CSpace
Shifted skew-symmetric iteration methods for nonsymmetric linear complementarity problems
Dong, Jun-Liang
2010-07-01
发表期刊NUMERICAL ALGORITHMS
ISSN1017-1398
卷号54期号:3页码:343-357
摘要We present a shifted skew-symmetric iteration method for solving the nonsymmetric positive definite or positive semidefinite linear complementarity problems. This method is based on the symmetric and skew-symmetric splitting of the system matrix, which has been adopted to establish efficient splitting iteration methods for solving the nonsymmetric systems of linear equations. Global convergence of the method is proved, and the corresponding inexact splitting iteration scheme is established and analyzed in detail. Numerical results show that the new methods are feasible and effective for solving large sparse and nonsymmetric linear complementarity problems.
关键词Linear complementarity problem Symmetric and skew-symmetric splitting Splitting iteration method Inexact splitting iteration Nonsymmetric and positive-definite matrix
DOI10.1007/s11075-009-9338-4
语种英语
资助项目Doctoral Starting-Up Research Foundation[X0006014200801] ; Basic Research Foundation of College of Applied Sciences[97006014200702] ; Beijing University of Technology, P.R. China
WOS研究方向Mathematics
WOS类目Mathematics, Applied
WOS记录号WOS:000278471400003
出版者SPRINGER
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/11178
专题中国科学院数学与系统科学研究院
通讯作者Dong, Jun-Liang
作者单位Chinese Acad Sci, Acad Math & Syst Sci, Inst Computat Math & Sci Engn Comp, State Key Lab Sci Engn Comp, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Dong, Jun-Liang. Shifted skew-symmetric iteration methods for nonsymmetric linear complementarity problems[J]. NUMERICAL ALGORITHMS,2010,54(3):343-357.
APA Dong, Jun-Liang.(2010).Shifted skew-symmetric iteration methods for nonsymmetric linear complementarity problems.NUMERICAL ALGORITHMS,54(3),343-357.
MLA Dong, Jun-Liang."Shifted skew-symmetric iteration methods for nonsymmetric linear complementarity problems".NUMERICAL ALGORITHMS 54.3(2010):343-357.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Dong, Jun-Liang]的文章
百度学术
百度学术中相似的文章
[Dong, Jun-Liang]的文章
必应学术
必应学术中相似的文章
[Dong, Jun-Liang]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。