Green-Haar Wavelets Method for Generalized Fractional Differential Equations
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Date
2020
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Springer
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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.
Description
Saeed, Umer/0000-0003-1394-8856; Alzabut, Prof. Dr. Jehad/0000-0002-5262-1138; Rehman, Mujeeb Ur/0000-0003-2511-8622
Keywords
Wavelets, Caputo-Katugampola Derivative, Generalized Fractional Differential Equations
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ur Rehman, Mujeeb...et al. (2020). "Green–Haar wavelets method for generalized fractional differential equations", Advances in Difference Equations, Vol. 2020, No. 1.
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28
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2020
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1
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