Chenna Nasreddine, Sellami Badreddine and Mohammed Belloufi (2021) A new hybrid conjugate gradient method of unconstrained optimization methods. Asian-European Journal of Mathematics , (),
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Abstract
In this paper, we present a new hybrid method to solve a nonlinear unconstrained op-
timization problem by using conjugate gradient, which is a convex combination of Y.
Liu-C. Storey (LS) conjugate gradient method and Hager-Zhang (HZ) conjugate gradi-
ent method.
This method possesses the sucient descent property with Strong Wolfe line search and
the global convergence with the strong Wolfe line search.
In the end of this paper, we illustrate our method by giving some numerical examples.
timization problem by using conjugate gradient, which is a convex combination of Y.
Liu-C. Storey (LS) conjugate gradient method and Hager-Zhang (HZ) conjugate gradi-
ent method.
This method possesses the sucient descent property with Strong Wolfe line search and
the global convergence with the strong Wolfe line search.
In the end of this paper, we illustrate our method by giving some numerical examples.
Information
| Item Type | Journal |
|---|---|
| Divisions |
» Laboratory of Computer Science and Mathematics |
| ePrint ID | 4864 |
| Date Deposited | 2024-02-19 |
| Further Information | Google Scholar |
| URI | https://univ-soukahras.dz/en/publication/article/4864 |
BibTex
@article{uniusa4864,
title={A new hybrid conjugate gradient method of unconstrained optimization methods},
author={Chenna Nasreddine, Sellami Badreddine and Mohammed Belloufi},
journal={Asian-European Journal of Mathematics}
year={2021},
volume={},
number={},
pages={},
publisher={}
}
title={A new hybrid conjugate gradient method of unconstrained optimization methods},
author={Chenna Nasreddine, Sellami Badreddine and Mohammed Belloufi},
journal={Asian-European Journal of Mathematics}
year={2021},
volume={},
number={},
pages={},
publisher={}
}