Computational modeling of nonlinear reaction-diffusion Fisher–KPP equation with mixed modal discontinuous Galerkin scheme

In this study, a mixed modal discontinuous Galerkin (DG) scheme is developed for solving the two-dimensional nonlinear Fisher-Kolmogorov-Petrovsky-Piscounov (Fisher–KPP) reaction-diffusion equation emerging in biology sciences. This numerical scheme is based on the concept of addressing an additiona...

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Main Author: Singh, Satyvir
Other Authors: M. K. Awasthi
Format: Book Chapter
Language:English
Published: CRC Press 2022
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Online Access:https://hdl.handle.net/10356/156096
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1560962023-02-28T19:16:14Z Computational modeling of nonlinear reaction-diffusion Fisher–KPP equation with mixed modal discontinuous Galerkin scheme Singh, Satyvir M. K. Awasthi R. Tomar M. Gupta School of Physical and Mathematical Sciences Science::Mathematics::Applied mathematics::Simulation and modeling Discontinuous Galerkin Method Nonlinear Partial Differential Equation In this study, a mixed modal discontinuous Galerkin (DG) scheme is developed for solving the two-dimensional nonlinear Fisher-Kolmogorov-Petrovsky-Piscounov (Fisher–KPP) reaction-diffusion equation emerging in biology sciences. This numerical scheme is based on the concept of addressing an additional auxiliary unknown in the high-order derivative diffusion term. The scaled Legendre polynomials with third-order accuracy are used for spatial discretization, while, an explicit Strongly Stability Preserving Runge-Kutta scheme with third-order accuracy is adopted for the temporal discretization. This numerical approach is widely applicable for several nonlinear reaction-diffusion problems. To verify the accuracy and reliability of the DG scheme, several well-known numerical problems in literature are solved. The derived numerical solutions and errors show that the results are in good agreement with the exact solutions. This proposed DG approach demonstrates that it is an efficient technique for finding numerical solutions for a wide range of linear and nonlinear physical models. Submitted/Accepted version 2022-05-31T05:01:03Z 2022-05-31T05:01:03Z 2022 Book Chapter Singh, S. (2022). Computational modeling of nonlinear reaction-diffusion Fisher–KPP equation with mixed modal discontinuous Galerkin scheme. M. K. Awasthi, R. Tomar & M. Gupta (Eds.), Mathematical Modeling for Intelligent Systems: Theory, Methods and Simulation. CRC Press. https://hdl.handle.net/10356/156096 9781032272252 https://hdl.handle.net/10356/156096 10.1201/9781003291916 en NAP-SUP M408074 Mathematical Modeling for Intelligent Systems: Theory, Methods and Simulation This is an Accepted Manuscript of a book chapter published by CRC Press in Mathematical Modeling for Intelligent Systems: Theory, Methods and Simulation on 29 July 2022, available online at https://doi.org/10.1201/9781003291916. application/pdf CRC Press
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Mathematics::Applied mathematics::Simulation and modeling
Discontinuous Galerkin Method
Nonlinear Partial Differential Equation
spellingShingle Science::Mathematics::Applied mathematics::Simulation and modeling
Discontinuous Galerkin Method
Nonlinear Partial Differential Equation
Singh, Satyvir
Computational modeling of nonlinear reaction-diffusion Fisher–KPP equation with mixed modal discontinuous Galerkin scheme
description In this study, a mixed modal discontinuous Galerkin (DG) scheme is developed for solving the two-dimensional nonlinear Fisher-Kolmogorov-Petrovsky-Piscounov (Fisher–KPP) reaction-diffusion equation emerging in biology sciences. This numerical scheme is based on the concept of addressing an additional auxiliary unknown in the high-order derivative diffusion term. The scaled Legendre polynomials with third-order accuracy are used for spatial discretization, while, an explicit Strongly Stability Preserving Runge-Kutta scheme with third-order accuracy is adopted for the temporal discretization. This numerical approach is widely applicable for several nonlinear reaction-diffusion problems. To verify the accuracy and reliability of the DG scheme, several well-known numerical problems in literature are solved. The derived numerical solutions and errors show that the results are in good agreement with the exact solutions. This proposed DG approach demonstrates that it is an efficient technique for finding numerical solutions for a wide range of linear and nonlinear physical models.
author2 M. K. Awasthi
author_facet M. K. Awasthi
Singh, Satyvir
format Book Chapter
author Singh, Satyvir
author_sort Singh, Satyvir
title Computational modeling of nonlinear reaction-diffusion Fisher–KPP equation with mixed modal discontinuous Galerkin scheme
title_short Computational modeling of nonlinear reaction-diffusion Fisher–KPP equation with mixed modal discontinuous Galerkin scheme
title_full Computational modeling of nonlinear reaction-diffusion Fisher–KPP equation with mixed modal discontinuous Galerkin scheme
title_fullStr Computational modeling of nonlinear reaction-diffusion Fisher–KPP equation with mixed modal discontinuous Galerkin scheme
title_full_unstemmed Computational modeling of nonlinear reaction-diffusion Fisher–KPP equation with mixed modal discontinuous Galerkin scheme
title_sort computational modeling of nonlinear reaction-diffusion fisher–kpp equation with mixed modal discontinuous galerkin scheme
publisher CRC Press
publishDate 2022
url https://hdl.handle.net/10356/156096
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