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Author

A. Mehamdia

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2 papers indexed here

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Open access Sep 2026

A DL -like Hybrid of DY Conjugate Gradient Algorithm for Unconstrained Optimization Problems with Application in Mode Function

Conjugate gradient methods have come a long way in solving system of equations and large scaled optimization problems. In this paper, a hybrid conjugate gradient method which incorporates the DY update parameter and herein constructed conjugate gradient solver that uses Dai-Liao conjugacy conditions is proposed for non...

S. Ayinde, A. Mehamdia, J. Adelodun 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

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