2018
DOI: 10.1186/s13662-018-1537-7
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A fully implicit finite difference scheme based on extended cubic B-splines for time fractional advection–diffusion equation

Abstract: In this paper, we investigate a fully implicit finite difference scheme for solving the time fractional advection-diffusion equation. The time fractional derivative is estimated using Caputo's formulation, and the spatial derivatives are discretized using extended cubic B-spline functions. The convergence and stability of the fully implicit scheme are analyzed. Numerical experiments conducted indicate that the scheme is feasible and accurate.

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Cited by 33 publications
(23 citation statements)
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References 28 publications
(30 reference statements)
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“…Various numerical methods based on spline functions have also been employed by researchers in pursue of reliable solutions for fractional-order differential equations [29][30][31]. The B-spline functions provide decent approximations in contrast with rest of numerical schemes due to the nominal, compact support and C 2 continuity [32]. The approximate solution of a time-fractional DWE via cubic trigonometric B-splines was explored in [33].…”
Section: Introductionmentioning
confidence: 99%
“…Various numerical methods based on spline functions have also been employed by researchers in pursue of reliable solutions for fractional-order differential equations [29][30][31]. The B-spline functions provide decent approximations in contrast with rest of numerical schemes due to the nominal, compact support and C 2 continuity [32]. The approximate solution of a time-fractional DWE via cubic trigonometric B-splines was explored in [33].…”
Section: Introductionmentioning
confidence: 99%
“…Yaseen et al [28] presented a scheme for the numerical solution of fractional diffusion equation using a finite difference method based on cubic trigonometric B-spline basis functions. Mohyud-Din et al [29] constructed a fully implicit finite difference scheme for solving a time fractional diffusion equation by incorporating an extended cubic Bspline (ExCuBs) approach in its formulation. Because of the promising results obtained by this scheme, efforts are now being made in this work extend the formulation to solve the more complicated telegraph equation with fractional order derivatives.…”
Section: Application and Literature Reviewmentioning
confidence: 99%
“…In Table 2, we calculate the L 2 -norm for different spatial and temporal step size h = 5, τ = 1 M , (M = 20, 40, 80). In Table 3, we determine the order of convergence [16,29] from the computed data and present maximum absolute errors at different space-time step sizes. We give L 2 -norm and maximum errors for α = 0.6, 0.7, 0.8, 0.9.…”
Section: Problem 1 Consider the Tfte Of The Formmentioning
confidence: 99%
“…In [14], the authors introduced new fractional order spline functions to study the numerical solution of fractional Bagely-Torvik equation. Mohyu-Din et al [15] investigated the extended Bspline solution of time fractional advection diffusion equation by means of a fully implicit finite difference scheme. Li et al [16] developed a non-polynomial spline scheme to solve time fractional nonlinear Schrodinger equation.…”
Section: Introductionmentioning
confidence: 99%