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

  • 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

Published
Sep 23, 2018
How to Cite
K. ABBO, Khalil; M. KHUDHUR, Hisham. New A hybrid Hestenes-Stiefel and Dai-Yuan conjugate gradient algorithms for unconstrained optimization. Tikrit Journal of Pure Science, [S.l.], v. 21, n. 1, p. 118-123, sep. 2018. ISSN 2415-1726. Available at: <http://tjps.tu.edu.iq/index.php/j/article/view/313>. Date accessed: 30 nov. 2019.
Citation Formats
Issue
Vol 21 No 1 (2016)
Section
Articles