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Uniformly convergent computational method for singularly perturbed unsteady burger-huxley equation

This paper deals with the numerical treatment of a singularly perturbed unsteady non-linear Burger-Huxley problem. Due to the simultaneous presence of a singular perturbation parameter and non-linearity in the problem applying classical numerical methods to solve this problem on a uniform mesh are u...

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Detalles Bibliográficos
Autores principales: Daba, Imiru Takele, Duressa, Gemechis File
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9637946/
https://www.ncbi.nlm.nih.gov/pubmed/36353358
http://dx.doi.org/10.1016/j.mex.2022.101886
Descripción
Sumario:This paper deals with the numerical treatment of a singularly perturbed unsteady non-linear Burger-Huxley problem. Due to the simultaneous presence of a singular perturbation parameter and non-linearity in the problem applying classical numerical methods to solve this problem on a uniform mesh are unable to provide oscillation-free results unless they are applied with very fine meshes inside the region. Thus, to resolve this issue, a uniformly convergent computational scheme is proposed. The scheme is formulated: • First, the non-linear singularly perturbed problem is linearized using the Newton-Raphson-Kantorovich quasilinearization technique. • The resulting linear singularly perturbed problem is semi-discretized in time using the implicit Euler method to yield a system of singularly perturbed ordinary differential equations in space. • Finally, the system of singularly perturbed ordinary differential equations are solved using fitted exponential cubic spline method. The stability and uniform convergence of the proposed scheme are investigated. The scheme is stable and [Formula: see text] uniformly convergent with first order in time and second order in space directions. To validate the applicability of the proposed scheme several test examples are considered. The obtained numerical results depict that the proposed scheme provides more accurate results than some methods available in the literature.