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
AUTHORS (5)
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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