Constructing RKM-Method for Solving Fractional Ordinary Differential Equations of Fifth-Order with Applications
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Abstract
This paper sheds the light on the vital role that fractional ordinary differential equations(FrODEs) play in the mathematical modeling and in real life, particularly in the physical conditions. Furthermore, if the problem is handled directly by using numerical method, it is a far more powerful and efficient numerical method in terms of computational time, number of function evaluations, and precision. In this paper, we concentrate on the derivation of the direct numerical methods for solving fifth-order FrODEs in one, two, and three stages. Additionally, it is important to note that the RKM-numerical methods with two- and three-stages for solving fifth-order ODEs are convenient, for solving class's fifth-order FrODEs. Numerical examples have been analyzed to demonstrate the efficacy of the new methods in comparison to the analytical method. Therefore, the numerical compression is carried out to confirm the efficiency and precision of the modified numerical methods. Significantly, the study demonstrates that the numerical outcomes of the proposed derived and modified numerical applied methods proved to be brilliant. Finally, based on the findings of the study, it could be said that the numerical outcomes of the test-problems using proposed and modified methods agree well with the analytical solutions. Hence, we can conclude that the proposed numerical methods that are derived or modified in the analytic study of this paper are quite efficient.
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References
Akram, G., & Siddiqi, S. S.), Solution of sixth order boundary value problems using non polynomial spline technique, Applied Mathematics and Computation, 2006, 181, 708 DOI: https://doi.org/10.1016/j.amc.2006.01.053
Arshad, M. S., Baleanu, D., Riaz, M. B., & Abbas, M. A Novel 2-Stage Fractional Runge-Kutta Method for a Time-Fractional Logistic Growth Model, Discrete Dynamics in Nature and Society, 2020.
Atallah, S. A. , A finite element method for time fractional partial differential equations. journal of university of chester ,sprenger open ,2011.
Damor, R., & Shukla, A. , Numerical Solution of Fractional Diffusion Equation Model for Freezing in Finite Media, International Journal of Engineering Mathematics, 2013, doi:10.1155/2013/785609 DOI: https://doi.org/10.1155/2013/785609
Jafari, H., & Jassim, H. K. , Local fractional Laplace variational iteration method for solving nonlinear partial differential equations on Cantor sets within local fractional operators, Journal of Zankoy Sulaimani-Part A, 2014, 16, 49 DOI: https://doi.org/10.17656/jzs.10345
Vanani, S. K., & Aminataei, A. Tau approximate solution of fractional partial differential equations, Computers & Mathematics with Applications, 2011, 62, 1075 DOI: https://doi.org/10.1016/j.camwa.2011.03.013
Khan, A., Khan, A., Khan, T., & Zaman, G. Extension of triple Laplace transform for solving fractional differential equations, Discrete & Continuous Dynamical Systems-S, 2019, 15
Mechee, M. S., Generalized RK integrators for solving class of sixth-order ordinary differential equations, Journal of Interdisciplinary Mathematics, 2019, 22, 1457
Mechee, Mohammed S and Al-Shaher, Oday I and Al-Juaifri, Ghassan A. , Haar wavelet technique for solving fractional differential equations with an application, AIP Conference Proceedings, AIP Publishing LLC, 2019, 2086, 1, pp 030025.
Mechee, M. S., & Senu, N. Numerical Study of Fractional Differential Equations of Lane-Emden Type by The Least Square Method, International Journal of Differential Equations and Applications, 2012, 11, 157. DOI: https://doi.org/10.4236/am.2012.38126