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Green–Haar wavelets method for generalized fractional differential equations

Mujeeb ur Rehman, Dumitru Bǎleanu, Jehad Alzabut, Muhammad Ismail, Umer Saeed

2020Advances in Difference Equations41 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

Haar waveletMathematicsHaarWaveletApplied mathematicsContext (archaeology)Convergence (economics)Ordinary differential equationBoundary value problemPartial differential equationMathematical analysisDiscrete wavelet transformDifferential equationWavelet transformComputer scienceArtificial intelligenceEconomic growthPaleontologyEconomicsBiologyFractional Differential Equations SolutionsNonlinear Differential Equations AnalysisDifferential Equations and Numerical Methods
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