A Nonmonotone Line Search Slackness Technique for Unconstrained Optimization

被引：0
|
作者：
Ping Hu
Xu-Qing Liu
机构：
[1] Huaiyin Institute of Technology,Faculty of Mathematics and Physics
来源：
Journal of Optimization Theory and Applications | 2013年 / 158卷
关键词：
Unconstrained optimization problem; Nonmonotone line search slackness technique; BFGS algorithm;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper mainly aims to study a new nonmonotone line search slackness technique for unconstrained optimization problems and show that it possesses the global convergence without needing condition of convexity. We establish the corresponding algorithm and illustrate its effectiveness by virtue of some numerical tests. Simulation results indicate that the proposed method is very effective for non-convex functions.
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页码：773 / 786
页数：13
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