The Monomial Preconditioned SSOR Method for Linear Complementarity Problem

Xinna Mao; Xiuwang Wang; S. A. Edalatpanah; M. Fallah

doi:10.1109/ACCESS.2019.2920485

IEEE Access (Jan 2019)

The Monomial Preconditioned SSOR Method for Linear Complementarity Problem

Xinna Mao,
Xiuwang Wang,
S. A. Edalatpanah,
M. Fallah

Affiliations

Xinna Mao: Department of Mathematics and Information Science, Xinxiang University, Xinxiang, China
Xiuwang Wang: Department of Mathematics and Information Science, Xinxiang University, Xinxiang, China
S. A. Edalatpanah: ORCiD; Department of Applied Mathematics, Ayandegan Institute of Higher Education, Tonekabon, Iran
M. Fallah: Department of Industrial Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran

DOI: https://doi.org/10.1109/ACCESS.2019.2920485
Journal volume & issue: Vol. 7
pp. 73649 – 73655

Abstract

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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.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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