K. Abbo, K., M. Khudhur, H. (2016). New A hybrid Hestenes-Stiefel and Dai-Yuan conjugate gradient algorithms for unconstrained optimization. Alustath, 21(1), 118-123.
Khalil K. Abbo; Hisham M. Khudhur. "New A hybrid Hestenes-Stiefel and Dai-Yuan conjugate gradient algorithms for unconstrained optimization". Alustath, 21, 1, 2016, 118-123.
K. Abbo, K., M. Khudhur, H. (2016). 'New A hybrid Hestenes-Stiefel and Dai-Yuan conjugate gradient algorithms for unconstrained optimization', Alustath, 21(1), pp. 118-123.
K. Abbo, K., M. Khudhur, H. New A hybrid Hestenes-Stiefel and Dai-Yuan conjugate gradient algorithms for unconstrained optimization. Alustath, 2016; 21(1): 118-123.

New A hybrid Hestenes-Stiefel and Dai-Yuan conjugate gradient algorithms for unconstrained optimization

Tikrit Journal of Pure Science
Article 1, Volume 21, Issue 1, January 2016, Pages 118-123
Authors
Khalil K. Abbo; Hisham M. Khudhur
Abstract
In this Research we developed a New Hybrid method of conjugate gradient type, this Method depends basically on combining Hestenes-Stiefel and Dai-Yuan algorithms by using spectral direction conjugate algorithm, which is developed by Yang Z & Kairong W [19]. The developed method becomes converged by assuming some hypothesis. The numerical results show the efficiency of the developed method for solving test Unconstrained Nonlinear Optimization problems.
Statistics
Article View: 31
PDF Download: 6


Journal Management System. Powered by ejournalplus.com