中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An adaptive conic trust-region method for unconstrained optimization

文献类型:期刊论文

作者Han, QM; Sun, WY; Han, JY; Sampaio, RJB
刊名OPTIMIZATION METHODS & SOFTWARE
出版日期2005-12-01
卷号20期号:6页码:665-677
关键词trust-region method conic model Quasi-Newton method non-linear programming self-adjust strategy
ISSN号1055-6788
DOI10.1080/10556780410001697677
英文摘要It is well known that among the current methods for unconstrained optimization problems the quasi-Newton methods with global strategy may be the most efficient methods, which have local superlinear convergence. However, when the iterative point is far away from the solution of the problem, quasi-Newton method may proceed slowly for the general unconstrained optimization problems. In this article an adaptive conic trust-region method for unconstrained optimization is presented. Not only the gradient information but also the values of the objective function are used to construct the local model at the current iterative point. Moreover, we define a concept of super steepest descent direction and embed its information into the local model. The amount of computation in each iteration of this adaptive algorithm is the same as that of the standard quasi-Newton method with trust region. Some numerical results show that the modified method requires fewer iterations than the standard methods to reach the solution of the optimization problem. Global and local convergence of the method is also analyzed.
WOS研究方向Computer Science ; Operations Research & Management Science ; Mathematics
语种英语
WOS记录号WOS:000234138300003
出版者TAYLOR & FRANCIS LTD
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/2264]  
专题中国科学院数学与系统科学研究院
通讯作者Sun, WY
作者单位1.Nanjing Normal Univ, Sch Math & Comp Sci, Nanjing 210097, Peoples R China
2.Chinese Acad Sci, Inst Appl Math, Beijing 100080, Peoples R China
3.Pontificia Univ Catolica Parana, Grad Program Prod & Syst Engn, BR-81611970 Curitiba, Parana, Brazil
推荐引用方式
GB/T 7714
Han, QM,Sun, WY,Han, JY,et al. An adaptive conic trust-region method for unconstrained optimization[J]. OPTIMIZATION METHODS & SOFTWARE,2005,20(6):665-677.
APA Han, QM,Sun, WY,Han, JY,&Sampaio, RJB.(2005).An adaptive conic trust-region method for unconstrained optimization.OPTIMIZATION METHODS & SOFTWARE,20(6),665-677.
MLA Han, QM,et al."An adaptive conic trust-region method for unconstrained optimization".OPTIMIZATION METHODS & SOFTWARE 20.6(2005):665-677.

入库方式: OAI收割

来源:数学与系统科学研究院

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