A New Type of Conjugate Gradient Method with a Sufficient Descent Property

Abstract

This paper presents the development and implementation of a new unconstrained optimization method; based on the inexact line searches. Our new proposed Conjugate Gradient (CG) method always produces descent search directions and has been shown to be a global convergence. Our numerical results are promising in general by implementing ten nonlinear different test functions with different dimensions.