Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14365/4670
Title: Numerical solutions of the HIV infection model of CD4(+) cells by Laguerre wavelets
Authors: Beler, Ayse
Özaltun, Gökçe
Gümgum, Sevin
Keywords: Laguerre wavelets
HIV infection modeling
System of nonlinear differential equations
Dynamics
Publisher: Elsevier
Abstract: In this study, we analyze the numerical solutions of the Human Immunodeficiency Virus (HIV) infection on helper T cells by using the Laguerre wavelet method. Our goal is to find accurate approximate results of the models that measure the number of helper infected and uninfected T cells as well as the number of free virus particles at a given time. We present two different models which are governed by three first order nonlinear differential equations with different parameters. We include an error analysis in order to compare the results with other methods available in the literature, and observe that the Laguerre wavelet method gives highly accurate results, is very easy to implement, hence efficient, in the solution of the type of problems indicated.(c) 2023 International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V. All rights reserved.
URI: https://doi.org/10.1016/j.matcom.2023.02.016
https://hdl.handle.net/20.500.14365/4670
ISSN: 0378-4754
1872-7166
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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