Scientific Publications

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Abstract

In this paper, we introduce a class of non-monotone conjugate gradient methods, which include the well-known Polak-Ribiere method and Hestenes-Stiefel method as special cases. This class of nonmonotone conjugate gradient methods is proved to be globally convergent when it is applied to solve unconstrained optimization problems with convex objective functions


BibTex

@inproceedings{uniusa133,
    title={A Nomonotone Conjugate Gradient Methods for Unconstrained Optimization},
    author={Mohammed BELLOUFI, Benzine Rachid and Laskri Yamina},
    year={2012},
    booktitle={Colloque International sur les Sciences Mathématiques}
}