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On the acceleration of the Barzilai-Borwein method
Huang, Yakui1; Dai, Yu-Hong2; Liu, Xin-Wei1; Zhang, Hongchao3
2022-01-13
发表期刊COMPUTATIONAL OPTIMIZATION AND APPLICATIONS
ISSN0926-6003
页码24
摘要The Barzilai-Borwein (BB) gradient method is efficient for solving large-scale unconstrained problems to modest accuracy due to its ingenious stepsize which generally yields nonmonotone behavior. In this paper, we propose a new stepsize to accelerate the BB method by requiring finite termination for minimizing the two-dimensional strongly convex quadratic function. Based on this new stepsize, we develop an efficient gradient method for quadratic optimization which adaptively takes the nonmonotone BB stepsizes and certain monotone stepsizes. Two variants using retard stepsizes associated with the new stepsize are also presented. Numerical experiments show that our strategies of properly inserting monotone gradient steps into the nonmonotone BB method could significantly improve its performance and our new methods are competitive with the most successful gradient descent methods developed in the recent literature.
关键词Barzilai-Borwein method Gradient methods Finite termination Quadratic optimization
DOI10.1007/s10589-022-00349-z
收录类别SCI
语种英语
资助项目National Natural Science Foundation of China[11701137] ; National Natural Science Foundation of China[11631013] ; National Natural Science Foundation of China[12071108] ; National Natural Science Foundation of China[11671116] ; National Natural Science Foundation of China[11991021] ; National Natural Science Foundation of China[12021001] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA27000000] ; China Scholarship Council[201806705007] ; Natural Science Foundation of Hebei Province[A2021202010] ; USA National Science Foundation[2110722] ; USA National Science Foundation[1819161] ; Beijing Academy of Artificial Intelligence (BAAI)
WOS研究方向Operations Research & Management Science ; Mathematics
WOS类目Operations Research & Management Science ; Mathematics, Applied
WOS记录号WOS:000742263000002
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/59866
专题中国科学院数学与系统科学研究院
通讯作者Huang, Yakui
作者单位1.Hebei Univ Technol, Inst Math, Tianjin 300401, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, ICMSEC, LSEC, Beijing 100190, Peoples R China
3.Louisiana State Univ, Dept Math, Baton Rouge, LA 70803 USA
推荐引用方式
GB/T 7714
Huang, Yakui,Dai, Yu-Hong,Liu, Xin-Wei,et al. On the acceleration of the Barzilai-Borwein method[J]. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS,2022:24.
APA Huang, Yakui,Dai, Yu-Hong,Liu, Xin-Wei,&Zhang, Hongchao.(2022).On the acceleration of the Barzilai-Borwein method.COMPUTATIONAL OPTIMIZATION AND APPLICATIONS,24.
MLA Huang, Yakui,et al."On the acceleration of the Barzilai-Borwein method".COMPUTATIONAL OPTIMIZATION AND APPLICATIONS (2022):24.
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