Amina Hallal, Mohammed Belloufi and Sellami Badreddine (2023) Using a new hybrid conjugate gradient method with descent property. Journal of Information and Optimization Sciences , (),
Scientific Publications
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Abstract
The conjugate gradient method was an efficient technique for solving optimization
problems. In this paper, we propose a new efficient (CG) coefficient , k b is computed as
a convex combination of Salleh and Alhawarat algorithm and CG-Descent algorithm. We
prove the sufficient descent condition and the global convergence of the proposed method.
It is established that the k a satisfies the strong Wolfe line search conditions. The numerical
results indicate that our method is robust and competitive.
problems. In this paper, we propose a new efficient (CG) coefficient , k b is computed as
a convex combination of Salleh and Alhawarat algorithm and CG-Descent algorithm. We
prove the sufficient descent condition and the global convergence of the proposed method.
It is established that the k a satisfies the strong Wolfe line search conditions. The numerical
results indicate that our method is robust and competitive.
Information
| Item Type | Journal |
|---|---|
| Divisions |
» Laboratory of Computer Science and Mathematics |
| ePrint ID | 4862 |
| Date Deposited | 2024-02-19 |
| Further Information | Google Scholar |
| URI | https://univ-soukahras.dz/en/publication/article/4862 |
BibTex
@article{uniusa4862,
title={Using a new hybrid conjugate gradient method with descent property},
author={Amina Hallal, Mohammed Belloufi and Sellami Badreddine},
journal={Journal of Information and Optimization Sciences}
year={2023},
volume={},
number={},
pages={},
publisher={}
}
title={Using a new hybrid conjugate gradient method with descent property},
author={Amina Hallal, Mohammed Belloufi and Sellami Badreddine},
journal={Journal of Information and Optimization Sciences}
year={2023},
volume={},
number={},
pages={},
publisher={}
}