Mohammed BELLOUFI and Benzine Rachid (2015) A new method for large-scale unconstrained optimization. 20-ème colloque de la SMT -CSMT2015- , Sousse. Tunis
Scientific Publications
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Abstract
Conjugate gradient methods are probably the most famous iterative methods for solving large scale optimization problems in scientific and engineering computation, characterized by the simplicity of their iteration and their low memory requirements. It is well known that the search direction plays a main role in the line search method. In this paper, we propose a new search direction with the Wolfe line search technique for solving unconstrained optimization problems. Under the above line searches and some assumptions, the global convergence properties of the given methods are discussed. Numerical results and comparisons with other CG methods are given.
Information
| Item Type | Conference |
|---|---|
| Divisions |
» Laboratory of Computer Science and Mathematics » Faculty of Science and Technology |
| ePrint ID | 328 |
| Date Deposited | 2015-03-21 |
| Further Information | Google Scholar |
| URI | https://univ-soukahras.dz/en/publication/article/328 |
BibTex
@inproceedings{uniusa328,
title={A new method for large-scale unconstrained optimization},
author={Mohammed BELLOUFI and Benzine Rachid},
year={2015},
booktitle={20-ème colloque de la SMT -CSMT2015-}
}
title={A new method for large-scale unconstrained optimization},
author={Mohammed BELLOUFI and Benzine Rachid},
year={2015},
booktitle={20-ème colloque de la SMT -CSMT2015-}
}