Projected fixed point iterative method for large and sparse horizontal linear complementarity problem
Article Type
Research Article
Publication Title
Indian Journal of Pure and Applied Mathematics
Abstract
For solving the horizontal linear complementarity problem, we propose two projected fixed-point matrix splitting methods. The first method is based on matrix splitting, while the second method is based on the Gauss–Seidel method. We provide some convergence conditions when the system matrices are H+-matrices. The efficiency of the proposed method is illustrated using two numerical examples for various parameters.
First Page
716
Last Page
725
DOI
10.1007/s13226-023-00403-4
Publication Date
6-1-2024
Recommended Citation
Kumar, Bharat; Deepmala; and Das, A. K., "Projected fixed point iterative method for large and sparse horizontal linear complementarity problem" (2024). Journal Articles. 5014.
https://digitalcommons.isical.ac.in/journal-articles/5014