Kamilu Kamfa, Rabiu B. Yunus, Sulaiman M. Ibrahim, Muhammad A. Lawan, Rulinawaty, Lukman Samboteng, Sofjan Aripin, M. Rachmat Kasmad, Ridho Harta, Ani Susanti, Syarif Fadillah, Arfriani Maifizar, Sopar Sopar
This works constructs a noble BFGS search direction for solving unconstrained optimization problems using a modified rational approximation model (MRAM). The new MRAM consists of an improve Barzilai and Borwein approximation and rational approximation model RAM. Based on the number of iteration and CPU time we show the new method out performs other standard methods. In addition, we show the noble search direction can be useful in estimating data from Covid-19. © 2024 American Institute of Physics Inc.. All rights reserved.
Department of Mathematical Science, Kano University of Science and Technology, Wudil, 713101, Nigeria; Institute of Strategic Industrial Decision Modelling (ISIDM), School of Quantitative Sciences, Universiti Utara Malaysia, UUM Sintok, Kedah, 06010, Malaysia; Department of Public Administration, Universitas Terbuka, Tangerang Selatan, 15418, Indonesia; Department of Administrative Science, POLITEKNIK Administration Science, Makassar, 90231, Indonesia; Faculty of Sport Science, Universitas Negeri Makassar, Makasar, 90222, Indonesia; Fakultas Ilmu Social Dan Ilmu Politik, Universitas Tadulako, Palu, 94148, Indonesia; Faculty of Social Science and Political Science, Universitas Teuku Umar, Aceh, 23681, Indonesia
