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Numerical methods for fractional diffusion

  • Special Issue FEM Symposium 2017
  • Published:
Computing and Visualization in Science

Abstract

We present three schemes for the numerical approximation of fractional diffusion, which build on different definitions of such a non-local process. The first method is a PDE approach that applies to the spectral definition and exploits the extension to one higher dimension. The second method is the integral formulation and deals with singular non-integrable kernels. The third method is a discretization of the Dunford–Taylor formula. We discuss pros and cons of each method, error estimates, and document their performance with a few numerical experiments.

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Correspondence to Ricardo H. Nochetto.

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Communicated by Thomas Apel.

AB is supported in part by NSF grant DMS-1254618. JPB has been partially supported by a CONICET doctoral fellowship. RHN has been supported in part by NSF grant DMS-1411808. EO has been supported in part by CONICYT through project FONDECYT 3160201. AJS is supported by NSF grant DMS-1418784.

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Bonito, A., Borthagaray, J.P., Nochetto, R.H. et al. Numerical methods for fractional diffusion. Comput. Visual Sci. 19, 19–46 (2018). https://doi.org/10.1007/s00791-018-0289-y

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  • DOI: https://doi.org/10.1007/s00791-018-0289-y

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