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.

Autori

  • 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*

##semicolon##

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

Abstrakt

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

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Publikované

2023-09-30

##submission.howToCite##

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). Cit z https://tnsmb.org/journal/index.php/ijmam/article/view/63

Číslo

Diel 5 Číslo 4 (2022): Volume 5, Issue 4 (Nov.) 2022

Sekcia

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