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A nonlinear conjugate gradient method with a strong global convergence property
Dai, YH; Yuan, Y
1999-11-29
Source PublicationSIAM JOURNAL ON OPTIMIZATION
ISSN1052-6234
Volume10Issue:1Pages:177-182
AbstractConjugate gradient methods are widely used for unconstrained optimization, especially large scale problems. The strong Wolfe conditions are usually used in the analyses and implementations of conjugate gradient methods. This paper presents a new version of the conjugate gradient method, which converges globally, provided the line search satisfies the standard Wolfe conditions. The conditions on the objective function are also weak, being similar to those required by the Zoutendijk condition.
Keywordunconstrained optimization new conjugate gradient method Wolfe conditions global convergence
Language英语
WOS Research AreaMathematics
WOS SubjectMathematics, Applied
WOS IDWOS:000084703500011
PublisherSIAM PUBLICATIONS
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/14109
Collection中国科学院数学与系统科学研究院
Corresponding AuthorDai, YH
AffiliationChinese Acad Sci, Inst Computat Math & Sci Engn Comp, State Key Lab Sci & Engn Comp, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714		 Dai, YH,Yuan, Y. A nonlinear conjugate gradient method with a strong global convergence property[J]. SIAM JOURNAL ON OPTIMIZATION,1999,10(1):177-182.
APA Dai, YH,&Yuan, Y.(1999).A nonlinear conjugate gradient method with a strong global convergence property.SIAM JOURNAL ON OPTIMIZATION,10(1),177-182.
MLA Dai, YH,et al."A nonlinear conjugate gradient method with a strong global convergence property".SIAM JOURNAL ON OPTIMIZATION 10.1(1999):177-182.
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