2014
DOI: 10.1002/num.21947
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A series of high-order quasi-compact schemes for space fractional diffusion equations based on the superconvergent approximations for fractional derivatives

Abstract: Based on the superconvergent approximation at some point (depending on the fractional order α, but not belonging to the mesh points) for Grünwald discretization to fractional derivative, we develop a series of high order quasi-compact schemes for space fractional diffusion equations. Because of the quasi-compactness of the derived schemes, no points beyond the domain are used for all the high order schemes including second order, third order, fourth order, and even higher order schemes; moreover, the algebraic… Show more

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Cited by 44 publications
(43 citation statements)
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“…We consider the following test example for the fractional diffusion problem (24). The test problem was applied to the CN type numerical schemes developed in Section 5.…”
Section: Numerical Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…We consider the following test example for the fractional diffusion problem (24). The test problem was applied to the CN type numerical schemes developed in Section 5.…”
Section: Numerical Resultsmentioning
confidence: 99%
“…We present the CN type scheme with the third order approximation in (18) for the space fractional derivative using W 2,1 (z) with the preconditioner operator P x = 1 + h 2 a 2 (1)D 2 . For the second order approximation in (15), P x will be the unit operator I. Preconditioning (24) by P x , one gets the equivalent equation…”
Section: Approximation Of Fractional Diffusion Equationmentioning
confidence: 99%
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“…The finite difference methods for the conventional diffusion problems were extended in some sense including the development of higher-order methods for the spatial discretization [1], [2] and the time integration [3], generalization of ADI methods [4], [5], construction of appropriate iterative solvers [6] and computing on non-uniform meshes [7]. On the development of the computational efficiency we refer to [5] and [7].…”
Section: Introductionmentioning
confidence: 99%