Journal of Computational and Applied Mathematics2022,Vol.40020.DOI:10.1016/j.cam.2021.113745

A modified SOR-like method for absolute value equations associated with second order cones

Huang, Baohua Li, Wen
Journal of Computational and Applied Mathematics2022,Vol.40020.DOI:10.1016/j.cam.2021.113745

A modified SOR-like method for absolute value equations associated with second order cones

Huang, Baohua 1Li, Wen2
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作者信息

  • 1. Fujian Normal Univ
  • 2. South China Normal Univ
  • 折叠

Abstract

In this paper, we propose a modified SOR-like method for solving absolute value equations associated with second order cones (SOCAVE in short), which is obtained by reformulating the SOCAVE as a two-by-two block nonlinear equation. The convergence analysis and error estimation of this method are established under mild assumptions on system matrix and iteration parameters. And, the optimal iteration parameters and the corresponding optimal convergence factor are studied. In particular, we present the approximate optimal iteration parameters which are independent of the number of iterations. Numerical results are given to show the efficiency of the proposed iteration method with suitable parameters. (C) 2021 Elsevier B.V. All rights reserved.

Key words

Absolute value equations/Modified SOR-like method/Convergence/Optimal parameters/Second order cone/GENERALIZED NEWTON METHOD/ITERATION METHOD/SMOOTHING FUNCTIONS

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出版年

2022
Journal of Computational and Applied Mathematics

Journal of Computational and Applied Mathematics

EISCI
ISSN:0377-0427
被引量4
参考文献量37
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