Structure Preserving Numerical Analysis of Reaction-Diffusion Models

In this paper, we examine two structure preserving numerical finite difference methods for solving the various reaction-diffusion models in one dimension, appearing in chemistry and biology. These are the finite difference methods in splitting environment, namely, operator splitting nonstandard fini...

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Main Authors: Nauman Ahmed, Muhammad Aziz-ur Rehman, Waleed Adel, Fahd Jarad, Mubasher Ali, Muhammad Rafiq, Ali Akgül
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Function Spaces
Online Access:http://dx.doi.org/10.1155/2022/5128343
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author Nauman Ahmed
Muhammad Aziz-ur Rehman
Waleed Adel
Fahd Jarad
Mubasher Ali
Muhammad Rafiq
Ali Akgül
author_facet Nauman Ahmed
Muhammad Aziz-ur Rehman
Waleed Adel
Fahd Jarad
Mubasher Ali
Muhammad Rafiq
Ali Akgül
author_sort Nauman Ahmed
collection DOAJ
description In this paper, we examine two structure preserving numerical finite difference methods for solving the various reaction-diffusion models in one dimension, appearing in chemistry and biology. These are the finite difference methods in splitting environment, namely, operator splitting nonstandard finite difference (OS-NSFD) methods that effectively deal with nonlinearity in the models and computationally efficient. Positivity of both the proposed splitting methods is proved mathematically and verified with the simulations. A comparison is made between proposed OS-NSFD methods and well-known classical operator splitting finite difference (OS-FD) methods, which demonstrates the advantages of proposed methods. Furthermore, we applied proposed NSFD splitting methods on several numerical examples to validate all the attributes of the proposed numerical designs.
format Article
id doaj-art-58d21a93c15c45138e2923ec77145831
institution Kabale University
issn 2314-8888
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series Journal of Function Spaces
spelling doaj-art-58d21a93c15c45138e2923ec771458312025-02-03T06:01:51ZengWileyJournal of Function Spaces2314-88882022-01-01202210.1155/2022/5128343Structure Preserving Numerical Analysis of Reaction-Diffusion ModelsNauman Ahmed0Muhammad Aziz-ur Rehman1Waleed Adel2Fahd Jarad3Mubasher Ali4Muhammad Rafiq5Ali Akgül6Department of Mathematics and StatisticsDepartment of MathematicsDepartment of Mathematics and Engineering PhysicsDepartment of MathematicsSchool of Engineering and Digital ArtsDepartment of MathematicsSiirt UniversityIn this paper, we examine two structure preserving numerical finite difference methods for solving the various reaction-diffusion models in one dimension, appearing in chemistry and biology. These are the finite difference methods in splitting environment, namely, operator splitting nonstandard finite difference (OS-NSFD) methods that effectively deal with nonlinearity in the models and computationally efficient. Positivity of both the proposed splitting methods is proved mathematically and verified with the simulations. A comparison is made between proposed OS-NSFD methods and well-known classical operator splitting finite difference (OS-FD) methods, which demonstrates the advantages of proposed methods. Furthermore, we applied proposed NSFD splitting methods on several numerical examples to validate all the attributes of the proposed numerical designs.http://dx.doi.org/10.1155/2022/5128343
spellingShingle Nauman Ahmed
Muhammad Aziz-ur Rehman
Waleed Adel
Fahd Jarad
Mubasher Ali
Muhammad Rafiq
Ali Akgül
Structure Preserving Numerical Analysis of Reaction-Diffusion Models
Journal of Function Spaces
title Structure Preserving Numerical Analysis of Reaction-Diffusion Models
title_full Structure Preserving Numerical Analysis of Reaction-Diffusion Models
title_fullStr Structure Preserving Numerical Analysis of Reaction-Diffusion Models
title_full_unstemmed Structure Preserving Numerical Analysis of Reaction-Diffusion Models
title_short Structure Preserving Numerical Analysis of Reaction-Diffusion Models
title_sort structure preserving numerical analysis of reaction diffusion models
url http://dx.doi.org/10.1155/2022/5128343
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