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Green–Haar wavelets method for generalized fractional differential equations

机译:广义分数微分方程的绿哈尔小波法

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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.
机译:本文的目的是呈现用于求解广义分数微分方程的两种数值技术。 我们开发Haar小波运营矩阵,以近似广义Caputo-Katugampola分数微分方程的解决方案。 此外,我们为一系列广义分数边值问题引入了绿哈尔方法,并将该方法与经典HAAR小波技术进行比较。 在错误分析的背景下,建立错误的上限以显示方法的收敛。 数值实验的结果以表格和图形格式记录,以详细说明所解决方法的准确性和效率。 此外,我们得出结论,与HAAR小波法相比,精度明智的绿哈尔方法比传统的HAAR小波方法更好。

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