A new globally convergent of spectral Hideaki-Yasushi type conjugate gradient method

Abstract EN

This paper presents two new spectral conjugate gradient methods which are designed for solving nonlinear unconstrained optimization problems.

These methods are based on the idea of the Hideaki – Yasushi method.

Which produce sufficient descent search direction at every iteration.

Experimental results indicate that the new proposed methods more efficient than the Hideaki – Yasush method