Adaptation of Residual-Error Series Algorithm to Handle Fractional System of Partial Differential Equations
In this article, an attractive numeric–analytic algorithm, called the fractional residual power series algorithm, is implemented for predicting the approximate solutions for a certain class of fractional systems of partial differential equations in terms of Caputo fractional differentiability. The s...
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oai:doaj.org-article:a1ed6a12b9e5493b8107e3409e29903d2021-11-25T18:16:44ZAdaptation of Residual-Error Series Algorithm to Handle Fractional System of Partial Differential Equations10.3390/math92228682227-7390https://doaj.org/article/a1ed6a12b9e5493b8107e3409e29903d2021-11-01T00:00:00Zhttps://www.mdpi.com/2227-7390/9/22/2868https://doaj.org/toc/2227-7390In this article, an attractive numeric–analytic algorithm, called the fractional residual power series algorithm, is implemented for predicting the approximate solutions for a certain class of fractional systems of partial differential equations in terms of Caputo fractional differentiability. The solution methodology combines the residual function and the fractional Taylor’s formula. In this context, the proposed algorithm provides the unknown coefficients of the expansion series for the governed system by a straightforward pattern as well as it presents the solutions in a systematic manner without including any restrictive conditions. To enhance the theoretical framework, some numerical examples are tested and discussed to detect the simplicity, performance, and applicability of the proposed algorithm. Numerical simulations and graphical plots are provided to check the impact of the fractional order on the geometric behavior of the fractional residual power series solutions. Moreover, the efficiency of this algorithm is discussed by comparing the obtained results with other existing methods such as Laplace Adomian decomposition and Iterative methods. Simulation of the results shows that the fractional residual power series technique is an accurate and very attractive tool to obtain the solutions for nonlinear fractional partial differential equations that occur in applied mathematics, physics, and engineering.Hussam AljarrahMohammad AlaroudAnuar IshakMaslina DarusMDPI AGarticleresidual functionapproximate solutionCaputo fractional derivativemultiple fractional power seriesMathematicsQA1-939ENMathematics, Vol 9, Iss 2868, p 2868 (2021) |
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residual function approximate solution Caputo fractional derivative multiple fractional power series Mathematics QA1-939 |
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residual function approximate solution Caputo fractional derivative multiple fractional power series Mathematics QA1-939 Hussam Aljarrah Mohammad Alaroud Anuar Ishak Maslina Darus Adaptation of Residual-Error Series Algorithm to Handle Fractional System of Partial Differential Equations |
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In this article, an attractive numeric–analytic algorithm, called the fractional residual power series algorithm, is implemented for predicting the approximate solutions for a certain class of fractional systems of partial differential equations in terms of Caputo fractional differentiability. The solution methodology combines the residual function and the fractional Taylor’s formula. In this context, the proposed algorithm provides the unknown coefficients of the expansion series for the governed system by a straightforward pattern as well as it presents the solutions in a systematic manner without including any restrictive conditions. To enhance the theoretical framework, some numerical examples are tested and discussed to detect the simplicity, performance, and applicability of the proposed algorithm. Numerical simulations and graphical plots are provided to check the impact of the fractional order on the geometric behavior of the fractional residual power series solutions. Moreover, the efficiency of this algorithm is discussed by comparing the obtained results with other existing methods such as Laplace Adomian decomposition and Iterative methods. Simulation of the results shows that the fractional residual power series technique is an accurate and very attractive tool to obtain the solutions for nonlinear fractional partial differential equations that occur in applied mathematics, physics, and engineering. |
format |
article |
author |
Hussam Aljarrah Mohammad Alaroud Anuar Ishak Maslina Darus |
author_facet |
Hussam Aljarrah Mohammad Alaroud Anuar Ishak Maslina Darus |
author_sort |
Hussam Aljarrah |
title |
Adaptation of Residual-Error Series Algorithm to Handle Fractional System of Partial Differential Equations |
title_short |
Adaptation of Residual-Error Series Algorithm to Handle Fractional System of Partial Differential Equations |
title_full |
Adaptation of Residual-Error Series Algorithm to Handle Fractional System of Partial Differential Equations |
title_fullStr |
Adaptation of Residual-Error Series Algorithm to Handle Fractional System of Partial Differential Equations |
title_full_unstemmed |
Adaptation of Residual-Error Series Algorithm to Handle Fractional System of Partial Differential Equations |
title_sort |
adaptation of residual-error series algorithm to handle fractional system of partial differential equations |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/a1ed6a12b9e5493b8107e3409e29903d |
work_keys_str_mv |
AT hussamaljarrah adaptationofresidualerrorseriesalgorithmtohandlefractionalsystemofpartialdifferentialequations AT mohammadalaroud adaptationofresidualerrorseriesalgorithmtohandlefractionalsystemofpartialdifferentialequations AT anuarishak adaptationofresidualerrorseriesalgorithmtohandlefractionalsystemofpartialdifferentialequations AT maslinadarus adaptationofresidualerrorseriesalgorithmtohandlefractionalsystemofpartialdifferentialequations |
_version_ |
1718411400090484736 |