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.

Auteurs

  • 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*

Mots-clés :

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

Résumé

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

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Publiée

2023-09-30

Comment citer

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). Consulté à l’adresse https://tnsmb.org/journal/index.php/ijmam/article/view/63

Numéro

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

Rubrique

Articles