2016
DOI: 10.1002/mma.4188
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A space‐time spectral method for one‐dimensional time fractional convection diffusion equations

Abstract: In this paper, we propose a space‐time spectral method for solving a class of time fractional convection diffusion equations. Because both fractional derivative and spectral method have global characteristics in bounded domains, we propose a space‐time spectral‐Galerkin method. The convergence result of the method is proved by providing a priori error estimate. Numerical results further confirm the expected convergence rate and illustrate the versatility of our method. Copyright © 2016 John Wiley & Sons, Ltd.

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Cited by 7 publications
(2 citation statements)
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References 23 publications
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“…An effective approach is constructed 45 based on Chebyshev operational matrix to obtain the numerical solution of fractional convection diffusion equations with variable coefficients. A space‐time spectral‐Galerkin method is introduced in 46 for solving the time fractional convection‐diffusion equations. Authors of 47 developed discontinuous spectral element methods for time‐ and space‐fractional advection equations.…”
Section: Introductionmentioning
confidence: 99%
“…An effective approach is constructed 45 based on Chebyshev operational matrix to obtain the numerical solution of fractional convection diffusion equations with variable coefficients. A space‐time spectral‐Galerkin method is introduced in 46 for solving the time fractional convection‐diffusion equations. Authors of 47 developed discontinuous spectral element methods for time‐ and space‐fractional advection equations.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, the numerical methods for these equations have undergone fast growth in recent years. These methods are based on an optimization technique, Laplace transforms, spectral techniques, and iterative techniques . Other techniques are based on the operational matrix of fractional calculus of orthogonal polynomials with integer orders (Lucas polynomials, Legendre polynomials, and other) .…”
Section: Introductionmentioning
confidence: 99%