Rim Akhrif, Abdelouahed Kouibia, Louna Omri, Hossain Oulad Yakhlef, "Approximation Method by Variational Splines of Moroccan’s Covid Data," Equations, vol. 5, pp. 10-17, 2025, DOI:10.37394/232021.2025.5.2
Rim Akhrif, Abdelouahed Kouibia, Louna Omri, Hossain Oulad Yakhlef. Approximation Method by Variational Splines of Moroccan’s Covid Data.
Equations. 2025;5:10-17. 10.37394/232021.2025.5.2
EQUATIONS
Print ISSN: 2944-9146, E-ISSN: 2732-9976 An Open Access International Journal of Mathematical and Computational Methods in Science and Engineering
Volume 5, 2025
Approximation Method by Variational Splines of Moroccan’s Covid Data
Authors: , , ,
Abstract: This paper is devoted to presenting a study of Covid-19 data in Morocco and analyzing the impact on the Moroccan economy. In this work, we approximate the Covid-19 data using a variational method approach, specifically through smoothing variational splines. We propose an application of the pandemic’s effects on the Moroccan economy. Finally, we demonstrate the effectiveness of our method by presenting graphical results of the Moroccan data.
Pages: 10-17 DOI: 10.37394/232021.2025.5.2WSEAS Transactions on Equations, ISSN / E-ISSN: 2944-9146 / 2732-9976, Volume 5, 2025, Art. #2
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