Non-interior continuation method for solving the monotone semidefinite complementarity problem

被引:28
|
作者
Huang, ZH [1 ]
Han, JY [1 ]
机构
[1] Chinese Acad Sci, Inst Appl Math, Acad Math & Syst Sci, Beijing 100080, Peoples R China
来源
APPLIED MATHEMATICS AND OPTIMIZATION | 2003年 / 47卷 / 03期
关键词
monotone semidefinite complementarity problem; non-interior continuation method; global linear convergence; local quadratic convergence;
D O I
10.1007/s00245-003-0765-7
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Recently, Chen and Tseng extended non-interior continuation/smoothing methods for solving linear/nonlinear complementarity problems to semidefinite complementarity problems (SDCP). In this paper we propose a non-interior continuation method for solving the monotone SDCP based on the smoothed Fischer-Burmeister function, which is shown to be globally linearly and locally quadratically convergent under suitable assumptions. Our algorithm needs at most to solve a linear system of equations at each iteration. In addition, in our analysis on global linear convergence of the algorithm, we need not use the assumption that the Frechet derivative of the function involved in the SDCP is Lipschitz continuous. For non-interior continuation/smoothing methods for solving the nonlinear complementarity problem, such an assumption has been used widely in the literature in order to achieve global linear convergence results of the algorithms.
引用
收藏
页码:195 / 211
页数:17
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