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Eigen  3.2.5
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CholmodBase< _MatrixType, _UpLo, Derived > Class Template Reference
[CholmodSupport module]

The base class for the direct Cholesky factorization of Cholmod. More...

Inherits Eigen::internal::noncopyable.

List of all members.

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.
Derived & setShift (const RealScalar &offset)
template<typename Rhs >
const
internal::sparse_solve_retval
< CholmodBase, Rhs > 
solve (const SparseMatrixBase< Rhs > &b) const
template<typename Rhs >
const internal::solve_retval
< CholmodBase, Rhs > 
solve (const MatrixBase< Rhs > &b) const

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

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::sparse_solve_retval<CholmodBase, Rhs> solve ( const SparseMatrixBase< Rhs > &  b  )  const [inline]
Returns:
the solution x of $ A x = b $ using the current decomposition of A.
See also:
compute()
const internal::solve_retval<CholmodBase, Rhs> solve ( const MatrixBase< Rhs > &  b  )  const [inline]
Returns:
the solution x of $ A x = b $ using the current decomposition of A.
See also:
compute()

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