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首页> 外文期刊>Chaos, Solitons and Fractals: Applications in Science and Engineering: An Interdisciplinary Journal of Nonlinear Science >Fitted fractional reproducing kernel algorithm for the numerical solutions of ABC - Fractional Volterra integro-differential equations
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Fitted fractional reproducing kernel algorithm for the numerical solutions of ABC - Fractional Volterra integro-differential equations

机译:ABC - 分数Volterra Integro微分方程数值解的配数分数再现核算法

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摘要

This paper focuses on providing a novel high-order algorithm for the numerical solutions of fractional order Volterra integro-differential equations using Atangana-Baleanu approach by employing the reproducing kernel approximation. For this purpose, we investigate couples of Hilbert spaces and kernel functions, as well as, the regularity properties of Atangana-Baleanu derivative, and utilize that the representation theorem of its solution. To remove the singularity in the kernel function, using new Atangana-Baleanu approach the main operator posses smoothing solution with a better regularity properties and the reproducing kernel algorithm is designed for the required equation. The convergence properties of the proposed algorithm are also studied which proves that the new strategy exhibits a high-order of convergence with decreasing error bound. Some numerical examples of single and system formulation illustrate the performance of the approach. Summary and some notes are also provided in the case of conclusion and highlight. (C) 2019 Elsevier Ltd. All rights reserved.
机译:本文侧重于提供一种新的高阶算法,用于使用atangana-Balanu方法的分数阶Volterra积分差分方程的数值解,采用再现内核近似。为此目的,我们调查Hilbert Spaces和内核功能的夫妇,以及Atangana-Balanu衍生物的规律性,并利用其解决方案的表示定理。要删除内核功能中的奇点,使用新的Atangana-Baleanu方法,主操作员可以使用更好的规律性,并为所需方程设计再现内核算法。还研究了所提出的算法的收敛性质,证明新策略表现出高阶收敛,误差率降低。单个和系统配方的一些数值例子说明了方法的性能。摘要和一些票据也在结论和突出显示。 (c)2019年elestvier有限公司保留所有权利。

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