Scaled search directions for nonlinear conjugate gradient methods
Abstract
In this paper, we have suggested an acceleration step-length for the search directions of a new proposed minimization algorithm, which is based on function and gradient values, we have dealt with the global convergent property for the new suggested algorithm and we have obtained sufficiently good numerical results by implementing some newly written Fortran programs in this field.
Copyright © 2012 Abbas Y. Al-Bayati, Omar M. Al-Shaher. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Cite this article
A. Y. A.-B. Omar M. Al-Shaher, Scaled search directions for nonlinear conjugate gradient methods, J. Math. Comput. Sci. 2 (2012), 1363–1376.
BibTeX
@article{Al-Shaher2012,
author = {Omar M. Al-Shaher, Abbas Y. Al-Bayati,},
title = {Scaled search directions for nonlinear conjugate gradient methods},
journal = {J. Math. Comput. Sci.},
volume = {2},
year = {2012},
pages = {1363--1376},
doi = {}
}