An improved two-sweep iteration method for absolute value equations

被引：2
|
作者：
Zhang, Hongbing [1 ]
Zhang, Yanjun [2 ]
Li, Yajing [1 ]
Fan, Hongtao [1 ,3 ]
机构：
[1] Northwest A&F Univ, Coll Sci, Yangling 712100, Shaanxi, Peoples R China
[2] Chongqing Univ, Coll Math & Stat, Chongqing 401331, Peoples R China
[3] Lanzhou Univ, Sch Math & Stat, Lanzhou 730000, Peoples R China
来源：
COMPUTATIONAL & APPLIED MATHEMATICS | 2022年 / 41卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Absolute value equations; Two-sweep iteration method; Comparison theorem; Convergence; GENERALIZED NEWTON METHOD; LINEAR COMPLEMENTARITY-PROBLEM; CONVERGENCE;
D O I：
10.1007/s40314-022-01832-3
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In this short paper, a new technology-based two-sweep iteration method for the absolute value equations is proposed, and, by constructing a novel comparison theorem about the norm size of these two matrices A and |A|, the convergence of the above method is given on the premise that the included parameters meet some appropriate conditions. Numerical simulation experiments are presented to verify that our method is more effective and practical than other popular methods.
引用
收藏
页数：10
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