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 |
|---|---|
| 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