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A new super-memory gradient method with curve search rule
Shi, ZJ; Shen, J
2005-11-01
发表期刊APPLIED MATHEMATICS AND COMPUTATION
ISSN0096-3003
卷号170期号:1页码:1-16
摘要In this paper, we propose a new super-memory gradient method with curve search rule for unconstrained optimization problems. The method uses previous multi-step iterative information and some curve search rules to generate new iterative points at each iteration. This makes the new method converge stably and be more suitable for solving large scale optimization problems than other similar methods. We analyze the global convergence and convergence rate under some mild conditions. Numerical experiments show that some new algorithms are available and effective in practical computation. (c) 2004 Elsevier Inc. All rights reserved.
关键词unconstrained optimization super-memory method curve search rule convergence
DOI10.1016/j.amc.2004.10.063
语种英语
WOS研究方向Mathematics
WOS类目Mathematics, Applied
WOS记录号WOS:000232968200001
出版者ELSEVIER SCIENCE INC
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/2019
专题中国科学院数学与系统科学研究院
通讯作者Shi, ZJ
作者单位1.Qufu Normal Univ, Coll Operat Res & Management, Shandong 276826, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Inst Computat Math & Sci Engn Comp, Beijing 100080, Peoples R China
3.Univ Michigan, Dept Comp & Informat Sci, Dearborn, MI 48128 USA
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Shi, ZJ,Shen, J. A new super-memory gradient method with curve search rule[J]. APPLIED MATHEMATICS AND COMPUTATION,2005,170(1):1-16.
APA Shi, ZJ,&Shen, J.(2005).A new super-memory gradient method with curve search rule.APPLIED MATHEMATICS AND COMPUTATION,170(1),1-16.
MLA Shi, ZJ,et al."A new super-memory gradient method with curve search rule".APPLIED MATHEMATICS AND COMPUTATION 170.1(2005):1-16.
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