Mohammed BELLOUFI, Benzine Rachid and Laskri Yamina (2012) A Nomonotone Conjugate Gradient Methods for Unconstrained Optimization. Colloque International sur les Sciences Mathématiques , Tébessa, Algérie
Scientific Publications
Important: This page is frozen. New documents are now available in the digital repository DSpace
Abstract
In this paper, we introduce a class of non-monotone conjugate gradient methods, which include the well-known Polak-Ribiere method and Hestenes-Stiefel method as special cases. This class of nonmonotone conjugate gradient methods is proved to be globally convergent when it is applied to solve unconstrained optimization problems with convex objective functions
Information
Item Type | Conference |
---|---|
Divisions |
» Laboratory of Computer Science and Mathematics » Faculty of Science and Technology |
ePrint ID | 133 |
Date Deposited | 2014-11-22 |
Further Information | Google Scholar |
URI | https://univ-soukahras.dz/en/publication/article/133 |
BibTex
@inproceedings{uniusa133,
title={A Nomonotone Conjugate Gradient Methods for Unconstrained Optimization},
author={Mohammed BELLOUFI, Benzine Rachid and Laskri Yamina},
year={2012},
booktitle={Colloque International sur les Sciences Mathématiques}
}
title={A Nomonotone Conjugate Gradient Methods for Unconstrained Optimization},
author={Mohammed BELLOUFI, Benzine Rachid and Laskri Yamina},
year={2012},
booktitle={Colloque International sur les Sciences Mathématiques}
}