Year: 2003
Author: Yu-Hong Dai, Qin Ni
Journal of Computational Mathematics, Vol. 21 (2003), Iss. 3 : pp. 311–320
Abstract
In 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.
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Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/2003-JCM-10259
Journal of Computational Mathematics, Vol. 21 (2003), Iss. 3 : pp. 311–320
Published online: 2003-01
AMS Subject Headings:
Copyright: COPYRIGHT: © Global Science Press
Pages: 10
Keywords: Conjugate gradient methods Large-scale Unconstrained optimization Numerical tests.