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Global convergence of the DY conjugate gradient method with Armijo line search for unconstrained optimization problems

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成果类型:
期刊论文
作者:
Zhang, Li;Zhou, Weijun*;Li, Donghui
通讯作者:
Zhou, Weijun
作者机构:
[Zhou, Weijun] Changsha Univ Sci & Technol, Coll Math & Computat Sci, Changsha 410077, Peoples R China.
Hunan Univ, Coll Math & Econometr, Changsha 410082, Peoples R China.
通讯机构:
[Zhou, Weijun] C
Changsha Univ Sci & Technol, Coll Math & Computat Sci, Changsha 410077, Peoples R China.
语种:
英文
关键词:
Constrained optimization;Function evaluation;Gradient methods;Numerical methods;Problem solving;Search engines;Armijo line search;DY methods;Global convergence;Unconstrained optimization problems;Convergence of numerical methods
期刊:
Optimization Methods and Software
ISSN:
1055-6788
年:
2007
卷:
22
期:
3
页码:
511-517
基金类别:
The authors would like to thank the anonymous reviewers for their helpful comments on the paper. The work was done while the authors were working in the State Key Laboratory of Advanced Design and Manufacture for Vehicle Body of Hunan University. This work was supported by 973 project granted 2004CB719402 and National Nature Science Foundation of China granted 10471036.
机构署名:
本校为第一且通讯机构
院系归属:
数学与统计学院
摘要:
Generally, global convergence of the conjugate gradient methods for unconstrained optimization problems needs Wolfe line search or strong Wolfe line search. In this article, we propose a cautious DY conjugate gradient method and prove that this method with Armijo line search converges globally if the objective function has Lipschitz continuous gradients. We also present some preliminary numerical resu...

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