首页 | 本学科首页   官方微博 | 高级检索  
     检索      


A Smoothing Levenberg-Marquardt Type Method for LCP
Authors:Juliang Zhang & Jian Chen
Abstract:In this paper, we convert the linear complementarity problem to a system of semismooth nonlinear equations by using smoothing technique. Then we use Levenberg-Marquardt type method to solve this system. Taking advantage of the new results obtained by Dan, Yamashita and Fukushima 11, 33], the global and local superlinear convergence properties of the method are obtained under very mild conditions. Especially, the algorithm is locally superlinearly convergent under the assumption of either strict complementarity or certain nonsingularity. Preliminary numerical experiments are reported to show the efficiency of the algorithm.
Keywords:LCP  Levenberg-Marquardt method  Smoothing technique  $P_0$ matrix  Superlinear convergence  
本文献已被 维普 等数据库收录!
点击此处可从《计算数学(英文版)》浏览原始摘要信息
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号