Deflated block Krylov subspace methods for large scale eigenvalue problems

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	Deflated block Krylov subspace methods for large scale eigenvalue problems
	Niu, Q. ; Lu, L. Z. ; Lu LZ(卢琳璋)
刊名	http://dx.doi.org/10.1016/j.cam.2009.11.058
	2010-06-01
关键词	LARGE UNSYMMETRIC EIGENPROBLEMS LANCZOS METHOD ARNOLDI METHOD ALGORITHM SPARSE REORTHOGONALIZATION VECTORS MATRIX
英文摘要	National Natural Science Foundation of China [10961010]; China Scholarship Council; 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. (C) 2009 Elsevier B.V. All rights reserved.
语种	英语
内容类型	期刊论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/66146]
专题	数学科学－已发表论文
推荐引用方式 GB/T 7714	Niu, Q.,Lu, L. Z.,Lu LZ. Deflated block Krylov subspace methods for large scale eigenvalue problems[J]. http://dx.doi.org/10.1016/j.cam.2009.11.058,2010.
APA	Niu, Q.,Lu, L. Z.,&卢琳璋.(2010).Deflated block Krylov subspace methods for large scale eigenvalue problems.http://dx.doi.org/10.1016/j.cam.2009.11.058.
MLA	Niu, Q.,et al."Deflated block Krylov subspace methods for large scale eigenvalue problems".http://dx.doi.org/10.1016/j.cam.2009.11.058 (2010).