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An adaptive numerical approach for the solutions of fractional advection-diffusion and dispersion equations in singular case under Riesz's derivative operator

机译:RIESZ衍生算子下奇异案例中分数展开扩散与分散方程解的自适应数值方法

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摘要

The fractional diffusion and dispersion equations are reinterpreted in determining the effect of fluid flow and displacement processes through certain compressible phenomena and then reconstructed by considering the flow conductivity, energy balance, flow chambers with the interconnected pores, and diffusion flow system. The adaptive reproducing kernel approach is formulated and analyzed to investigate numerical solutions of fractional advection-diffusion and dispersion equations in singular case on a finite domain with Riesz's fractional derivative. In such alternative representation, the reproducing kernel functions are obtained to provide analytic and approximate solutions in desired Hilbert spaces. To enable the utilized approach more, convergent analysis and error estimates are also given. To assure our results, some features with numerical experiments are presented to confirm the theoretical analysis and to illustrate the performance and effectiveness of the proposed scheme. Graphical and comparisons indicate the significant improvement of the algorithm in solving many singular fractional problems arising in physical issues. (C) 2019 Elsevier B.V. All rights reserved.
机译:在确定流体流动和位移过程通过某些可压缩现象的影响时重新涂上分数扩散和分散方程,然后通过考虑流动导电性,能量平衡,具有互连的孔的流量室和扩散流动系统来重建。制定和分析了自适应再生核方法,以研究初始域分数衍生物在有限域中分数平流扩散和分散方程的数值解。在这种替代表示中,获得再现内核功能以提供所需的Hilbert空间中的分析和近似解。为了使利用方法更多,还给出了会聚分析和错误估计。为了确保我们的结果,提出了一些具有数值实验的特征来确认理论分析,并说明所提出的方案的性能和有效性。图形和比较表明,在解决身体问题中产生的许多奇异分数问题时算法的显着改进。 (c)2019 Elsevier B.v.保留所有权利。

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