A note on MBFGS-RAM method for solving unconstrained optimization problems and its application

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...

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Bibliographic Details
Main Authors: Kamfa, Kamilu, Yunus, Rabiu B., Ibrahim, Sulaiman M., Lawan, Muhammad A., Rulinawaty, Samboteng, Lukman, Aripin, Sofjan, Kasmad, M. Rachmat, Harta, Ridho, Susanti, Ani, Fadillah, Syarif, Maifizar, Arfriani, Sopar, Sopar
Format: Conference Proceeding
Language:English
Subjects:
Approximation
Optimization
Online Access:Get full text
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Summary: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.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0237278