中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An efficient hybrid conjugate gradient method for unconstrained optimization

文献类型:期刊论文

作者Dai, YH; Yuan, Y
刊名ANNALS OF OPERATIONS RESEARCH
出版日期2001
卷号103页码:33-47
关键词unconstrained optimization conjugate gradient method line search descent property global convergence
ISSN号0254-5330
英文摘要Recently, we propose a nonlinear conjugate gradient method, which produces a descent search direction at every iteration and converges globally provided that the cline search satisfies the weak Wolfe conditions. In this paper, we will study methods related to the new nonlinear conjugate gradient method. Specifically, if the size of the scalar A with respect to the one in the new method belongs to some interval, then the corresponding methods are proved to be globally, convergent; otherwise, we are able to construct a convex quadratic example showing that the methods need not converge. Numerical experiments are made for two combinations of the new method and the Hestenes-Stiefel conjugate gradient method. The initial results show that, one of the hybrid methods is especially efficient for the given test problems.
WOS研究方向Operations Research & Management Science
语种英语
WOS记录号WOS:000173045500003
出版者KLUWER ACADEMIC PUBL
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/16710]  
专题计算数学与科学工程计算研究所
通讯作者Dai, YH
作者单位Chinese Acad Sci, Acad Math & Syst Sci, Inst Computat Math & Sci Engn Comp, State Key Lab Sci & Engn Comp, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Dai, YH,Yuan, Y. An efficient hybrid conjugate gradient method for unconstrained optimization[J]. ANNALS OF OPERATIONS RESEARCH,2001,103:33-47.
APA Dai, YH,&Yuan, Y.(2001).An efficient hybrid conjugate gradient method for unconstrained optimization.ANNALS OF OPERATIONS RESEARCH,103,33-47.
MLA Dai, YH,et al."An efficient hybrid conjugate gradient method for unconstrained optimization".ANNALS OF OPERATIONS RESEARCH 103(2001):33-47.

入库方式: OAI收割

来源:数学与系统科学研究院

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