JOURNAL ARTICLE

Inexact fixed-point iteration method for nonlinear complementarity problems

Xiaobo SongXu ZhangZeng Yu-huaZheng Peng

Year: 2023 Journal:   Journal of Algorithms & Computational Technology Vol: 17   Publisher: SAGE Publishing

Abstract

Based on the modulus decomposition, the structured nonlinear complementarity problem is reformulated as an implicit fixed-point system of nonlinear equations. Distinguishing from some existing modulus-based matrix splitting methods, we present a flexible modulus-based inexact fixed-point iteration method for the resulting system, in which the subproblem can be solved approximately by a linear system-solver. The global convergence of the proposed method is established by assuming that the system matrix is positive definite. Some numerical comparisons are reported to illustrate the applicability of the proposed method, especially for large-scale problems.

Keywords:
Mathematics Nonlinear system Solver Convergence (economics) Positive-definite matrix Fixed-point iteration Applied mathematics Complementarity (molecular biology) Fixed point Iterative method Matrix (chemical analysis) Mathematical optimization Modulus Linear complementarity problem Mathematical analysis Geometry Eigenvalues and eigenvectors

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Topics

Matrix Theory and Algorithms
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Advanced Optimization Algorithms Research
Physical Sciences →  Mathematics →  Numerical Analysis
Numerical methods for differential equations
Physical Sciences →  Mathematics →  Numerical Analysis

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