A descent modified Polak-Ribiere-Polyak conjugate gradient method and its global convergence

被引:19
|
作者
Zhang, Li
Zhou, Weijun [2 ]
Li, Dong-Hui
机构
[1] Changsha Univ Sci & Technol, Inst Math, Changsha 410077, Peoples R China
[2] Hunan Univ, Coll Math & Econonmet, Changsha 410082, Peoples R China
基金
美国国家科学基金会;
关键词
PRP method; MPRP method; Armijo-type line search; global convergence;
D O I
10.1093/imanum/drl016
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, we propose a modified Polak-Ribiere-Polyak (PRP) conjugate gradient method. An attractive property of the proposed method is that the direction generated by the method is always a descent direction for the objective function. This property is independent of the line search used. Moreover, if exact line search is used, the method reduces to the ordinary PRP method. Under appropriate conditions, we show that the modified PRP method with Armijo-type line search is globally convergent. We also present extensive preliminary numerical experiments to show the efficiency of the proposed method.
引用
收藏
页码:629 / 640
页数:12
相关论文
共 50 条