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TitleDeflated block Krylov subspace methods for large scale eigenvalue problems
Creator
Date Issued2010-06-01
Source PublicationJournal of Computational and Applied Mathematics
ISSN0377-0427
Volume234Issue:3Pages:636-648
AbstractWe 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. © 2009 Elsevier B.V. All rights reserved.
KeywordArnoldi process Krylov subspace Refined approximate eigenvector Ritz value Ritz vector
DOI10.1016/j.cam.2009.11.058
URLView source
Language英语English
Scopus ID2-s2.0-77949487038
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/6631
CollectionBeijing Normal-Hong Kong Baptist University
Corresponding AuthorNiu,Qiang
Affiliation
1.College of Mathematical Science,Qingdao University,Qingdao, 266071,China
2.BNU-HKBU United International College,Zhuhai, 519085,China
3.School of Mathematics and Computer Science,Guizhou Normal University,Guiyang, 550001,China
4.School of Mathematical Sciences,Xiamen University,Xiamen, 361005,China
First Author AffilicationBeijing Normal-Hong Kong Baptist University
Corresponding Author AffilicationBeijing Normal-Hong Kong Baptist University
Recommended Citation
GB/T 7714
Niu,Qiang,Lu,Linzhang. Deflated block Krylov subspace methods for large scale eigenvalue problems[J]. Journal of Computational and Applied Mathematics, 2010, 234(3): 636-648.
APA Niu,Qiang, & Lu,Linzhang. (2010). Deflated block Krylov subspace methods for large scale eigenvalue problems. Journal of Computational and Applied Mathematics, 234(3), 636-648.
MLA Niu,Qiang,et al."Deflated block Krylov subspace methods for large scale eigenvalue problems". Journal of Computational and Applied Mathematics 234.3(2010): 636-648.
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