Evaluation of time-fractional Fisher's equations with the help of analytical methods

Decomposition method (queueing theory) Economics yang transform decomposition method 01 natural sciences Convergence Analysis of Iterative Methods for Nonlinear Equations Differential equation Computer security Numerical Analysis Physics Mathematical optimization Statistics Rate of convergence Power (physics) Algorithm Fractional Derivatives Reliability (semiconductor) homotopy perturbation yang transform method caputo operator Modeling and Simulation Physical Sciences Convergence (economics) Medicine Calculus (dental) Iterative Methods Mathematical analysis Quantum mechanics QA1-939 FOS: Mathematics 0101 mathematics Homotopy perturbation method Key (lock) time-fractional fisher's equation Anomalous Diffusion Modeling and Analysis Economic growth Time-Fractional Diffusion Equation FOS: Clinical medicine Fractional calculus Pure mathematics Statistical and Nonlinear Physics Applied mathematics Computer science Homotopy analysis method Physics and Astronomy Dentistry Fractional Calculus Adomian decomposition method Homotopy Analysis Method Homotopy Mathematics Rogue Waves in Nonlinear Systems
DOI: 10.3934/math.20221031 Publication Date: 2022-08-23T11:06:56Z
ABSTRACT
<abstract><p>This article shows how to solve the time-fractional Fisher's equation through the use of two well-known analytical methods. The techniques we propose are a modified form of the Adomian decomposition method and homotopy perturbation method with a Yang transform. To show the accuracy of the suggested techniques, illustrative examples are considered. It is confirmed that the solution we get by implementing the suggested techniques has the desired rate of convergence towards the accurate solution. The main benefit of the proposed techniques is the small number of calculations. To show the reliability of the suggested techniques, we present some graphical behaviors of the accurate and analytical results, absolute error graphs and tables that strongly agree with each other. Furthermore, it can be used for solving fractional-order physical problems in various fields of applied sciences.</p></abstract>
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