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GMRES Methods for Least Squares Problems

โœ Scribed by Hayami, Ken; Yin, Jun-Feng; Ito, Tokushi


Book ID
118211780
Publisher
Society for Industrial and Applied Mathematics
Year
2010
Tongue
English
Weight
659 KB
Volume
31
Category
Article
ISSN
0895-4798

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๐Ÿ“œ SIMILAR VOLUMES


Preconditioned GMRES methods with incomp
โœ Jun-Feng Yin; Ken Hayami ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 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