Mohammed BELLOUFI, Benzine Rachid and Laskri Yamina (2012) New hybrid DY and HS conjugate gradient method. Congrès des mathématiciens algériens , Université Badji Mokhtar Annaba
Scientific Publications
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Abstract
It is well known that the hybrid conjugate gradient method plays a main role for solving large-scale minimization problems. In this paper, we propose a new new hybrid DY and HS conjugate gradient method. 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 modification of the Dai--Yuan conjugate gradient algorithm, which produces a descent search direction at every iteration and converges globally provided that the line search satisfies the weak Wolfe conditions.
Recently, we propose a modification of the Dai--Yuan conjugate gradient algorithm, which produces a descent search direction at every iteration and converges globally provided that the line search satisfies the weak Wolfe conditions.
Information
| Item Type | Conference |
|---|---|
| Divisions |
» Laboratory of Computer Science and Mathematics » Faculty of Science and Technology |
| ePrint ID | 134 |
| Date Deposited | 2014-11-22 |
| Further Information | Google Scholar |
| URI | https://univ-soukahras.dz/en/publication/article/134 |
BibTex
@inproceedings{uniusa134,
title={New hybrid DY and HS conjugate gradient method},
author={Mohammed BELLOUFI, Benzine Rachid and Laskri Yamina},
year={2012},
booktitle={Congrès des mathématiciens algériens}
}
title={New hybrid DY and HS conjugate gradient method},
author={Mohammed BELLOUFI, Benzine Rachid and Laskri Yamina},
year={2012},
booktitle={Congrès des mathématiciens algériens}
}