Abstract
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
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