A Cholesky factorization and solver based on Cholmod. More...
Public Types | |
enum | { UpLo } |
typedef MatrixType | CholMatrixType |
typedef MatrixType::Index | Index |
typedef _MatrixType | MatrixType |
typedef MatrixType::RealScalar | RealScalar |
typedef MatrixType::Scalar | Scalar |
Public Member Functions | |
void | analyzePattern (const MatrixType &matrix) |
cholmod_common & | cholmod () |
CholmodDecomposition (const MatrixType &matrix) | |
Index | cols () const |
void | compute (const MatrixType &matrix) |
template<typename Stream > | |
void | dumpMemory (Stream &s) |
void | factorize (const MatrixType &matrix) |
ComputationInfo | info () const |
Reports whether previous computation was successful. More... | |
Index | rows () const |
void | setMode (CholmodMode mode) |
template<typename Rhs > | |
const internal::solve_retval < CholmodDecomposition, Rhs > | solve (const MatrixBase< Rhs > &b) const |
template<typename Rhs > | |
const internal::sparse_solve_retval < CholmodDecomposition, Rhs > | solve (const SparseMatrixBase< Rhs > &b) const |
Protected Attributes | |
int | m_analysisIsOk |
cholmod_common | m_cholmod |
cholmod_factor * | m_cholmodFactor |
int | m_factorizationIsOk |
ComputationInfo | m_info |
bool | m_isInitialized |
A Cholesky factorization and solver based on Cholmod.
This class allows to solve for A.X = B sparse linear problems via a LL^T or LDL^T Cholesky factorization using the Cholmod library. The sparse matrix A must be selfajoint and positive definite. The vectors or matrices X and B can be either dense or sparse.
_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. |
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Performs a symbolic decomposition on the sparcity of matrix.
This function is particularly useful when solving for several problems having the same structure.
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Returns a reference to the Cholmod's configuration structure to get a full control over the performed operations. See the Cholmod user guide for details.
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Computes the sparse Cholesky decomposition of matrix
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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.
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Reports whether previous computation was successful.
Success
if computation was succesful, NumericalIssue
if the matrix.appears to be negative.
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