Structure Preserving Numerical Analysis of Reaction-Diffusion Models
Author(s) -
Nauman Ahmed,
Muhammad Azizur Rehman,
Waleed Adel,
Fahd Jarad,
Mubasher Ali,
Muhammad Rafiq,
Ali Akgül
Publication year - 2022
Publication title -
journal of function spaces
Language(s) - English
Resource type - Journals
eISSN - 2314-8896
pISSN - 2314-8888
DOI - 10.1155/2022/5128343
Subject(s) - operator splitting , finite difference , finite difference method , dimension (graph theory) , operator (biology) , numerical analysis , mathematics , diffusion , nonlinear system , reaction–diffusion system , computer science , mathematical analysis , physics , pure mathematics , chemistry , thermodynamics , quantum mechanics , biochemistry , repressor , transcription factor , gene
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.
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