In this paper we provide a new numerical method to solve nonlinear fractional differential and integral equations. The algorithm proposed is based on an application of the fractional Mean-Value Theorem, which allows to transform the initial problem into a suitable system of nonlinear equations. The latter is easily solved through standard methods. We prove that the approximated solution converges to the exact (unknown) one, with a rate of convergence depending on the non-integer order characterizing the fractional equation. To test the effectiveness of our proposal, we produce several examples and compare our results with already existent procedures. (c) 2020 Elsevier Ltd. All rights reserved
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This book discusses numerical methods for solving partial differential and integral equations, as we...
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This article introduces some new straightforward and yet powerful formulas in the form of series sol...
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Fractional order partial differential equations, as generalization of classical integer order partia...
The initial-value problem of a fractional differential equation is studied, assuming that the initia...
AbstractIn this paper, the variational iteration method and the Adomian decomposition method are imp...
AbstractIn this paper, we suggest a fractional functional for the variational iteration method to so...
In this paper, a sinc-collocation method is described to determine the approximate solution of fract...
In this paper, fractional differential equations in the sense of Caputo-Fabrizio derivative are tran...
Fractional Calculus can be thought of as a generalisation of conventional calculus in the sense that...
In this paper, we propose a new approach of the generalized differential transform method (GDTM) for...
In this paper, we use Bernstein polynomials to seek the numerical solution of a class of nonlinear v...
This book discusses numerical methods for solving partial differential and integral equations, as we...
AbstractThis paper presents approximate analytical solutions for systems of fractional differential ...