Amira HAMDI (2021) Sur quelques développements récents de la méthode du gradient conjugué. university of souk ahras
Scientific Publications
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Abstract
A new hybrid conjugate gradient algorithm is proposed for solving unconstrained optimization problems, the conjugate gradient parameter β_kis computed as a convex combination of Hager& Zhang et Dai and Yuan , producing a descent direction at each iteration and globally converges provided the linear search meets the requirements of Wolfe. Numerical experiments are performed to test the effectiveness of the new method, which confirms the potential of this method.
Key Words : Unconstrained optimization, Hybrid conjugate gradient method, algorithm, global convergence, line search of Wolfe.
Key Words : Unconstrained optimization, Hybrid conjugate gradient method, algorithm, global convergence, line search of Wolfe.
Information
| Item Type | Thesis |
|---|---|
| Divisions |
» Laboratory of Computer Science and Mathematics » Faculty of Science and Technology |
| ePrint ID | 2619 |
| Date Deposited | 2021-07-08 |
| Further Information | Google Scholar |
| URI | https://univ-soukahras.dz/en/publication/article/2619 |
BibTex
@phdthesis{uniusa2619,
title={Sur quelques développements récents de la méthode du gradient conjugué},
author={Amira HAMDI},
year={2021},
school={university of souk ahras}
}
title={Sur quelques développements récents de la méthode du gradient conjugué},
author={Amira HAMDI},
year={2021},
school={university of souk ahras}
}