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TESTING DIFFERENT CONJUGATE GRADIENT METHODS FOR LARGE-SCALE UNCONSTRAINED OPTIMIZATION
Dai Yuhong1; Qin Ni2
2003
Source PublicationJournal of Computational Mathematics
ISSN0254-9409
Volume21Issue:3Pages:311
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.
Language英语
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/18629
Collection计算数学与科学工程计算研究所
Affiliation1.中国科学院数学与系统科学研究院
2.南京航空航天大学
Recommended Citation
GB/T 7714
Dai Yuhong,Qin Ni. TESTING DIFFERENT CONJUGATE GRADIENT METHODS FOR LARGE-SCALE UNCONSTRAINED OPTIMIZATION[J]. Journal of Computational Mathematics,2003,21(3):311.
APA Dai Yuhong,&Qin Ni.(2003).TESTING DIFFERENT CONJUGATE GRADIENT METHODS FOR LARGE-SCALE UNCONSTRAINED OPTIMIZATION.Journal of Computational Mathematics,21(3),311.
MLA Dai Yuhong,et al."TESTING DIFFERENT CONJUGATE GRADIENT METHODS FOR LARGE-SCALE UNCONSTRAINED OPTIMIZATION".Journal of Computational Mathematics 21.3(2003):311.
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