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SuperLUBase< _MatrixType, Derived > Class Template Reference

Detailed Description

template<typename _MatrixType, typename Derived>
class Eigen::SuperLUBase< _MatrixType, Derived >

The base class for the direct and incomplete LU factorization of SuperLU.

Inherits noncopyable.

Public Member Functions

void analyzePattern (const MatrixType &)
 
void compute (const MatrixType &matrix)
 
ComputationInfo info () const
 Reports whether previous computation was successful. More...
 
superlu_options_t & options ()
 
template<typename Rhs >
const internal::solve_retval
< SuperLUBase, Rhs > 
solve (const MatrixBase< Rhs > &b) const
 
template<typename Rhs >
const
internal::sparse_solve_retval
< SuperLUBase, Rhs > 
solve (const SparseMatrixBase< Rhs > &b) const
 

Member Function Documentation

void analyzePattern ( const MatrixType &  )
inline

Performs a symbolic decomposition on the sparcity of matrix.

This function is particularly useful when solving for several problems having the same structure.

See Also
factorize()

Referenced by SuperLU< _MatrixType >::analyzePattern(), and SuperILU< _MatrixType >::analyzePattern().

void compute ( const MatrixType &  matrix)
inline

Computes the sparse Cholesky decomposition of matrix

ComputationInfo info ( ) const
inline

Reports whether previous computation was successful.

Returns
Success if computation was succesful, NumericalIssue if the matrix.appears to be negative.
superlu_options_t& options ( )
inline
Returns
a reference to the Super LU option object to configure the Super LU algorithms.
const internal::solve_retval<SuperLUBase, 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()
const internal::sparse_solve_retval<SuperLUBase, 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()

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