A family of derivative-free conjugate gradient methods for large-scale nonlinear systems of equations

被引:22
|
作者
Cheng, Wanyou [1 ]
Xiao, Yunhai [2 ]
Hu, Qing-Jie [3 ]
机构
[1] Dongguan Univ Technol, Coll Software, Dongguan 523000, Peoples R China
[2] Henan Univ, Coll Math & Informat Sci, Inst Appl Math, Kaifeng 475004, Peoples R China
[3] Hunan Business Coll, Dept Informat, Changsha 410205, Hunan, Peoples R China
关键词
Conjugate gradient method; Nonmonotone line search; Global convergence; QUASI-NEWTON METHODS; CONVERGENCE; DESCENT;
D O I
10.1016/j.cam.2008.03.050
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, we propose a family of derivative-free conjugate gradient methods for large-scale nonlinear systems of equations. They come from two modified conjugate gradient methods [W.Y. Cheng, A two term PRP based descent Method, Numer. Funct. Anal. Optim. 28 (2007) 1217-1230; L. Zhang, W.J. Zhou. D.H. Li, A descent modified Polak-Ribiere-Polyak conjugate gradient method and its global convergence, IMA J. Numer. Anal. 26 (2006) 629-640] recently proposed for unconstrained optimization problems. Under appropriate conditions, the global convergence of the proposed method is established. Preliminary numerical results show that the proposed method is promising. (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:11 / 19
页数:9
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