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A fast Fibonacci wavelet-based numerical algorithm for the solution of HIV-infected [Formula: see text] cells model
In this article, we present a novel approach under the Fibonacci wavelet and collocation technique which is computationally efficient to obtain the solution of the model of [Formula: see text] cells of HIV infection. A system of nonlinear ordinary differential equations represents this mathematical...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10209586/ https://www.ncbi.nlm.nih.gov/pubmed/37252377 http://dx.doi.org/10.1140/epjp/s13360-023-04062-6 |
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author | Vivek Kumar, Manoj Mishra, Suyash Narayan |
author_facet | Vivek Kumar, Manoj Mishra, Suyash Narayan |
author_sort | Vivek |
collection | PubMed |
description | In this article, we present a novel approach under the Fibonacci wavelet and collocation technique which is computationally efficient to obtain the solution of the model of [Formula: see text] cells of HIV infection. A system of nonlinear ordinary differential equations represents this mathematical model. We have approximated unknown functions and their derivatives using the operational matrix of integration of Fibonacci wavelets to transform this model into a set of algebraic equations and then simplified using a suitable method. It is anticipated that the proposed approach would be more efficient and suitable for solving a variety of nonlinear ordinary and partial differential equations representing the model of medical, radiation, and surgical oncology, and drug targeting systems that occur in medical science and engineering. Tables and graphs are included to show how the suggested wavelet method provides enhanced accuracy for a wide range of problems. Relative data and computations are performed over MATLAB software. |
format | Online Article Text |
id | pubmed-10209586 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-102095862023-05-26 A fast Fibonacci wavelet-based numerical algorithm for the solution of HIV-infected [Formula: see text] cells model Vivek Kumar, Manoj Mishra, Suyash Narayan Eur Phys J Plus Regular Article In this article, we present a novel approach under the Fibonacci wavelet and collocation technique which is computationally efficient to obtain the solution of the model of [Formula: see text] cells of HIV infection. A system of nonlinear ordinary differential equations represents this mathematical model. We have approximated unknown functions and their derivatives using the operational matrix of integration of Fibonacci wavelets to transform this model into a set of algebraic equations and then simplified using a suitable method. It is anticipated that the proposed approach would be more efficient and suitable for solving a variety of nonlinear ordinary and partial differential equations representing the model of medical, radiation, and surgical oncology, and drug targeting systems that occur in medical science and engineering. Tables and graphs are included to show how the suggested wavelet method provides enhanced accuracy for a wide range of problems. Relative data and computations are performed over MATLAB software. Springer Berlin Heidelberg 2023-05-25 2023 /pmc/articles/PMC10209586/ /pubmed/37252377 http://dx.doi.org/10.1140/epjp/s13360-023-04062-6 Text en © The Author(s), under exclusive licence to Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Regular Article Vivek Kumar, Manoj Mishra, Suyash Narayan A fast Fibonacci wavelet-based numerical algorithm for the solution of HIV-infected [Formula: see text] cells model |
title | A fast Fibonacci wavelet-based numerical algorithm for the solution of HIV-infected [Formula: see text] cells model |
title_full | A fast Fibonacci wavelet-based numerical algorithm for the solution of HIV-infected [Formula: see text] cells model |
title_fullStr | A fast Fibonacci wavelet-based numerical algorithm for the solution of HIV-infected [Formula: see text] cells model |
title_full_unstemmed | A fast Fibonacci wavelet-based numerical algorithm for the solution of HIV-infected [Formula: see text] cells model |
title_short | A fast Fibonacci wavelet-based numerical algorithm for the solution of HIV-infected [Formula: see text] cells model |
title_sort | fast fibonacci wavelet-based numerical algorithm for the solution of hiv-infected [formula: see text] cells model |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10209586/ https://www.ncbi.nlm.nih.gov/pubmed/37252377 http://dx.doi.org/10.1140/epjp/s13360-023-04062-6 |
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