A generalization of the Gauss-Seidel iteration method for generalized absolute value equations
Abstract
A parameter-free method, namely the generalization of the Gauss-Seidel (GGS) method, is developed to solve generalized absolute value equations (GAVE). Some results in the recent work of Edalatpour et al. [A generalization of the Gauss-Seidel iteration method for solving absolute value equations. Appl Math Comput. 2017;293:156–167] are extended. For solving linear complementarity problem, the GGS method can be seen as a special case of the accelerated modulus-based matrix splitting iteration method [Zheng and Yin. Accelerated modulus-based matrix splitting iteration methods for linear complementarity problem. Numer Algorithms. 2013;64:245–262], which is characterized by solving a GAVE subproblem in each iteration. Moreover, new convergence results of the GGS method are given. Numerical results demonstrate the effectiveness and efficiency of the GGS method.
Fields of Study & Subjects
Matrix Theory and Algorithms
Iterative Methods for Nonlinear Equations
Optimization and Variational Analysis
Publication details
- Journal / source
- Optimization
- Volume
- 75
- Issue
- 13
- Pages
- 3559–3578
- Publication date
- 13 January 2026
- Language
- EN