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A Discretization Approach for the Nonlinear Fractional Logistic Equation
The present study aimed to develop and investigate the local discontinuous Galerkin method for the numerical solution of the fractional logistic differential equation, occurring in many biological and social science phenomena. The fractional derivative is described in the sense of Liouville-Caputo....
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7711727/ https://www.ncbi.nlm.nih.gov/pubmed/33287093 http://dx.doi.org/10.3390/e22111328 |
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author | Izadi, Mohammad Srivastava, Hari M. |
author_facet | Izadi, Mohammad Srivastava, Hari M. |
author_sort | Izadi, Mohammad |
collection | PubMed |
description | The present study aimed to develop and investigate the local discontinuous Galerkin method for the numerical solution of the fractional logistic differential equation, occurring in many biological and social science phenomena. The fractional derivative is described in the sense of Liouville-Caputo. Using the upwind numerical fluxes, the numerical stability of the method is proved in the [Formula: see text] norm. With the aid of the shifted Legendre polynomials, the weak form is reduced into a system of the algebraic equations to be solved in each subinterval. Furthermore, to handle the nonlinear term, the technique of product approximation is utilized. The utility of the present discretization technique and some well-known standard schemes is checked through numerical calculations on a range of linear and nonlinear problems with analytical solutions. |
format | Online Article Text |
id | pubmed-7711727 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77117272021-02-24 A Discretization Approach for the Nonlinear Fractional Logistic Equation Izadi, Mohammad Srivastava, Hari M. Entropy (Basel) Article The present study aimed to develop and investigate the local discontinuous Galerkin method for the numerical solution of the fractional logistic differential equation, occurring in many biological and social science phenomena. The fractional derivative is described in the sense of Liouville-Caputo. Using the upwind numerical fluxes, the numerical stability of the method is proved in the [Formula: see text] norm. With the aid of the shifted Legendre polynomials, the weak form is reduced into a system of the algebraic equations to be solved in each subinterval. Furthermore, to handle the nonlinear term, the technique of product approximation is utilized. The utility of the present discretization technique and some well-known standard schemes is checked through numerical calculations on a range of linear and nonlinear problems with analytical solutions. MDPI 2020-11-21 /pmc/articles/PMC7711727/ /pubmed/33287093 http://dx.doi.org/10.3390/e22111328 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Izadi, Mohammad Srivastava, Hari M. A Discretization Approach for the Nonlinear Fractional Logistic Equation |
title | A Discretization Approach for the Nonlinear Fractional Logistic Equation |
title_full | A Discretization Approach for the Nonlinear Fractional Logistic Equation |
title_fullStr | A Discretization Approach for the Nonlinear Fractional Logistic Equation |
title_full_unstemmed | A Discretization Approach for the Nonlinear Fractional Logistic Equation |
title_short | A Discretization Approach for the Nonlinear Fractional Logistic Equation |
title_sort | discretization approach for the nonlinear fractional logistic equation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7711727/ https://www.ncbi.nlm.nih.gov/pubmed/33287093 http://dx.doi.org/10.3390/e22111328 |
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