A New sufficient descent Conjugate Gradient Method for Nonlinear Optimization

Abstract

In this paper, a new conjugate gradient method based on exact step size which produces sufficient descent search direction at every iteration is introduced. We prove its global convergence, and give some results to illustrate its efficiency by comparing with the Polak and Ribiere method.

Keywords

• conjugate gradient method
• nonlinear optimization