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      Matrix approach to discrete fractional calculus II: partial fractional differential equations

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          Abstract

          A new method that enables easy and convenient discretization of partial differential equations with derivatives of arbitrary real order (so-called fractional derivatives) and delays is presented and illustrated on numerical solution of various types of fractional diffusion equation. The suggested method is the development of Podlubny's matrix approach (Fractional Calculus and Applied Analysis, vol. 3, no. 4, 2000, 359--386). Four examples of numerical solution of fractional diffusion equation with various combinations of time/space fractional derivatives (integer/integer, fractional/integer, integer/fractional, and fractional/fractional) with respect to time and to the spatial variable are provided in order to illustrate how simple and general is the suggested approach. The fifth example illustrates that the method can be equally simply used for fractional differential equations with delays. A set of MATLAB routines for the implementation of the method as well as sample code used to solve the examples have been developed.

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          The restaurant at the end of the random walk: recent developments in the description of anomalous transport by fractional dynamics

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            Finite difference approximations for fractional advection–dispersion flow equations

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              Finite difference/spectral approximations for the time-fractional diffusion equation

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                Author and article information

                Journal
                09 November 2008
                2009-01-14
                Article
                10.1016/j.jcp.2009.01.014
                0811.1355
                3e9cb42c-d87e-40dc-8932-ecbce207abe5

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

                History
                Custom metadata
                26A33; 65M06; 91B82; 65Z05; 65D25
                Journal of Computational Physics, vol. 228, no. 8, 1 May 2009, pp. 3137-3153
                33 pages, 12 figures
                math.NA cs.NA math-ph math.CA math.MP physics.comp-ph

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