Global Convergence of Conjugate Gradient Method in Unconstrained Optimization Problems

摘要

In this study, we propose a new parameter in conjugate gradient method. It is shown that the new method fulfills the sufficient descent condition with the strong Wolfe condition when inexact line search has been used. The numerical results of this suggested method also shown that this method outperforms to other standard conjugate gradient method.