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On the convergence of a matrix splitting algorithm for the symmetric linear complementarity problem

Zhi-Quan Tom Luo, Paul Tseng, Decision Systems.

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Abstract

We consider a matrix splitting algorithm for the linear complementarity problem where the matrix is symmetric positive semi-definite. We show 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 SOR method for solving this problem. We also extend this result to related iterative methods. As direct consequences, we obtain convergence of the methods of, respectively, Aganagic, Cottle et al., Mangasarian, Pang, and others, without making any additional assumption on the problem.

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What this paper is about

We consider a matrix splitting algorithm for the linear complementarity problem where the matrix is symmetric positive semi-definite. We show 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 SOR method for solving this problem. We also extend this result to related iterative methods. As direct consequences, we obtain convergence of the methods of, respectively, Aganagic, Cottle et al., Mangasarian, Pang, and others, without making any additional assumption on the problem.

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OpenAlex reports 11 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

We consider a matrix splitting algorithm for the linear complementarity problem where the matrix is symmetric positive semi-definite. We show 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 SOR method for solving this problem. We also extend this result to related iterative methods. As direct consequences, we obtain convergence of the methods of, respectively, Aganagic, Cottle et al., Mangasarian, Pang, and others, without making any additional assumption on the problem.

Key concepts: Linear complementarity problem, Mathematics, Iterated function, Matrix splitting, Complementarity theory, Mixed complementarity problem, Symmetric matrix, Matrix (chemical analysis)

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