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Linear least squares problems with data over incomplete grids

โœ Scribed by G. Pisinger; A. Zimmermann


Publisher
Springer Netherlands
Year
2007
Tongue
English
Weight
464 KB
Volume
47
Category
Article
ISSN
0006-3835

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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