Abstract

The objective of this paper is to present two numerical techniques for solving generalized fractional differential equations. We develop Haar wavelets operational matrices to approximate the solution of generalized Caputo–Katugampola fractional differential equations. Moreover, we introduce Green–Haar approach for a family of generalized fractional boundary value problems and compare the method with the classical Haar wavelets technique. In the context of error analysis, an upper bound for error is established to show the convergence of the method. Results of numerical experiments have been documented in a tabular and graphical format to elaborate the accuracy and efficiency of addressed methods. Further, we conclude that accuracy-wise Green–Haar approach is better than the conventional Haar wavelets approach as it takes less computational time compared to the Haar wavelet method.

Highlights

  • The mathematical theory of fractional calculus can be described as that of derivatives as well as integrals of any order possible

  • Fractional calculus has been deployed for modeling the transfer of heat in heterogeneous media [1], nonlinear oscillation of earthquakes [2], signal processing [3], neural networks [4,5,6], fluid dynamic traffic flow [7], electromagnetism [8], bioengineering [9], economics [10], anomalous diffusions and fractal-like nature [11, 12]

  • The Haar wavelets operational matrices are derived for generalized fractional integrals

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Summary

Introduction

The mathematical theory of fractional calculus can be described as that of derivatives as well as integrals of any order possible. Fractional calculus is a generalized form of integer order calculus. Fractional calculus has been exploited as a crucial tool for applications that concern science and engineering. These applications of fractional calculus have been elaborated previously by several authors. For the qualitative analysis of fractional differential equations, we refer the reader to [1, 2, 13,14,15] and the references therein

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