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Issue title: Mathematical Modelling in Computational and Life Sciences
Guest editors: Ahmed Farouk
Article type: Research Article
Authors: Khater, Mostafa M.A.a; * | Attia, Raghda A.M.a; b | Abdel-Aty, Abdel-Haleemc; d | Abdel-Khalek, Sayede | Al-Hadeethi, Yasf | Lu, Dianchena
Affiliations: [a] Department of Mathematics, Faculty of Science, Jiangsu University, China | [b] Department of Basic Science, Higher Technological Institute 10th of Ramadan city, Egypt | [c] Department of Physics, College of Sciences, University of Bisha, Bisha, Saudi Arabia | [d] Physics Department, Faculty of Science, Al-Azhar University, Assiut, Egypt | [e] Department of Mathematics, Faculty of Science, Sohag University, Sohag, Egypt | [f] Department of Physics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia
Correspondence: [*] Corresponding author. Mostafa M. A. Khater, Department of Mathematics, Faculty of Science, Jiangsu University, China. E-mail: mostafa.khater2024@yahoo.com.
Abstract: This research paper studies the computational and numerical solutions of the transmission of nerve impulses of a nervous system (the neuron) by applying the modified Khater (mK) method and B-spline scheme to the FitzHugh-Nagumo (FN) equation where it is usually used as a model of the transmission of nerve impulses. This study focuses on finding the different types of soliton wave solutions, studying the stability property of them, and then use them to obtain the numerical solutions of the model. The obtained solutions are compared with each other to show the absolute value of error between them that will explain the accuracy of both types of solutions. Moreover, in the text of more explanation of the physical properties of the suggested model, some sketches are plotted. Also, the performance of both techniques is investigated to show its ability for applying to other nonlinear evolutions equation.
Keywords: The FitzHugh-Nagumo (FN) equation, the modified Khater (mK) method, B-spline scheme, stability property, computational and numerical solutions
DOI: 10.3233/JIFS-179547
Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, pp. 2603-2610, 2020
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