An ε-generalized gradient projection method for nonlinear minimax problems

被引：0
|
作者：
Guo-Dong Ma
Jin-Bao Jian
机构：
[1] Shanghai University,Department of Mathematics
[2] Yulin Normal University,School of Mathematics and Information Science
来源：
Nonlinear Dynamics | 2014年 / 75卷
关键词：
Nonlinear minimax problems; -generalized gradient projection method; Global convergence; Strong convergence;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, combining the techniques of ε-generalized gradient projection and Armjio’s line search, we present a new algorithm for the nonlinear minimax problems. At each iteration, the improved search direction is generated by an ε-generalized gradient projection explicit formula. Under some mild assumptions, the algorithm possesses global and strong convergence. Finally, some preliminary numerical results show that the proposed algorithm performs efficiently.
引用
收藏
页码：693 / 700
页数：7
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