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Testing different conjugate gradient methods for large-scale unconstrained optimization
Dai, YH; Ni, Q
2003-05-01
Source PublicationJOURNAL OF COMPUTATIONAL MATHEMATICS
ISSN0254-9409
Volume21Issue:3Pages:311-320
AbstractIn this paper we test different conjugate gradient (CG) methods for solving large-scale unconstrained optimization problems. The methods are divided in two groups: the first group includes five basic CG methods and the second five hybrid CG methods. A collection of medium-scale and large-scale test problems are drawn from a standard code of test problems, CUTE. The conjugate gradient methods are ranked according to the numerical results. Some remarks are given.
Keywordconjugate gradient methods large-scale unconstrained optimization numerical tests
Language英语
WOS Research AreaMathematics
WOS SubjectMathematics, Applied ; Mathematics
WOS IDWOS:000183218200006
PublisherVSP BV
Citation statistics
Cited Times:33[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/18629
Collection中国科学院数学与系统科学研究院
Affiliation1.Chinese Acad Sci, Acad Math & Syst Sci, ICMSEC, LSEC, Beijing 100080, Peoples R China
2.Nanjing Univ Aeronaut & Astronaut, Coll Sci, Nanjing 210016, Peoples R China
Recommended Citation
GB/T 7714
Dai, YH,Ni, Q. Testing different conjugate gradient methods for large-scale unconstrained optimization[J]. JOURNAL OF COMPUTATIONAL MATHEMATICS,2003,21(3):311-320.
APA Dai, YH,&Ni, Q.(2003).Testing different conjugate gradient methods for large-scale unconstrained optimization.JOURNAL OF COMPUTATIONAL MATHEMATICS,21(3),311-320.
MLA Dai, YH,et al."Testing different conjugate gradient methods for large-scale unconstrained optimization".JOURNAL OF COMPUTATIONAL MATHEMATICS 21.3(2003):311-320.
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