@Article{JCM-21-3,
author = {Yu-Hong, Dai and Qin, Ni},
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/2003-JCM-10259},
url = {https://global-sci.com/article/85318/testing-different-conjugate-gradient-methods-for-large-scale-unconstrained-optimization}
}