Mohamed Hamoda, Mohd Rivaie ,Mustafa Mamat, Zabidin Salleh
Abstract
In this paper, we suggest a new nonlinear conjugate gradient method for
solving large-scale unconstrained optimization problems. We prove that the new conjugate gradient coefficient β k with exact line search is globally convergent Preliminary numerical results with a set of 116 unconstrained optimization problems show that βk is very promising and efficient when compared to the other conjugate gradient coefficients Fletcher - Reeves (FR) and Polak -Ribiere -
Polyak (PRP) .
محمد احمد حموده | Mohamed Ahmed Hamoda | 20141