A class of nonmonotone conjugate gradient methods for nonconvex functions

被引：2
|
作者：
Liu Y. [1 ]
Wei Z. [2 ]
机构：
[1] Dept. of Math., Yunan Univ., Kunming
[2] Dept. of Math, and Inform. Sci., Guangxi Univ., Nanning
来源：
Applied Mathematics-A Journal of Chinese Universities | 2002年 / 17卷 / 2期
基金：
中国国家自然科学基金;
关键词：
Global convergence; Nonmonotone conjugate gradient method; Nonmonotone line search; Unconstrained optimization;
D O I：
10.1007/s11766-002-0047-1
中图分类号：
学科分类号：
摘要：
This paper discusses the global convergence of a class of nonmonotone conjugate gradient methods (NM methods) for nonconvex object functions. This class of methods includes the nonmonotone counterpart of modified Polak-Ribière method and modified Hestenes-Stiefel method as special cases. © 2002, Springer Verlag. All rights reserved.
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收藏
页码：208 / 214
页数：6
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