文献类型：期刊文献

英文题名：The Monomial Preconditioned SSOR Method for Linear Complementarity problem

作者：Mao, Xinna[1];Wang, Xiuwang[1];Edalatpanah, S. A.[2];Fallah, M.[3]

第一作者：毛新娜

通讯作者：Edalatpanah, SA[1]

机构：[1]Xinxiang Univ, Dept Math & Informat Sci, Xinxiang 453003, Henan, Peoples R China;[2]Ayandegan Inst Higher Educ, Dept Appl Math, Tonekabon 700027, Iran;[3]Islamic Azad Univ, Dept Ind Engn, Cent Tehran Branch, Tehran 1467686831, Iran

第一机构：新乡学院数学与信息科学学院

通讯机构：[1]corresponding author), Ayandegan Inst Higher Educ, Dept Appl Math, Tonekabon 700027, Iran.

年份：2019

卷号：7

起止页码：73649-73655

外文期刊名：IEEE ACCESS

收录：;EI(收录号：20192607094663);Scopus(收录号：2-s2.0-85067685089);WOS:【SCI-EXPANDED(收录号:WOS:000472205900001)】；

基金：This work was supported by the Key Scientific Program in Universities and Colleges of Henan under Grant 19A110032.

语种：英文

外文关键词：Linear complementarity problem; M-matrix; preconditioning; projected model; SSOR method

摘要：This paper aims to show that the existing preconditioned symmetric successive over-relaxation (SSOR) approach to solving the linear complementarity problem (LCP) is not valid. To overcome the flaws, we propose an efficient preconditioner called the monomial preconditioner. The convergence behavior of the proposed model is also established. Meanwhile, the efficiency of the new method is verified by numerical experiments.