Amira Hamdi, Sellami Badreddine and Mohammed Belloufi (2021) New hyrid conjugate gradient method as a convex combination of HZ and CD methods. Asian-European Journal of Mathematics , (),
Scientific Publications
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Abstract
In this paper, a new hybrid conjugate gradient algorithm is proposed for solving unconstrained
optimization problems, the conjugate gradient parameter βk is computed as a
convex combination of βHZ
k and βCD
k . Under the wolfe line search, we prove the sufficient
descent and the global convergence. Numerical results are reported to show the
effectiveness of our procedure.
optimization problems, the conjugate gradient parameter βk is computed as a
convex combination of βHZ
k and βCD
k . Under the wolfe line search, we prove the sufficient
descent and the global convergence. Numerical results are reported to show the
effectiveness of our procedure.
Information
| Item Type | Journal |
|---|---|
| Divisions |
» Laboratory of Computer Science and Mathematics |
| ePrint ID | 4867 |
| Date Deposited | 2024-02-19 |
| Further Information | Google Scholar |
| URI | https://univ-soukahras.dz/en/publication/article/4867 |
BibTex
@article{uniusa4867,
title={New hyrid conjugate gradient method as a convex combination of HZ and CD methods},
author={Amira Hamdi, Sellami Badreddine and Mohammed Belloufi},
journal={Asian-European Journal of Mathematics}
year={2021},
volume={},
number={},
pages={},
publisher={}
}
title={New hyrid conjugate gradient method as a convex combination of HZ and CD methods},
author={Amira Hamdi, Sellami Badreddine and Mohammed Belloufi},
journal={Asian-European Journal of Mathematics}
year={2021},
volume={},
number={},
pages={},
publisher={}
}