中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Barzilai-Borwein conjugate gradient method

文献类型:期刊论文

作者Dai YuHong1; Kou CaiXia2
刊名SCIENCE CHINA-MATHEMATICS
出版日期2016-08-01
卷号59期号:8页码:1511-1524
关键词conjugate gradient method subspace minimization Barzilai-Bowein gradient method line search descent property global convergence
ISSN号1674-7283
DOI10.1007/s11425-016-0279-2
英文摘要The linear conjugate gradient method is an optimal method for convex quadratic minimization due to the Krylov subspace minimization property. The proposition of limited-memory BFGS method and Barzilai-Borwein gradient method, however, heavily restricted the use of conjugate gradient method for large-scale nonlinear optimization. This is, to the great extent, due to the requirement of a relatively exact line search at each iteration and the loss of conjugacy property of the search directions in various occasions. On the contrary, the limited-memory BFGS method and the Barzilai-Bowein gradient method share the so-called asymptotical one stepsize per line-search property, namely, the trial stepsize in the method will asymptotically be accepted by the line search when the iteration is close to the solution. This paper will focus on the analysis of the subspace minimization conjugate gradient method by Yuan and Stoer (1995). Specifically, if choosing the parameter in the method by combining the Barzilai-Borwein idea, we will be able to provide some efficient Barzilai-Borwein conjugate gradient (BBCG) methods. The initial numerical experiments show that one of the variants, BBCG3, is specially efficient among many others without line searches. This variant of the BBCG method might enjoy the asymptotical one stepsize per line-search property and become a strong candidate for large-scale nonlinear optimization.
WOS研究方向Mathematics
语种英语
WOS记录号WOS:000380212100005
出版者SCIENCE PRESS
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/23268]  
专题计算数学与科学工程计算研究所
通讯作者Dai YuHong
作者单位1.Chinese Acad Sci, Acad Math & Syst Sci, LSEC, Inst Computat Math & Sci Engn Comp, Beijing 100190, Peoples R China
2.Beijing Univ Posts & Telecommun, Sch Sci, Beijing 100876, Peoples R China
推荐引用方式
GB/T 7714
Dai YuHong,Kou CaiXia. A Barzilai-Borwein conjugate gradient method[J]. SCIENCE CHINA-MATHEMATICS,2016,59(8):1511-1524.
APA Dai YuHong,&Kou CaiXia.(2016).A Barzilai-Borwein conjugate gradient method.SCIENCE CHINA-MATHEMATICS,59(8),1511-1524.
MLA Dai YuHong,et al."A Barzilai-Borwein conjugate gradient method".SCIENCE CHINA-MATHEMATICS 59.8(2016):1511-1524.

入库方式: OAI收割

来源:数学与系统科学研究院

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