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The Reduced Basis Element Method: Offline-Online Decomposition in the Nonconforming, Nonaffine Case

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Spectral and High Order Methods for Partial Differential Equations

Part of the book series: Lecture Notes in Computational Science and Engineering ((LNCSE,volume 76))

Abstract

This work focuses on the reduced basis element method applied to the steady Stokes problem with geometric parameter dependence [2, 4]. We present a decoupling of the operators involved in the steady Stokes problem, which together with empirical interpolation [1] allows for complete separation of the offline-online complexity for the nonaffine case. We present numerical results from a hierarchical flow system in two dimensions, where both pipes and bifurcations are used as building blocks.

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References

  1. M. Barrault, Y. Maday, N. C. Nguyen, and A. T. Patera. An empirical interpolation method: Application to efficient reduced-basis discretization of partial differential equations. C. R. Acad. Sci. Paris, Serie I, 339, 667–672 (2004)

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  2. A. E. Løvgren, Y. Maday, and E. M. Rønquist. A reduced basis element method for the steady Stokes problem. M2AN, 40(3), 529–552 (2006)

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  3. Y. Maday and E. M. Rønquist. The reduced-basis element method: Application to a thermal fin problem. SIAM J. Sci. Comput., 26(1), 240–258 (2004)

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  4. G. Rozza and A. Quarteroni. Numerical solution of parametrized Navier–Stokes equations by reduced basis methods. Numer. Meth. for PDEs, 23(4), 923–948 (2007)

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Acknowledgements

This work has been supported by the Research Council of Norway through a Centre of Excellence grant to the Center for Biomedical Computing.

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Correspondence to A. E. Løvgren .

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Løvgren, A.E., Maday, Y., Rønquist, E.M. (2011). The Reduced Basis Element Method: Offline-Online Decomposition in the Nonconforming, Nonaffine Case. In: Hesthaven, J., Rønquist, E. (eds) Spectral and High Order Methods for Partial Differential Equations. Lecture Notes in Computational Science and Engineering, vol 76. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15337-2_22

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