Double greedy algorithms: Reduced basis methods for transport dominated problems
ESAIM: Mathematical Modelling and Numerical Analysis , Tome 48 (2014) no. 3, pp. 623-663.

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The central objective of this paper is to develop reduced basis methods for parameter dependent transport dominated problems that are rigorously proven to exhibit rate-optimal performance when compared with the Kolmogorov n-widths of the solution sets. The central ingredient is the construction of computationally feasible “tight” surrogates which in turn are based on deriving a suitable well-conditioned variational formulation for the parameter dependent problem. The theoretical results are illustrated by numerical experiments for convection-diffusion and pure transport equations. In particular, the latter example sheds some light on the smoothness of the dependence of the solutions on the parameters.

DOI : 10.1051/m2an/2013103
Classification : 65J10, 65N12, 65N15, 35B30
Keywords: tight surrogates, stable variational formulations, saddle point problems, double greedy schemes, greedy stabilization, rate-optimality, transport equations, convection-diffusion equations
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     title = {Double greedy algorithms: {Reduced} basis methods for transport dominated problems},
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Dahmen, Wolfgang; Plesken, Christian; Welper, Gerrit. Double greedy algorithms: Reduced basis methods for transport dominated problems. ESAIM: Mathematical Modelling and Numerical Analysis , Tome 48 (2014) no. 3, pp. 623-663. doi : 10.1051/m2an/2013103. http://geodesic.mathdoc.fr/articles/10.1051/m2an/2013103/

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