中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Convergence of line search methods for unconstrained optimization

文献类型:期刊论文

作者Shi, ZJ
刊名APPLIED MATHEMATICS AND COMPUTATION
出版日期2004-10-05
卷号157期号:2页码:393-405
关键词unconstrained minimization line search method convergence
ISSN号0096-3003
DOI10.1016/j.amc.2003.08.058
英文摘要Line search methods are traditional and successful methods for solving unconstrained optimization problems. Its convergence has attracted more attention in recent years. In this paper we analyze the general results on convergence of line search methods with seven line search rules. It is clarified that the search direction plays a main role in these methods and that step-size guarantees the global convergence in some cases. It is also proved that many line search methods have same convergence property. These convergence results can enable us to design powerful, effective, and stable algorithms in practice. Finally, a class of special line search methods is investigated. (C) 2003 Elsevier Inc. All rights reserved.
语种英语
WOS记录号WOS:000224276900009
出版者ELSEVIER SCIENCE INC
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/19347]  
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, Inst Computat Math & Sci Engn Comp, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Shi, ZJ. Convergence of line search methods for unconstrained optimization[J]. APPLIED MATHEMATICS AND COMPUTATION,2004,157(2):393-405.
APA Shi, ZJ.(2004).Convergence of line search methods for unconstrained optimization.APPLIED MATHEMATICS AND COMPUTATION,157(2),393-405.
MLA Shi, ZJ."Convergence of line search methods for unconstrained optimization".APPLIED MATHEMATICS AND COMPUTATION 157.2(2004):393-405.

入库方式: OAI收割

来源:数学与系统科学研究院

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