B. Sellami

A new hybrid conjugate gradient method as a convex combination of HZ and FR and PRP methods

In this paper, we propose a new conjugate gradient method for solving unconstrained optimization problem, whom is convex combination of the Hager-Zhan, Fletcher-Reeves and Polak-Ribére-Polyak algorithms. The search direction satisfies the sufficient descent condition and guarantees global convergence under the strong W...