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Eigen
3.3.3
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The base class for the direct Cholesky factorization of Cholmod.
Public Member Functions | |
void | analyzePattern (const MatrixType &matrix) |
cholmod_common & | cholmod () |
Derived & | compute (const MatrixType &matrix) |
Scalar | determinant () const |
void | factorize (const MatrixType &matrix) |
ComputationInfo | info () const |
Reports whether previous computation was successful. | |
Scalar | logDeterminant () const |
Derived & | setShift (const RealScalar &offset) |
void Eigen::CholmodBase< _MatrixType, _UpLo, Derived >::analyzePattern | ( | const MatrixType & | matrix | ) | [inline] |
Performs a symbolic decomposition on the sparsity pattern of matrix.
This function is particularly useful when solving for several problems having the same structure.
cholmod_common& Eigen::CholmodBase< _MatrixType, _UpLo, Derived >::cholmod | ( | ) | [inline] |
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.
Derived& Eigen::CholmodBase< _MatrixType, _UpLo, Derived >::compute | ( | const MatrixType & | matrix | ) | [inline] |
Computes the sparse Cholesky decomposition of matrix
Scalar Eigen::CholmodBase< _MatrixType, _UpLo, Derived >::determinant | ( | ) | const [inline] |
void Eigen::CholmodBase< _MatrixType, _UpLo, Derived >::factorize | ( | const MatrixType & | matrix | ) | [inline] |
Performs a numeric decomposition of matrix
The given matrix must have the same sparsity pattern as the matrix on which the symbolic decomposition has been performed.
ComputationInfo Eigen::CholmodBase< _MatrixType, _UpLo, Derived >::info | ( | ) | const [inline] |
Reports whether previous computation was successful.
Success
if computation was succesful, NumericalIssue
if the matrix.appears to be negative. Scalar Eigen::CholmodBase< _MatrixType, _UpLo, Derived >::logDeterminant | ( | ) | const [inline] |
Derived& Eigen::CholmodBase< _MatrixType, _UpLo, Derived >::setShift | ( | const RealScalar & | offset | ) | [inline] |
Sets the shift parameter that will be used to adjust the diagonal coefficients during the numerical factorization.
During the numerical factorization, an offset term is added to the diagonal coefficients:
d_ii
= offset + d_ii
The default is offset=0.
*this
.