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A class of asynchronous parallel multisplitting relaxation methods for large sparse linear complementarity problems
Bai, ZZ; Huang, YG
2003-11-01
Source PublicationJOURNAL OF COMPUTATIONAL MATHEMATICS
ISSN0254-9409
Volume21Issue:6Pages:773-790
AbstractAsynchronous parallel multisplitting relaxation methods for solving large sparse linear complementarity problems are presented, and their convergence is proved when the system matrices are H-matrices having positive diagonal elements. Moreover, block and multi-parameter variants of the new methods, together with their convergence properties, are investigated in detail. Numerical results show that these new methods can achieve high parallel efficiency for solving the large sparse linear complementarity problems on multiprocessor systems.
Keywordlinear complementarity problem matrix multisplitting relaxation method asynchronous iteration convergence theory
Language英语
WOS Research AreaMathematics
WOS SubjectMathematics, Applied ; Mathematics
WOS IDWOS:000186851300008
PublisherVSP BV
Citation statistics
Cited Times:20[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/18656
Collection中国科学院数学与系统科学研究院
Affiliation1.Chinese Acad Sci, Acad Math & Syst Sci, ICMSEC, LSEC, Beijing 100080, Peoples R China
2.Univ Oxford, Comp Lab, Programming Res Grp, Oxford OX1 3QD, England
Recommended Citation
GB/T 7714
Bai, ZZ,Huang, YG. A class of asynchronous parallel multisplitting relaxation methods for large sparse linear complementarity problems[J]. JOURNAL OF COMPUTATIONAL MATHEMATICS,2003,21(6):773-790.
APA Bai, ZZ,&Huang, YG.(2003).A class of asynchronous parallel multisplitting relaxation methods for large sparse linear complementarity problems.JOURNAL OF COMPUTATIONAL MATHEMATICS,21(6),773-790.
MLA Bai, ZZ,et al."A class of asynchronous parallel multisplitting relaxation methods for large sparse linear complementarity problems".JOURNAL OF COMPUTATIONAL MATHEMATICS 21.6(2003):773-790.
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