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Gradient methods with adaptive step-sizes
Zhou, Bin; Gao, Li; Dai, Yu-Hong
2006-09-01
发表期刊COMPUTATIONAL OPTIMIZATION AND APPLICATIONS
ISSN0926-6003
卷号35期号:1页码:69-86
摘要Motivated by the superlinear behavior of the Barzilai-Borwein (BB) method for two-dimensional quadratics, we propose two gradient methods which adaptively choose a small step-size or a large step-size at each iteration. The small step-size is primarily used to induce a favorable descent direction for the next iteration, while the large step-size is primarily used to produce a sufficient reduction. Although the new algorithms are still linearly convergent in the quadratic case, numerical experiments on some typical test problems indicate that they compare favorably with the BB method and some other efficient gradient methods.
关键词linear system gradient method adaptive step-size Barzilai-Borwein method superlinear behavior trust-region approach
DOI10.1007/s10589-006-6446-0
语种英语
WOS研究方向Operations Research & Management Science ; Mathematics
WOS类目Operations Research & Management Science ; Mathematics, Applied
WOS记录号WOS:000240256500004
出版者SPRINGER
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/2504
专题计算数学与科学工程计算研究所
通讯作者Zhou, Bin
作者单位1.Peking Univ, Sch Math Sci, Beijing 100871, Peoples R China
2.Peking Univ, LMAM, Beijing 100871, Peoples R China
3.Chinese Acad Sci, State Key Lab Sci & Engn Comp, Inst Computat Math & Sci Engn Comp, Acad Math & Syst Sci, Beijing 100080, Peoples R China
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Zhou, Bin,Gao, Li,Dai, Yu-Hong. Gradient methods with adaptive step-sizes[J]. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS,2006,35(1):69-86.
APA Zhou, Bin,Gao, Li,&Dai, Yu-Hong.(2006).Gradient methods with adaptive step-sizes.COMPUTATIONAL OPTIMIZATION AND APPLICATIONS,35(1),69-86.
MLA Zhou, Bin,et al."Gradient methods with adaptive step-sizes".COMPUTATIONAL OPTIMIZATION AND APPLICATIONS 35.1(2006):69-86.
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