Abstract
We introduce a class of multilevel recursive incomplete LU preconditioning techniques (RILUM) for solving general sparse matrices. This technique is based on a recursive two by two block incomplete LU factorization on the coefficient matrix. The coarse level system is constructed as an (approximate) Schur complement. A dynamic preconditioner is obtained by solving the Schur complement matrix approximately. The novelty of the proposed techniques is to solve the Schur complement matrix by a preconditioned Krylov subspace method. Such a reduction process is repeated to yield a multilevel recursive preconditioner.
Original language | English |
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Pages (from-to) | 213-234 |
Number of pages | 22 |
Journal | Journal of Applied Mathematics and Computing |
Volume | 8 |
Issue number | 2 |
DOIs | |
State | Published - May 2001 |
Keywords
- 65F10
- 65N06
ASJC Scopus subject areas
- Computational Mathematics
- Applied Mathematics