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Some properties of LSQR for large sparse linear least squares problems

โœ Scribed by Zhongxiao Jia


Book ID
107347200
Publisher
Academy of Mathematics and Systems Science, Chinese Academy of Sciences
Year
2010
Tongue
English
Weight
153 KB
Volume
23
Category
Article
ISSN
1009-6124

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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