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International Journal of Information Technology and Computer Science
Article . 2011 . Peer-reviewed
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International Journal of Information Technology and Computer Science
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https://dx.doi.org/10.5815/iji...
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Two SAOR Iterative Formats for Solving Linear Complementarity Problems

descriptionPublicationkeyboard_double_arrow_right Article 17 Mar 2011Publisher:MECS PublisherJournal:International Journal of Information Technology and Computer Science, volume 3, pages 38-45 (issn: 2074-9007, eissn: 2074-9015, Copyright policy )
Authors: Xian-li Han; Dong-jin Yuan; Shan Jiang;

doi: 10.5815/ijitcs.2011.02.06

Two SAOR Iterative Formats for Solving Linear Complementarity Problems

Abstract

In this paper, we propose two new iterative SAOR methods to solve the linear complementarity problem. Some sufficient conditions for the convergence of two new iterative methods are presented, when the system matrix M is an M-matrix. Moreover, when M is an L-matrix, we discuss the monotone convergence of the new methods. And in the numerical experiments we report some computational results with the two proposed SAOR formats.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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