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A three-parameter family of nonlinear conjugate gradient methods
Dai, YH; Yuan, Y
2001
发表期刊MATHEMATICS OF COMPUTATION
ISSN0025-5718
卷号70期号:235页码:1155-1167
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.
关键词unconstrained optimization conjugate gradient methods line search global convergence
语种英语
WOS研究方向Mathematics
WOS类目Mathematics, Applied
WOS记录号WOS:000168520600012
出版者AMER MATHEMATICAL SOC
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/16124
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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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.
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