Convergence of nonmonotone line search method

被引:58
作者
Shi, Zhen-Jun [1 ]
Shen, Jie
机构
[1] Qufu Normal Univ, Coll Operat Res & Management, Shandong 276826, Peoples R China
[2] Chinese Acad Sci, Acad Math & Syst Sci, Inst Computat Math & Sci Engn Comp, Beijing 100080, Peoples R China
[3] Univ Michigan, Dept Comp & Informat Sci, Dearborn, MI 48128 USA
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
unconstrained optimization; general line search method; nonmonotone line search; convergence;
D O I
10.1016/j.cam.2005.06.033
中图分类号
O29 [应用数学];
学科分类号
070104 [应用数学];
摘要
In this paper, we develop a new nonmonotone line search for general line search method and establish some global convergence theorems. The new nonmonotone line search is a novel form of the nonmonotone Armijo line search and allows one to choose a larger step size at each iteration, which is available in constructing new line search methods and possibly reduces the function evaluations at each iteration. Moreover, we analyze the convergence rate of some special line search methods with the new line search. Preliminary numerical results show that some line search methods with the new nonmonotone line search are available and efficient in practical computation. (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码:397 / 412
页数:16
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