中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A three-parameter family of nonlinear conjugate gradient methods

文献类型:期刊论文

作者Dai, YH; Yuan, Y
刊名MATHEMATICS OF COMPUTATION
出版日期2001
卷号70期号:235页码:1155-1167
关键词unconstrained optimization conjugate gradient methods line search global convergence
ISSN号0025-5718
英文摘要In this paper, we propose a three-parameter family of conjugate gradient methods for unconstrained optimization. The three-parameter family of methods not only includes the already existing six practical nonlinear conjugate gradient methods, but subsumes some other families of nonlinear conjugate gradient methods as its subfamilies. With Powell's restart criterion, the three-parameter family of methods with the strong Wolfe line search is shown to ensure the descent property of each search direction. Some general convergence results are also established for the three-parameter family of methods. This paper can also be regarded as a brief review on nonlinear conjugate gradient methods.
WOS研究方向Mathematics
语种英语
WOS记录号WOS:000168520600012
出版者AMER MATHEMATICAL SOC
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/16123]  
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
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GB/T 7714
Dai, YH,Yuan, Y. A three-parameter family of nonlinear conjugate gradient methods[J]. MATHEMATICS OF COMPUTATION,2001,70(235):1155-1167.
APA Dai, YH,&Yuan, Y.(2001).A three-parameter family of nonlinear conjugate gradient methods.MATHEMATICS OF COMPUTATION,70(235),1155-1167.
MLA Dai, YH,et al."A three-parameter family of nonlinear conjugate gradient methods".MATHEMATICS OF COMPUTATION 70.235(2001):1155-1167.

入库方式: OAI收割

来源:数学与系统科学研究院

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