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Polynomial accurate numerical fractional order integration and differentiation

机译:多项式精确数值分数阶积分和微分

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In this paper we derive formulæ for composite numerical fractional integration and differentiation that are “polynomial accurate” in the sense that when applied to polynomials of a given degree they yield exact results. Initially, we develop a fractional equivalent to the trapezoidal rule, as well as an analytic error bound for when it is applied to arbitrary functions. Subsequently, we demonstrate how the formulæ are extended to higher order Lagrange Interpolating polynomials. Generally, we show how fractional integration is applied to piecewise defined functions, and hence the method can be extended, for example, to local Savitzky-Golay smoothing, or the numerical solution of Fractional Order Differential Equations. The methods are verified by applying the formulæ to both polynomial and non-polynomial functions.
机译:在本文中,我们得出复合式分数分数积分和微分的公式是“多项式精确的”,这是指当将其应用于给定阶数的多项式时它们会产生精确的结果。最初,我们开发出与梯形规则等效的分数,以及将其应用于任意函数时的解析误差。随后,我们演示了如何将公式扩展到高阶Lagrange插值多项式。通常,我们显示了如何将分数积分应用于分段定义的函数,因此可以将该方法扩展到例如局部Savitzky-Golay平滑或分数阶微分方程的数值解。通过将公式应用于多项式和非多项式函数,可以验证这些方法。

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