A New Nonlinear Conjugate Gradient Coefficient for Unconstrained Optimization
0 Applied Mathematical Sciences, 9, 37, 2015, 1813-1822
Abstract | ملخص البحث
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) .