2018
DOI: 10.1002/mma.4938
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An efficient nonpolynomial spline method for distributed order fractional subdiffusion equations

Abstract: In this paper, we propose an efficient numerical method for a distributed order fractional subdiffusion problem using nonpolynomial spline approach. The solvability, stability, and convergence of the scheme are established rigorously, and it is shown that the spatial convergence order improves some previous work done. Simulation is then conducted to verify the accuracy of the proposed scheme as well as to compare with earlier work.

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Cited by 15 publications
(9 citation statements)
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“…It is a fact that the analytical solution of a classical fractional differential equation is difficult to obtain, thus many numerical methods have been developed such as finite difference method, 13 finite element method, 14 spectral method, 15 nonpolynomial spline method, 16‐21 and other methods involving fractional‐order Lagrange polynomials, 22 Legendre‐Laguerre polynomials, 23 Genocchi hybrid functions, 24 Bernoulli wavelets, 25 to name a few. As one would expect, it is even more difficult to obtain analytical solutions of equations involving generalized fractional derivatives, and numerical treatment is more appropriate for such problems.…”
Section: Introductionmentioning
confidence: 99%
“…It is a fact that the analytical solution of a classical fractional differential equation is difficult to obtain, thus many numerical methods have been developed such as finite difference method, 13 finite element method, 14 spectral method, 15 nonpolynomial spline method, 16‐21 and other methods involving fractional‐order Lagrange polynomials, 22 Legendre‐Laguerre polynomials, 23 Genocchi hybrid functions, 24 Bernoulli wavelets, 25 to name a few. As one would expect, it is even more difficult to obtain analytical solutions of equations involving generalized fractional derivatives, and numerical treatment is more appropriate for such problems.…”
Section: Introductionmentioning
confidence: 99%
“…Now (22) and (24) with initial and boundary conditions formulate a complete set of semidiscrete problem for (1). The error term l p+1 can also be defined as [25]…”
Section: Temporal Discretizationmentioning
confidence: 99%
“…Now, for the stability and convergence analysis, we are to find y p+1 ∈ H 2 0 (η) such that, for all g ∈ H 2 0 (η), Eqs. (22) and (24) give the following two relations:…”
Section: Temporal Discretizationmentioning
confidence: 99%
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“…Spline collocation methods based on fifth degree polynomials were carried out by Siddiqi and Arshed [17] to solve PDE. Li and Wong [18] employed a parametric quantic spline technique for the solution of fractional sub-diffusion problem.…”
Section: Introductionmentioning
confidence: 99%