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A nonmonotone inexact Newton method for unconstrained optimization
Gao, Huan1; Zhang, Hai-Bin1; Li, Zhi-Bao2; Tadjouddine, Emmanuel3
2017-06-01
发表期刊OPTIMIZATION LETTERS
ISSN1862-4472
卷号11期号:5页码:947-965
摘要It is well known that the Newton method has a second order rate of convergence and that it is widely used to solve optimization problems and nonlinear equations which arise from computational science, engineering analysis and other applications. However, two big disadvantages hinder its application: high computational cost for large scale problems and poor global performance in some complicated and difficult problems. Some inexact Newton methods have emerged over time. Among them, the Newton preconditioned conjugate gradient method is the most efficient and popular approach to overcome the first shortcoming while keeping rapid convergence. In this paper, we have improved the global performance of the inexact Newton method by developing a nonmonotone line search technique. We have also proved the global convergence of the proposed method under some conditions. Numerical experiments on a set of standard test problems are reported. They have shown that the proposed algorithm is promising.
关键词Inexact Newton method Nonmonotone line search Preconditioned conjugate gradient Global convergence
DOI10.1007/s11590-015-0976-2
语种英语
资助项目National Natural Science Foundation of China[61179033] ; Collaborative Innovation Center on Beijing Society-building and Social Governance ; China Postdoctoral Science Foundation[2014M561081]
WOS研究方向Operations Research & Management Science ; Mathematics
WOS类目Operations Research & Management Science ; Mathematics, Applied
WOS记录号WOS:000401258300005
出版者SPRINGER HEIDELBERG
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/25361
专题中国科学院数学与系统科学研究院
通讯作者Gao, Huan
作者单位1.Beijing Univ Technol, Coll Appl Sci, Beijing, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Inst Computat Math & Sci Engn Comp, State Key Lab Sci & Engn Comp, Beijing, Peoples R China
3.Xian Jiaotong Liverpool Univ, Comp Sci & Software Engn, SIP, Suzhou, Peoples R China
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Gao, Huan,Zhang, Hai-Bin,Li, Zhi-Bao,et al. A nonmonotone inexact Newton method for unconstrained optimization[J]. OPTIMIZATION LETTERS,2017,11(5):947-965.
APA Gao, Huan,Zhang, Hai-Bin,Li, Zhi-Bao,&Tadjouddine, Emmanuel.(2017).A nonmonotone inexact Newton method for unconstrained optimization.OPTIMIZATION LETTERS,11(5),947-965.
MLA Gao, Huan,et al."A nonmonotone inexact Newton method for unconstrained optimization".OPTIMIZATION LETTERS 11.5(2017):947-965.
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