@Article{JCM-21-311,
author = { , Yu-Hong Dai and Ni , Qin},
title = {Testing Different Conjugate Gradient Methods for Large-Scale Unconstrained Optimization},
journal = {Journal of Computational Mathematics},
year = {2003},
volume = {21},
number = {3},
pages = {311--320},
abstract = {<p style="text-align: justify;">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.</p>},
issn = {1991-7139},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jcm/10259.html}
}