A modified of Dai and Yuan method for solving unconstrained optimization problems

The conjugate gradient (CG) method is the most widely used and has an important role in solving unconstrained optimization problems over a large scale due to its simplicity and lack of need for memory. Whereas a new parameter was proposed that enhances the Dai-Yuan formula so that it achieves better numerical results, in addition to the overall regression and convergence properties of the proposed method. The proposed method was compared with classical methods."