ON THE CONVERGENCE OF A MATRIX SPLITTING ALGORITHM FOR THE SYMMETRICAL MONOTONE LINEAR COMPLEMENTARITY-PROBLEM

被引:39
作者
LUO, ZQ [1 ]
TSENG, P [1 ]
机构
[1] MIT,INFORMAT & DECIS SYST LAB,CAMBRIDGE,MA 02139
关键词
CONVERGENCE; ITERATIVE METHODS; CONVEX QUADRATIC PROGRAM; LINEAR COMPLEMENTARITY; MATRIX SPLITTING; GRADIENT PROJECTION; SOR;
D O I
10.1137/0329057
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A matrix splitting algorithm for the linear complementarity problem is considered, where the matrix is symmetric positive semidefinite. It is shown that if the splitting is regular, then the iterates generated by the algorithm are well defined and converge to a solution. This result resolves in the affirmative a long standing question about the convergence of the point successive overrelaxation (SOR) method for solving this problem. This result is also extended to related iterative methods. As direct consequences, convergence of the methods of, respectively, Aganagic, Cottle et al., Mangasarian, Pang, and others, is obtained, without making any additional assumptions on the problem.
引用
收藏
页码:1037 / 1060
页数:24
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