A New Conjugate Gradient Method for Unconstrained Optimization

We propose a nonlinear conjugate gradient method for unconstrained optimization based on solving an optimization problem which has already been introduced and we have improved it using modified secant condition given by Zhang et al. (1999) and Zhang and Xu (2001). The global convergence of the new method is investigated under mild assumption and numerical results show that the new methodis so efficient and robust

Keywords:

Conjugate gradient method , unconstrained optimization , modified secant condition , global convergence.