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Deflated block Krylov subspace methods for large scale eigenvalue problems

โœ Scribed by Qiang Niu; Linzhang Lu

Publisher
Elsevier Science
Year
2010
Tongue
English
Weight
530 KB
Volume
234
Category
Article
ISSN
0377-0427

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โœฆ Synopsis

We discuss a class of deflated block Krylov subspace methods for solving large scale matrix eigenvalue problems. The efficiency of an Arnoldi-type method is examined in computing partial or closely clustered eigenvalues of large matrices. As an improvement, we also propose a refined variant of the Arnoldi-type method. Comparisons show that the refined variant can further improve the Arnoldi-type method and both methods exhibit very regular convergence behavior.

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