JOURNAL ARTICLE

General fixed-point method for solving the linear complementarity problem

Ximing Fang

Year: 2021 Journal:   AIMS Mathematics Vol: 6 (11)Pages: 11904-11920   Publisher: American Institute of Mathematical Sciences

Abstract

<abstract><p>In this paper, we consider numerical methods for the linear complementarity problem (LCP). By introducing a positive diagonal parameter matrix, the LCP is transformed into an equivalent fixed-point equation and the equivalence is proved. Based on such equation, the general fixed-point (GFP) method with two cases are proposed and analyzed when the system matrix is a $ P $-matrix. In addition, we provide several concrete sufficient conditions for the proposed method when the system matrix is a symmetric positive definite matrix or an $ H_{+} $-matrix. Meanwhile, we discuss the optimal case for the proposed method. The numerical experiments show that the GFP method is effective and practical.</p></abstract>

Keywords:
Linear complementarity problem Mathematics Diagonal matrix Matrix (chemical analysis) Applied mathematics Diagonal Equivalence (formal languages) Complementarity theory Positive-definite matrix Complementarity (molecular biology) Diagonally dominant matrix Fixed point State-transition matrix Mathematical analysis Symmetric matrix Pure mathematics Physics Geometry Nonlinear system Eigenvalues and eigenvectors

Metrics

9
Cited By
0.96
FWCI (Field Weighted Citation Impact)
29
Refs
0.78
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Matrix Theory and Algorithms
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Advanced Optimization Algorithms Research
Physical Sciences →  Mathematics →  Numerical Analysis
Iterative Methods for Nonlinear Equations
Physical Sciences →  Mathematics →  Numerical Analysis

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