A smoothing Levenberg-Marquardt type method for LCP

被引:0
作者
Zhang, JL [1 ]
Chen, J [1 ]
机构
[1] Tsinghua Univ, Sch Econ & Management, Dept Management Sci, Beijing 100084, Peoples R China
关键词
LCP; Levenberg-Marquardt method; smoothing technique; P-0; matrix; superlinear convergence;
D O I
暂无
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
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.
引用
收藏
页码:735 / 752
页数:18
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