A new modification of the quasi-newton method for unconstrained optimization

Hamsa Th. Saeed Chilmeran (University of Mosul)
Huda I. Ahmed (University of Mosul)
Eman T. Hamed (University of Mosul)
Abbas Y. Al-Bayati (University of Telafer, Tall’Afar, Iraq.)

Indonesian Journal of Electrical Engineering and Computer Science
Vol 21, No 3: March 2021

In this work we propose and analyze a hybrid conjugate gradient (CG) method in which the parameter is computed as a linear combination between Hager-Zhang [HZ] and Dai-Liao [DL] parameters. We use this proposed method to modify BFGS method and to prove the positive definiteness and QN-conditions of the matrix. Theoretical trils confirm that the new search directions aredescent directions under some conditions, as well as, the new search directions areglobally convergent using strong Wolfe conditions. The numerical experiments show that the proposed method is promising and outperforms alternative similar CG-methods using Dolan-Mor'e performance profile.