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Asynchronous parallel nonlinear multisplitting relaxation methods for large sparse nonlinear complementarity problems
Bai, ZZ
1998-06-01
发表期刊APPLIED MATHEMATICS AND COMPUTATION
ISSN0096-3003
卷号92期号:1页码:85-100
摘要In accordance with the principle of sufficiently using delayed information, and making use of the nonlinear multisplitting and the nonlinear relaxation techniques, we present in this paper a class of asynchronous parallel nonlinear multisplitting successive overrelaxation (SOR) methods for solving large sparse nonlinear complementarity problems on high-speed MIMD multiprocessor systems. These new methods particularly include the so-called asynchronous parallel nonlinear multisplitting SOR-Newton method, asynchronous parallel nonlinear multisplitting SOR-chord method and asynchronous parallel nonlinear multisplitting SOR-Steffensen method. Under suitable conditions we establish the local convergence theory of this class of new methods. Numerical imitations show that our new methods are feasible and efficient for solving the nonlinear complementarity problems on the MIMD multiprocessor systems. (C) 1998 Elsevier Science Inc. All rights reserved.
关键词nonlinear complementarity problem nonlinear multisplitting relaxation method local convergence asynchronous parallel computation
语种英语
WOS研究方向Mathematics
WOS类目Mathematics, Applied
WOS记录号WOS:000073853900007
出版者ELSEVIER SCIENCE INC
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/13929
专题中国科学院数学与系统科学研究院
通讯作者Bai, ZZ
作者单位Chinese Acad Sci, State Key Lab Sci Engn Comp, Inst Computat Math & Sci Engn Comp, Beijing 100080, Peoples R China
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Bai, ZZ. Asynchronous parallel nonlinear multisplitting relaxation methods for large sparse nonlinear complementarity problems[J]. APPLIED MATHEMATICS AND COMPUTATION,1998,92(1):85-100.
APA Bai, ZZ.(1998).Asynchronous parallel nonlinear multisplitting relaxation methods for large sparse nonlinear complementarity problems.APPLIED MATHEMATICS AND COMPUTATION,92(1),85-100.
MLA Bai, ZZ."Asynchronous parallel nonlinear multisplitting relaxation methods for large sparse nonlinear complementarity problems".APPLIED MATHEMATICS AND COMPUTATION 92.1(1998):85-100.
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