Abstract
In this paper we develop new techniques for stabilizing factored approximate inverse preconditioners (AINV) using pivoting. This method yields stable preconditioners in many cases and can provide successful preconditioners in many situations when the underlying system is highly indefinite. Numerical examples illustrate the effectiveness of this approach.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 692-705 |
| Number of pages | 14 |
| Journal | SIAM Journal on Matrix Analysis and Applications |
| Volume | 23 |
| Issue number | 3 |
| DOIs | |
| State | Published - 2002 |
Keywords
- Factored approximate inverse preconditioners
- Incomplete LU factorization
- Pivoting
- Sparse approximate inverse
- Sparse matrices