Two efficient iteration methods for solving the absolute value equations

被引:0
|
作者
Yu, Xiaohui [1 ]
Wu, Qingbiao [2 ]
机构
[1] Shandong Agr Univ, Sch Informat Sci & Engn, Tai An 271018, Shandong, Peoples R China
[2] Zhejiang Univ, Sch Math Sci, Hangzhou 310027, Zhejiang, Peoples R China
基金
中国国家自然科学基金;
关键词
Absolute value equation; SOR-like method; Convergence analysis; Optimal parameters; COMPLEMENTARITY;
D O I
10.1016/j.apnum.2024.10.009
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Two efficient iteration methods are proposed for solving the absolute value equation which are the accelerated generalized SOR-like (AGSOR-like) iteration method and the preconditioned generalized SOR-like (PGSOR-like) iteration method. We prove the convergence of the two proposed iterative methods after applying some qualification conditions to the parameters involved. We also discuss the optimal values of the parameters involved in the two methods. Also, some numerical experiments demonstrate the practicability, robustness and high efficiency of the two new methods. In addition, applying the optimal parameter values obtained from theoretical analysis to the PGSOR-like method, it can give solutions with high accuracy after a small number of iterations, demonstrating significant advantages.
引用
收藏
页码:148 / 159
页数:12
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