CSpace
A subspace limited memory quasi-Newton algorithm for large-scale nonlinear bound constrained optimization
Ni, Q; Yuan, Y
1997-10-01
发表期刊MATHEMATICS OF COMPUTATION
ISSN0025-5718
卷号66期号:220页码:1509-1520
摘要In this paper we propose a subspace limited memory quasi-Newton method for solving large-scale optimization with simple bounds on the variables. The limited memory quasi-Newton method is used to update the variables with indices outside of the active set, while the projected gradient method is used to update the active variables. The search direction consists of three parts: a subspace quasi-Newton direction, and two subspace gradient and modified gradient directions. Our algorithm can be applied to large-scale problems as there is no need to solve any subproblems. The global convergence of the method is proved and some numerical results are also given.
关键词subspace quasi-Newton method limited memory projected search large-scale problem bound constrained optimization
语种英语
WOS研究方向Mathematics
WOS类目Mathematics, Applied
WOS记录号WOS:A1997YE06700007
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/28917
专题中国科学院数学与系统科学研究院
通讯作者Ni, Q
作者单位CHINESE ACAD SCI,INST COMPUTAT MATH & SCI ENGN COMP,LSEC,POB 2719,BEIJING 100080,PEOPLES R CHINA
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Ni, Q,Yuan, Y. A subspace limited memory quasi-Newton algorithm for large-scale nonlinear bound constrained optimization[J]. MATHEMATICS OF COMPUTATION,1997,66(220):1509-1520.
APA Ni, Q,&Yuan, Y.(1997).A subspace limited memory quasi-Newton algorithm for large-scale nonlinear bound constrained optimization.MATHEMATICS OF COMPUTATION,66(220),1509-1520.
MLA Ni, Q,et al."A subspace limited memory quasi-Newton algorithm for large-scale nonlinear bound constrained optimization".MATHEMATICS OF COMPUTATION 66.220(1997):1509-1520.
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