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Global convergence of nonmonotone descent methods for unconstrained optimization problems
Sun, WY; Han, JY; Sun, J
2002-09-01
Source PublicationJOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
ISSN0377-0427
Volume146Issue:1Pages:89-98
AbstractGlobal convergence results are established for unconstrained optimization algorithms that utilize a nonmonotone line search procedure. This procedure allows the user to specify a flexible forcing function and includes the nonmonotone Armijo rule, the nonmonotone Goldstein rule, and the nonmonotone Wolfe rule as special cases. (C) 2002 Elsevier Science B.V. All rights reserved.
Keywordunconstrained optimization nonmonotone line search global convergence
Language英语
WOS Research AreaMathematics
WOS SubjectMathematics, Applied
WOS IDWOS:000177564400009
PublisherELSEVIER SCIENCE BV
Citation statistics
Cited Times:59[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/17821
Collection中国科学院数学与系统科学研究院
Affiliation1.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.Natl Univ Singapore, Singapore 117548, Singapore
4.Natl Univ Singapore, Singapore MIT Alliance, Singapore 117548, Singapore
Recommended Citation
GB/T 7714
Sun, WY,Han, JY,Sun, J. Global convergence of nonmonotone descent methods for unconstrained optimization problems[J]. JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS,2002,146(1):89-98.
APA Sun, WY,Han, JY,&Sun, J.(2002).Global convergence of nonmonotone descent methods for unconstrained optimization problems.JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS,146(1),89-98.
MLA Sun, WY,et al."Global convergence of nonmonotone descent methods for unconstrained optimization problems".JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS 146.1(2002):89-98.
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