BACKWARD DIFFERENTIATION FORMULA BASED NUMERICAL METHOD TO SOLVE FISHER EQUATION

This paper presents a novel numerical approach, which is based on the Method of Lines. This method semi-discretizes the problem and produces a system of ordinary differential equations (ODEs) in time. To solve this system, a stiff solver, BDF2, is used, which yields very precise results. The linearization is handled by the Taylor series method. To validate the numerical method, various test examples are considered. These formulas find extensive applications across various scientific and engineering domains.

Authors

Publication Details

Journal
South East Asian J of Mathematics and Mathematical Sciences
Published
2024-08-30
DOI
https://doi.org/10.56827/seajmms.2024.2002.34
Primary Topic
Matrix Theory and Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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article

BACKWARD DIFFERENTIATION FORMULA BASED NUMERICAL METHOD TO SOLVE FISHER EQUATION

R.K. Sinha, Vikash Vimal, Pannikkal Liju
South East Asian J of Mathematics and Mathematical Sciences
Matrix Theory and Algorithms
article

BACKWARD DIFFERENTIATION FORMULA BASED NUMERICAL METHOD TO SOLVE FISHER EQUATION

R.K. Sinha, Vikash Vimal, Pannikkal Liju
article en

Abstract

This paper presents a novel numerical approach, which is based on the Method of Lines. This method semi-discretizes the problem and produces a system of ordinary differential equations (ODEs) in time. To solve this system, a stiff solver, BDF2, is used, which yields very precise results. The linearization is handled by the Taylor series method. To validate the numerical method, various test examples are considered. These formulas find extensive applications across various scientific and engineering domains.

South East Asian J of Mathematics and Mathematical SciencesVol. 20(02)
Openalex Percentile: Top 70%
Matrix Theory and Algorithms
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