Mohamed Hamoda, Mohd Rivaie, Mustafa Mamat, Zabidin Salleh
Abstract
In this paper, an efficient nonlinear modified PRP conjugate gradient method is presented for solving large-scale unconstrained optimization problems. The sufficient descent property is satisfied under strong Wolfe-Powell (SWP) line search by restricting the parameter segma < 1/ 4 . The global convergence result is established under the (SWP) line search conditions. Numerical results, for a set consisting of 133 unconstrained optimization test problems, show that this method is better than the PRP method and the FR method.
محمد احمد حموده | Mohamed Ahmed Hamoda | 19031