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Experimental study of the asynchronous multisplitting relaxation methods for the linear complementarity problems
Bai, ZZ
2002-11-01
发表期刊JOURNAL OF COMPUTATIONAL MATHEMATICS
ISSN0254-9409
卷号20期号:6页码:561-574
摘要We study the numerical behaviours of the relaxed asynchronous multisplitting methods for the linear complementarity problems by solving some typical problems from practical applications on a real multiprocessor system. Numerical results show that the parallel multisplitting relaxation methods always perform much better than the corresponding sequential alternatives, and that the asynchronous multisplitting relaxation methods often outperform their corresponding synchronous counterparts. Moreover, the two-sweep relaxed multisplitting methods have better convergence properties than their corresponding one-sweep relaxed ones in the sense that they have larger convergence domains and faster convergence speeds. Hence, the asynchronous multisplitting unsymmetric relaxation iterations should be the methods of choice for solving the large sparse linear complementarity problems in the parallel computing environments.
关键词linear complementarity problem matrix multisplitting asynchronous iterative methods numerical experiment
语种英语
WOS研究方向Mathematics
WOS类目Mathematics, Applied ; Mathematics
WOS记录号WOS:000179620000001
出版者VSP BV
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/17211
专题计算数学与科学工程计算研究所
作者单位Chinese Acad Sci, Acad Math & Syst Sci, Inst Computat Math & Sci Engn Comp, State Key Lab Sci Engn Comp, Beijing, Peoples R China
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Bai, ZZ. Experimental study of the asynchronous multisplitting relaxation methods for the linear complementarity problems[J]. JOURNAL OF COMPUTATIONAL MATHEMATICS,2002,20(6):561-574.
APA Bai, ZZ.(2002).Experimental study of the asynchronous multisplitting relaxation methods for the linear complementarity problems.JOURNAL OF COMPUTATIONAL MATHEMATICS,20(6),561-574.
MLA Bai, ZZ."Experimental study of the asynchronous multisplitting relaxation methods for the linear complementarity problems".JOURNAL OF COMPUTATIONAL MATHEMATICS 20.6(2002):561-574.
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