Abstract:
Nonlinear Conjugate Gradient (CG) methods are extensively used
for solving large-scale unconstrained optimization problems. Numerous of
studies constructed scales and modifications have been conducted recently to
improve (CG) methods. In this paper, a simple modified by its conjugate
gradient method was proposed. In addition to, established global convergence
property and sufficient descent condition, under Strong Wolfe line search.
Numerical result shows that the proposed formula is competitive when
compared to other well-known (CG) parameters.
