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Classes | |
| class | Eigen::IncompleteLUT< _Scalar > |
Incomplete LU factorization with dual-threshold strategy During the numerical factorization, two dropping rules are used : 1) any element whose magnitude is less than some tolerance is dropped. This tolerance is obtained by multiplying the input tolerance droptol by the average magnitude of all the original elements in the current row. 2) After the elimination of the row, only the fill largest elements in the L part and the fill largest elements in the U part are kept (in addition to the diagonal element ). Note that fill is computed from the input parameter fillfactor which is used the ratio to control the fill_in relatively to the initial number of nonzero elements. More... | |
| struct | Eigen::IncompleteLUT< _Scalar >::keep_diag |
| struct | Eigen::internal::solve_retval< IncompleteLUT< _MatrixType >, Rhs > |
Namespaces | |
| namespace | Eigen |
| namespace | Eigen::internal |