A New Formula for Conjugate Gradient in Unconstrained Optimization

  • Isam H. Hali1
  • Khalil K. Abbo2
  • Hassan H. Ebrahim3

Abstract

The method of Conjugate Gradient (CG) is a key component of optimization methods that aren't bound by local convergence characteristics. In this study, we created KHI3, a novel search direction in the (CG) Algorithm. The novel approach satisfies the regression criterion. The overall convergence of the proposed technique has also been proved utilizing Wolff search line words. A new algorithm for solving the large-scale unconstrained optimization issue is particularly successful.


 


http://dx.doi.org/10.25130/tjps.27.2022.012  

Published
Jan 24, 2022
How to Cite
HALI1, Isam H.; ABBO2, Khalil K.; EBRAHIM3, Hassan H.. A New Formula for Conjugate Gradient in Unconstrained Optimization. Tikrit Journal of Pure Science, [S.l.], v. 27, n. 1, p. 110-114, jan. 2022. ISSN 2415-1726. Available at: <https://tjps.tu.edu.iq/index.php/j/article/view/1256>. Date accessed: 23 may 2022. doi: http://dx.doi.org/10.25130/j.v27i1.1256.
Section
Articles