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A novel technique using integral transforms and residual functions for nonlinear partial fractional differential equations involving Caputo derivatives
by
Khan, Zareen A.
, Riaz, Muhammad Bilal
, Liaqat, Muhammad Imran
, Akgül, Ali
in
Algorithms
/ Behavior
/ Calculus
/ Closed form solutions
/ Computer and Information Sciences
/ Derivatives
/ Differential equations
/ Effectiveness
/ Engineering
/ Engineering and Technology
/ Evaluation
/ Exact solutions
/ Fractals
/ Fractional calculus
/ Integral transforms
/ Integrals
/ Mathematical functions
/ Mathematical problems
/ Models, Theoretical
/ Nonlinear differential equations
/ Nonlinear Dynamics
/ Nonlinear theories
/ Numerical analysis
/ Optimization techniques
/ Partial differential equations
/ Physical Sciences
/ Physics
/ Polynomials
/ Power series
/ Propagation
/ Securities markets
/ Viscoelasticity
2024
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A novel technique using integral transforms and residual functions for nonlinear partial fractional differential equations involving Caputo derivatives
by
Khan, Zareen A.
, Riaz, Muhammad Bilal
, Liaqat, Muhammad Imran
, Akgül, Ali
in
Algorithms
/ Behavior
/ Calculus
/ Closed form solutions
/ Computer and Information Sciences
/ Derivatives
/ Differential equations
/ Effectiveness
/ Engineering
/ Engineering and Technology
/ Evaluation
/ Exact solutions
/ Fractals
/ Fractional calculus
/ Integral transforms
/ Integrals
/ Mathematical functions
/ Mathematical problems
/ Models, Theoretical
/ Nonlinear differential equations
/ Nonlinear Dynamics
/ Nonlinear theories
/ Numerical analysis
/ Optimization techniques
/ Partial differential equations
/ Physical Sciences
/ Physics
/ Polynomials
/ Power series
/ Propagation
/ Securities markets
/ Viscoelasticity
2024
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A novel technique using integral transforms and residual functions for nonlinear partial fractional differential equations involving Caputo derivatives
by
Khan, Zareen A.
, Riaz, Muhammad Bilal
, Liaqat, Muhammad Imran
, Akgül, Ali
in
Algorithms
/ Behavior
/ Calculus
/ Closed form solutions
/ Computer and Information Sciences
/ Derivatives
/ Differential equations
/ Effectiveness
/ Engineering
/ Engineering and Technology
/ Evaluation
/ Exact solutions
/ Fractals
/ Fractional calculus
/ Integral transforms
/ Integrals
/ Mathematical functions
/ Mathematical problems
/ Models, Theoretical
/ Nonlinear differential equations
/ Nonlinear Dynamics
/ Nonlinear theories
/ Numerical analysis
/ Optimization techniques
/ Partial differential equations
/ Physical Sciences
/ Physics
/ Polynomials
/ Power series
/ Propagation
/ Securities markets
/ Viscoelasticity
2024
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A novel technique using integral transforms and residual functions for nonlinear partial fractional differential equations involving Caputo derivatives
Journal Article
A novel technique using integral transforms and residual functions for nonlinear partial fractional differential equations involving Caputo derivatives
2024
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Overview
Fractional nonlinear partial differential equations are used in many scientific fields to model various processes, although most of these equations lack closed-form solutions. For this reason, methods for approximating solutions that occasionally yield closed-form solutions are crucial for solving these equations. This study introduces a novel technique that combines the residual function and a modified fractional power series with the Elzaki transform to solve various nonlinear problems within the Caputo derivative framework. The accuracy and effectiveness of our approach are validated through analyses of absolute, relative, and residual errors. We utilize the limit principle at zero to identify the coefficients of the series solution terms, while other methods, including variational iteration, homotopy perturbation, and Adomian, depend on integration. In contrast, the residual power series method uses differentiation, and both approaches encounter difficulties in fractional contexts. Furthermore, the effectiveness of our approach in addressing nonlinear problems without relying on Adomian and He polynomials enhances its superiority over various approximate series solution techniques.
Publisher
Public Library of Science,Public Library of Science (PLoS)
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