2020
DOI: 10.33889/ijmems.2020.5.3.036
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Computationally Efficient Hybrid Method for the Numerical Solution of the 2D Time Fractional Advection-Diffusion Equation

Abstract: In this paper, a hybrid method based on the Laplace transform and implicit finite difference scheme is applied to obtain the numerical solution of the two-dimensional time fractional advection-diffusion equation (2D-TFADE). Some of the major limitations in computing the numerical solution for fractional differential equations (FDEs) in multi-dimensional space are the huge computational cost and storage requirement, which are O(N^2) cost and O(MN) storage, N and M are the total number of time levels and space g… Show more

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Cited by 6 publications
(3 citation statements)
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“…They have been used for efficient computations of accurate numerical solutions to the two-dimensional fractional diffusion equation (Salama et al. 2022a ), two-dimensional fractional cable equation (Salama and Abd Hamid 2020 ; Khan et al. 2021 ), two-dimensional fractional reaction diffusion equation (Abdi et al.…”
Section: Introductionmentioning
confidence: 99%
“…They have been used for efficient computations of accurate numerical solutions to the two-dimensional fractional diffusion equation (Salama et al. 2022a ), two-dimensional fractional cable equation (Salama and Abd Hamid 2020 ; Khan et al. 2021 ), two-dimensional fractional reaction diffusion equation (Abdi et al.…”
Section: Introductionmentioning
confidence: 99%
“…Jiang et al [ 11 ] used the sum of exponentials approximation to obtain the fast convolution algorithm. Salama et al [ 24 27 ] used hybrid Laplace transform-finite difference method to obtain the high efficient scheme.…”
Section: Introductionmentioning
confidence: 99%
“…This motivates us to develop fast numerical schemes to solve them. This is useful for long time simulations, especially when attempting to solve multi-dimensional fractional problems [33][34][35][36]. It is well known that explicit group methods can diminish the computational complexity and reduce the computational time of numerical algorithms effectively [37][38][39][40][41][42][43][44].…”
Section: Introductionmentioning
confidence: 99%