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.

Yazarlar

  • 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*

Anahtar Kelimeler:

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

Özet

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

İndir

Yayınlanmış

2023-09-30

Nasıl Atıf Yapılır

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). Geliş tarihi gönderen https://tnsmb.org/journal/index.php/ijmam/article/view/63

Sayı

Cilt 5 Sayı 4 (2022): Volume 5, Issue 4 (Nov.) 2022

Bölüm

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