Mohammed BELLOUFI, Benzine Rachid and Laskri Yamina (2011) Global convergence of a modified hybrid DY and HS conjugate gradient method for non convexe optimization. 1ier Workshop International en théorie de contrôle et optimization , Mostaganem
Scientific Publications
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Abstract
The conjugate gradient method is a useful and powerful approach for solving
large-scale minimization problems. Dai and Yuan developed a conjugate gradient method,
which has good numerical performance and global convergence result under line searches such
as Wolfe and strong Wolfe line search .Recently, we propose a modiÖcation of the Daiñ Yuan
conjugate gradient algorithm, which produces a descent search direction at every iteration
and converges globally provided that the line search satisÖes the weak Wolfe conditions.
large-scale minimization problems. Dai and Yuan developed a conjugate gradient method,
which has good numerical performance and global convergence result under line searches such
as Wolfe and strong Wolfe line search .Recently, we propose a modiÖcation of the Daiñ Yuan
conjugate gradient algorithm, which produces a descent search direction at every iteration
and converges globally provided that the line search satisÖes the weak Wolfe conditions.
Information
| Item Type | Conference |
|---|---|
| Divisions |
» Faculty of Science and Technology |
| ePrint ID | 135 |
| Date Deposited | 2014-11-22 |
| Further Information | Google Scholar |
| URI | https://univ-soukahras.dz/en/publication/article/135 |
BibTex
@inproceedings{uniusa135,
title={Global convergence of a modified hybrid DY and HS conjugate gradient method for non convexe optimization},
author={Mohammed BELLOUFI, Benzine Rachid and Laskri Yamina},
year={2011},
booktitle={1ier Workshop International en théorie de contrôle et optimization}
}
title={Global convergence of a modified hybrid DY and HS conjugate gradient method for non convexe optimization},
author={Mohammed BELLOUFI, Benzine Rachid and Laskri Yamina},
year={2011},
booktitle={1ier Workshop International en théorie de contrôle et optimization}
}