Two Modified Spectral Conjugate Gradient methods for Optimization

This paper presents two modified spectral conjugate gradient methods which are designed for solving nonlinear unconstrained optimization problems. The presented methods have sufficient descent properties . We prove that the methods is globally convergent. Experimental results indicate that the new proposed methods more efficient than the Dai and Yuan - method . .