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

By Igor Podlubny, Aleksei V. Chechkin, Tomas Skovranek, YangQuan Chen, Blas M. Vinagre. Journal of Computational Physics, 2008

458 citations recorded by the source corpus.

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 [I. Podlubny, Matrix approach to discrete fractional calculus, Fractional Calculus and Applied Analysis 3 (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.

Subfields: Applied Mathematics, Modeling and Simulation, Numerical Analysis

View Paper: https://www.semanticscholar.org/paper/d030913cad3eb9893b8f068e35516dfd405c5fd2

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In Applied Mathematics

  1. YangQuan Chen
  2. Changpin Li
  3. Mingrong Cui
  4. Dingyu Xue
  5. Fanhai Zeng
  6. Qiang Du
  7. Max D. Gunzburger
  8. Kun Zhou

In Modeling and Simulation

  1. Changpin Li
  2. Ivo Petrás
  3. YangQuan Chen
  4. Fanhai Zeng
  5. Dingyu Xue
  6. Qiang Du
  7. Mingrong Cui
  8. Max D. Gunzburger

In Numerical Analysis

  1. Changpin Li
  2. Ivo Petrás
  3. Fanhai Zeng
  4. YangQuan Chen
  5. Dingyu Xue
  6. Mingrong Cui
  7. R. Lehoucq
  8. Qiang Du

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