Relaxation Maximum-Based Iteration Method for Solving the Generalized Absolute Value Equation

The generalized absolute value equation (GAVE) has wide applications in scientific computing. Establishing a high performance computing method to solve the GAVE is a hot research topic in recent years. In this paper, with the aid of the maximum function, the GAVE is decomposed of two equations, and then we present the relaxation maximum-based (RM) iteration method. To see the feasibility of the method, we discuss the necessary and sufficient conditions for the GAVE to have a unique solution. Next, the convergence analysis of the RM iteration is discussed under some convergence conditions. Moreover, some numerical examples of low and high order are provided to confirm the effectiveness and efficiency of our method.

Authors

Institutions

Publication Details

Journal
Journal of Nonlinear Mathematical Physics
Published
2025-04-22
DOI
https://doi.org/10.1007/s44198-025-00281-w
Citations
1
Primary Topic
Matrix Theory and Algorithms
Type
article
Field-Weighted Citation Impact
1.50

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Relaxation Maximum-Based Iteration Method for Solving the Generalized Absolute Value Equation

Ximing Fang, Zhijun Qiao, Zhidong Wang
1 citations
Journal of Nonlinear Mathematical Physics
Matrix Theory and Algorithms
1.50
article

Relaxation Maximum-Based Iteration Method for Solving the Generalized Absolute Value Equation

Ximing Fang, Zhijun Qiao, Zhidong Wang
article en
1 citations

Abstract

The generalized absolute value equation (GAVE) has wide applications in scientific computing. Establishing a high performance computing method to solve the GAVE is a hot research topic in recent years. In this paper, with the aid of the maximum function, the GAVE is decomposed of two equations, and then we present the relaxation maximum-based (RM) iteration method. To see the feasibility of the method, we discuss the necessary and sufficient conditions for the GAVE to have a unique solution. Next, the convergence analysis of the RM iteration is discussed under some convergence conditions. Moreover, some numerical examples of low and high order are provided to confirm the effectiveness and efficiency of our method.

Journal of Nonlinear Mathematical PhysicsVol. 32(1)
North China University of Science and Technology (CN), Zhaoqing University (CN), The University of Texas Rio Grande Valley (US)
Natural Science Foundation of Guangdong Province, National Commission for Science and Technology, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 18%
Matrix Theory and Algorithms
1.50
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Relaxation Maximum-Based Iteration Method for Solving the Generalized Absolute Value Equation — Ximing Fang, Zhijun Qiao, et al. · Journal of Nonlinear Mathematical Physics (2025) | TGRS Research Map | TGRS