RBF-Based Local Meshless Method for Fractional Diffusion Equations

被引:15
|
作者
Kamran, Kamran [1 ]
Irfan, Muhammad [1 ]
Alotaibi, Fahad M. M. [2 ]
Haque, Salma [3 ]
Mlaiki, Nabil [3 ]
Shah, Kamal [3 ,4 ]
机构
[1] Islamia Coll Peshawar, Dept Math, Jamrod Rd, Peshawar 25120, Khyber Pakhtunk, Pakistan
[2] King Abdulaziz Univ, Fac Comp & Informat Technol FCIT, Dept Informat Syst, Jeddah 34025, Saudi Arabia
[3] Prince Sultan Univ, Dept Math & Sci, POB 66833, Riyadh 11586, Saudi Arabia
[4] Univ Malakand, Dept Math, Chakdara Dir L 18000, Khyber Pakhtunk, Pakistan
关键词
RBF-based local meshless method; Laplace transform; Stehfest's method; Liouville-Caputo fractional derivative; diffusion equations; FUNCTION COLLOCATION METHOD; NUMERICAL INVERSION; LAPLACE TRANSFORMS; ANOMALOUS DIFFUSION; DIFFERENTIAL-EQUATIONS; INTEGRAL-EQUATIONS; APPROXIMATIONS; DISPERSION;
D O I
10.3390/fractalfract7020143
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
The fractional diffusion equation is one of the important recent models that can efficiently characterize various complex diffusion processes, such as in inhomogeneous or heterogeneous media or in porous media. This article provides a method for the numerical simulation of time-fractional diffusion equations. The proposed scheme combines the local meshless method based on a radial basis function (RBF) with Laplace transform. This scheme first implements the Laplace transform to reduce the given problem to a time-independent inhomogeneous problem in the Laplace domain, and then the RBF-based local meshless method is utilized to obtain the solution of the reduced problem in the Laplace domain. Finally, Stehfest's method is utilized to convert the solution from the Laplace domain into the real domain. The proposed method uses Laplace transform to handle the fractional order derivative, which avoids the computation of a convolution integral in a fractional order derivative and overcomes the effect of time-stepping on stability and accuracy. The method is tested using four numerical examples. All the results demonstrate that the proposed method is easy to implement, accurate, efficient and has low computational costs.
引用
收藏
页数:21
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