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A Robust Preconditioner with Low Memory Requirements for Large Sparse Least Squares Problems

✍ Scribed by Benzi, Michele; Tuma, Miroslav

Book ID
118190474
Publisher
Society for Industrial and Applied Mathematics
Year
2003
Tongue
English
Weight
164 KB
Volume
25
Category
Article
ISSN
1064-8275

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πŸ“œ SIMILAR VOLUMES

Preconditioned GMRES methods with incomp
Preconditioned GMRES methods with incomplete Givens orthogonalization method for large sparse least-squares problems
✍ Jun-Feng Yin; Ken Hayami πŸ“‚ Article πŸ“… 2009 πŸ› Elsevier Science 🌐 English βš– 581 KB

We propose to precondition the GMRES method by using the incomplete Givens orthogonalization (IGO) method for the solution of large sparse linear least-squares problems. Theoretical analysis shows that the preconditioner satisfies the sufficient condition that can guarantee that the preconditioned G