On general fixed point method based on matrix splitting for solving linear complementarity problem

Autor: Bharat Kumar, Deepmala, A. K. Das
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Journal of Numerical Analysis and Approximation Theory, Vol 51, Iss 2 (2022)
Druh dokumentu: article
ISSN: 2457-6794
2501-059X
Popis: In this article, we introduce a modified fixed point method to process the large and sparse linear complementarity problem (LCP) and formulate an equivalent fixed point equation for the LCP and show the equivalence. Also, we provide convergence conditions when the system matrix is a \(P\)-matrix and two sufficient convergence conditions when the system matrix is an \(H_+\)-matrix. To show the efficiency of our proposed method, we illustrate two numerical examples for different parameters.
Databáze: Directory of Open Access Journals