@Article{JICS-9-2,
author = {},
title = {A Fliter Method for Sloving LCP Based on Nonmonotone Line Search},
journal = {Journal of Information and Computing Science},
year = {2014},
volume = {9},
number = {2},
pages = {113--122},
abstract = {In this paper, we propose a filter method to solve the linear complementarity problem(LCP). By 
using the Fisher-Burmeister function, we convert the LCP to an equivalent optimization problem with linear 
equality  constraints.  A  filter  approach  is  employed  to  tackle  the  optimization  problem  and  the  proposed 
mechanism for accepting the trial step is obtained by a nonmonotone filter technique. Under some conditions, 
we establish the global convergence of the algorithm. 
},
issn = {1746-7659},
doi = {https://doi.org/2024-JICS-22588},
url = {https://global-sci.com/article/87320/a-fliter-method-for-sloving-lcp-based-on-nonmonotone-line-search}
}