The quadratic convergence of a smoothing Levenberg-Marquardt method for nonlinear complementarity problem

被引:13
作者
Ma, Changfeng [1 ,2 ]
Tang, Jia [2 ]
机构
[1] Fujian Normal Univ, Sch Math & Comp Sci, Fuzhou 350007, Peoples R China
[2] Guilin Univ Elect Technol, Sch Math & Comp Sci, Guilin 541004, Peoples R China
基金
中国国家自然科学基金;
关键词
nonlinear complementarity problem; smoothing function; Levenberg-Marquardt method; local quadratic convergence;
D O I
10.1016/j.amc.2007.07.060
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The nonlinear complementarity problem (denoted by NCP(F)) can be reformulated as the solution of a possibly inconsistent nonsmooth system of equations. Based on the ideas developed in smoothing Newton methods, we approximated the problem of the least l(2)- norm solution of the equivalent nonsmooth equations of NCP(F) with a family of parameterized optimization problem with twice continuously differentiable objective functions by making use of a new smoothing function. Then we presented a smoothing Levenberg-Marquardt method to solve the parameterized smooth optimization problem. By using the smooth and semismooth technique, the local quadratic convergence of the proposed method is proved under some suitable assumptions. (c) 2007 Elsevier Inc. All rights reserved.
引用
收藏
页码:566 / 581
页数:16
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