CholmodBase< _MatrixType, _UpLo, Derived > Class Template Reference

Detailed Description

template<typename _MatrixType, int _UpLo, typename Derived>
class Eigen::CholmodBase< _MatrixType, _UpLo, Derived >

The base class for the direct Cholesky factorization of Cholmod.

See Also

class CholmodSupernodalLLT, class CholmodSimplicialLDLT, class CholmodSimplicialLLT

Inherits noncopyable.

Public Member Functions
void	analyzePattern (const MatrixType &matrix)
cholmod_common &	cholmod ()
Derived &	compute (const MatrixType &matrix)
void	factorize (const MatrixType &matrix)
ComputationInfo	info () const
	Reports whether previous computation was successful. More...
Derived &	setShift (const RealScalar &offset)
template<typename Rhs >
const internal::solve_retval < CholmodBase, Rhs >	solve (const MatrixBase< Rhs > &b) const
template<typename Rhs >
const internal::sparse_solve_retval < CholmodBase, Rhs >	solve (const SparseMatrixBase< Rhs > &b) const

Member Function Documentation

void 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.

See Also

factorize()

Referenced by CholmodBase< _MatrixType, _UpLo, CholmodSimplicialLLT< _MatrixType, _UpLo > >::compute().

cholmod_common& 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& compute ( const MatrixType &  matrix )

inline

Computes the sparse Cholesky decomposition of matrix

void 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.

See Also

analyzePattern()

Referenced by CholmodBase< _MatrixType, _UpLo, CholmodSimplicialLLT< _MatrixType, _UpLo > >::compute().

ComputationInfo info ( ) const

inline

Reports whether previous computation was successful.

Returns

Success if computation was succesful, NumericalIssue if the matrix.appears to be negative.

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.

Returns

a reference to *this.

const internal::solve_retval<CholmodBase, Rhs> solve ( const MatrixBase< Rhs > &  b ) const

inline

Returns

the solution x of using the current decomposition of A.

See Also

compute()

const internal::sparse_solve_retval<CholmodBase, Rhs> solve ( const SparseMatrixBase< Rhs > &  b ) const

inline

Returns

the solution x of using the current decomposition of A.

See Also

compute()

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The documentation for this class was generated from the following file:

• CholmodSupport.h