An unconditionally stable numerical scheme for solving nonlinear Fisher equation

Autor: Vimal Vikash, Sinha Rajesh Kumar, Liju Pannikkal
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Nonlinear Engineering, Vol 13, Iss 1, Pp 355-69 (2024)
Druh dokumentu: article
ISSN: 2192-8029
DOI: 10.1515/nleng-2024-0006
Popis: In this study, novel numerical methods are presented for solving nonlinear Fisher equations. These equations have a wide range of applications in various scientific and engineering fields, particularly in the biomedical sciences for determining the size of brain tumors. The challenges posed by the nonlinearity of the equations are effectively addressed through the development of numerical techniques. The nonlinearity is tackled using a combination of the method of lines and backward differentiation formulas of varied orders. This method is unconditionally stable, and its accuracy is evaluated using error norms. The methods are successfully validated against test problems with known solutions, demonstrating their superiority through comparative analyses with existing methodologies in the literature.
Databáze: Directory of Open Access Journals