >.
Definition at line 335 of file SimplicialCholesky.h.
Scalar Eigen::SimplicialLLT< _MatrixType, _UpLo >::determinant | ( | ) | const [inline] |
Definition at line 364 of file SimplicialCholesky.h.
void Eigen::SimplicialLLT< _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< SimplicialLLT< _MatrixType, _UpLo > >.
Definition at line 358 of file SimplicialCholesky.h.
const MatrixL Eigen::SimplicialLLT< _MatrixType, _UpLo >::matrixL | ( | ) | const [inline] |
Definition at line 323 of file SimplicialCholesky.h.
const MatrixU Eigen::SimplicialLLT< _MatrixType, _UpLo >::matrixU | ( | ) | const [inline] |
Definition at line 329 of file SimplicialCholesky.h.