期刊
JOURNAL OF COMPUTATIONAL PHYSICS
卷 213, 期 1, 页码 205-213出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jcp.2005.08.008
关键词
fractional partial differential equation; second-order accurate finite difference approximation; stability analysis; Crank-Nicholson method; numerical fractional PDE; numerical algorithm for superdiffusion
Fractional order diffusion equations are generalizations of classical diffusion equations, treating super-diffusive flow processes. In this paper, we examine a practical numerical method which is second-order accurate in time and in space to solve a class of initial-boundary value fractional diffusive equations with variable coefficients on a finite domain. An approach based on the classical Crank-Nicholson method combined with spatial extrapolation is used to obtain temporally and spatially second-order accurate numerical estimates. Stability, consistency, and (therefore) convergence of the method are examined. It is shown that the fractional Crank-Nicholson method based on the shifted Grunwald formula is unconditionally stable. A numerical example is presented and compared with the exact analytical solution for its order of convergence. (c) 2005 Elsevier Inc. All rights reserved.
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