Accurate and online-efficient evaluation of the a posteriori error bound in the reduced basis method
ESAIM: Mathematical Modelling and Numerical Analysis , Tome 48 (2014) no. 1, pp. 207-229.

The reduced basis method is a model reduction technique yielding substantial savings of computational time when a solution to a parametrized equation has to be computed for many values of the parameter. Certification of the approximation is possible by means of an a posteriori error bound. Under appropriate assumptions, this error bound is computed with an algorithm of complexity independent of the size of the full problem. In practice, the evaluation of the error bound can become very sensitive to round-off errors. We propose herein an explanation of this fact. A first remedy has been proposed in [F. Casenave, Accurate a posteriori error evaluation in the reduced basis method. C. R. Math. Acad. Sci. Paris 350 (2012) 539-542.]. Herein, we improve this remedy by proposing a new approximation of the error bound using the empirical interpolation method (EIM). This method achieves higher levels of accuracy and requires potentially less precomputations than the usual formula. A version of the EIM stabilized with respect to round-off errors is also derived. The method is illustrated on a simple one-dimensional diffusion problem and a three-dimensional acoustic scattering problem solved by a boundary element method.

DOI : 10.1051/m2an/2013097
Classification : 65N15, 65D05, 68W25, 76Q05
Mots clés : reduced basis method, a posteriori error bound, round-off errors, boundary element method, empirical interpolation method, acoustics
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     title = {Accurate and online-efficient evaluation of the \protect\emph{a posteriori }error bound in the reduced basis method},
     journal = {ESAIM: Mathematical Modelling and Numerical Analysis },
     pages = {207--229},
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     zbl = {1288.65157},
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     url = {http://archive.numdam.org/articles/10.1051/m2an/2013097/}
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Casenave, Fabien; Ern, Alexandre; Lelièvre, Tony. Accurate and online-efficient evaluation of the a posteriori error bound in the reduced basis method. ESAIM: Mathematical Modelling and Numerical Analysis , Tome 48 (2014) no. 1, pp. 207-229. doi : 10.1051/m2an/2013097. http://archive.numdam.org/articles/10.1051/m2an/2013097/

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