Author

Y. Chaib

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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. · Applied Mathematics · 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 · Uzbek Mathematical Journal · 0 citations