Skip to content

Author

Y. Chaib

We have 2 of 18 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Sep 2026

Another hybrid conjugate gradient method as a convex combination of NVHS∗ and CD methods

Conjugate gradient methods play a fundamental role in solving unconstrained optimization problems. We propose a new hybrid conjugate gradient algorithm that forms a convex combination of βNVHS∗k and βCDk. The parameter θk is determined so as to satisfy the conjugacy condition. Under the strong Wolfe line search conditi...

A. Mehamdia, Y. Chaib, T. Bechouat et al. · 0 citations
Open access Oct 2026

A convex combination conjugate gradient algorithm with application in mode function

Conjugate gradient methods are a popular class of iterative methods for solving linear systems of equations and nonlinear optimization problems. In this paper, we suggest a new hybrid nonlinear conjugate gradient method, in which the conjugate gradient coefficient $\beta _{k}$ is a convex combination of $\beta _{k}^{NV...

A. Mehamdia, Y. Chaib, T. Bechouat · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.