Multi-step inertial strictly contractive PRSM algorithms for convex programming problems with applications

JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS(2024)

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摘要
The Peaceman-Rachford splitting method (PRSM) has been widely studied in recent years because of its excellent numerical performance, especially with inertial acceler-ation. In this paper, we propose a multi-step inertial strictly contractive PRSM (shortly, MISCPRSM) for solving convex optimization problems, which has not been studied before. This paper aims to give an exhaustive analysis of the value relationship between multiple inertial parameters. The second subproblem utilizes an additional customized indefinite proximal term in order to obtain a closed-form solution. The global conver-gence and complexity result of the introduced method are analyzed by using variational inequality and basic inequalities. Finally, through simulation and computed tomography experiments, the effectiveness and robustness of the MISCPRSM are proved, and the detailed values of inertial parameters are given.& COPY; 2023 Elsevier B.V. All rights reserved.
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关键词
Convex programming,Peaceman-Rachford splitting method,Inertial step,Indefinite proximal term,Variational inequality,Global convergence
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