Two modified QN-algorithms for solving unconstrained optimization problems

Abstract EN

This paper presents two modified Quasi-Newton algorithms which are designed for solving nonlinear unconstrained optimization problems.

These algorithms are based on different techniques namely : Quasi-Newton conditions on quadratic and nonquadratic objective functions.

Experimental results indicate that the new proposed algorithms are more efficient than the Yuan and Biggs- algorithms.