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An hp certified reduced basis method for parametrized parabolic partial differential equations

Author

Listed:
  • Jens L. Eftang
  • David J. Knezevic
  • Anthony T. Patera

Abstract

In this article, we introduce an hp certified reduced basis (RB) method for parabolic partial differential equations. We invoke a Proper Orthogonal Decomposition (POD) (in time)/Greedy (in parameter) sampling procedure first in the initial partition of the parameter domain ( h -refinement) and subsequently in the construction of RB approximation spaces restricted to each parameter subdomain ( p -refinement). We show that proper balance between additional POD modes and additional parameter values in the initial subdivision process guarantees convergence of the approach. We present numerical results for two model problems: linear convection--diffusion and quadratically non-linear Boussinesq natural convection. The new procedure is significantly faster (more costly) in the RB Online (Offline) stage.

Suggested Citation

  • Jens L. Eftang & David J. Knezevic & Anthony T. Patera, 2010. "An hp certified reduced basis method for parametrized parabolic partial differential equations," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 17(4), pages 395-422, September.
  • Handle: RePEc:taf:nmcmxx:v:17:y:2010:i:4:p:395-422
    DOI: 10.1080/13873954.2011.547670
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    Cited by:

    1. M. Redeker & B. Haasdonk, 2016. "A POD–EIM reduced two-scale model for precipitation in porous media," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 22(4), pages 323-344, July.

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