Developments in computational optimization techniques of conjugate gradient coefficient, search direction, Broyden-Fletcher-Goldfarb-Shanno, symmetric-rank one and Davidon-Fletcher-Powell quasi-Newton methods.

Autors/ores

  • A. Adams*† Department of Mathematics, Federal University of Technology, Minna, Niger State, Nigeria.
  • U.Y. Abubakar*‡ Department of Mathematics, Federal University of Technology, Minna, Niger State, Nigeria.
  • U. Abubakar*
  • Y. Yakubu*

Paraules clau:

unconstrained optimization, quasi-newton method, hybridization, global convergence, symmetric-rank-one (sr1), Davidon-Fletcher-Powell (DFP)

Resum

In this paper, we propose a modified Conjugate Gradient Coefficient (

Descàrregues

Publicades

2023-09-30

Com citar

Adams*†, A. ., Abubakar*‡, U. ., Abubakar*, U. ., & Yakubu*, Y. . (2023). Developments in computational optimization techniques of conjugate gradient coefficient, search direction, Broyden-Fletcher-Goldfarb-Shanno, symmetric-rank one and Davidon-Fletcher-Powell quasi-Newton methods. International Journal of Mathematical Analysis and Modelling, 5(4). Retrieved from https://tnsmb.org/journal/index.php/ijmam/article/view/63

Número

Vol. 5 No 4 (2022): Volume 5, Issue 4 (Nov.) 2022

Secció

Articles