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Improved successive constraint method based a posteriori error estimate for reduced basis approximationof 2D Maxwell's problem

Published online by Cambridge University Press:  21 August 2009

Yanlai Chen ,
Jan S. Hesthaven ,
Yvon Maday  and
Jerónimo Rodríguez
Yanlai Chen
Affiliation:
Division of Applied Mathematics, Brown University, 182 George St, Providence, RI 02912, USA. [email protected]; [email protected]
Jan S. Hesthaven
Affiliation:
Division of Applied Mathematics, Brown University, 182 George St, Providence, RI 02912, USA. [email protected]; [email protected]
Yvon Maday
Affiliation:
Division of Applied Mathematics, Brown University, 182 George St, Providence, RI 02912, USA. [email protected]; [email protected] Université Pierre et Marie Curie-Paris 6, UMR 7598, Laboratoire J.-L. Lions, 75005 Paris, France. [email protected]
Jerónimo Rodríguez
Affiliation:
Departamento de Matemática Aplicada, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain. [email protected]
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Abstract


In a posteriori error analysis of reduced basis approximations to affinely parametrized partial differential equations, the construction of lower bounds for the coercivity and inf-supstability constants is essential. In [Huynh et al., C. R. Acad.Sci. Paris Ser. I Math.345 (2007) 473–478], the authors presented an efficientmethod, compatible with an off-line/on-line strategy, where the on-line computation is reduced tominimizing a linear functional under a few linear constraints. These constraints depend on nested sets of parameters obtained iteratively using a greedy algorithm. We improve here this method so that it becomes more efficient and robust due to two related properties: (i) the lower bound isobtained by a monotonic process with respect to the size of the nested sets; (ii) less eigen-problems need to be solved. This improved evaluation of the inf-sup constant is then used to consider a reduced basis approximation of a parameter dependent electromagnetic cavity problem both for the greedy construction of the elements of the basis and the subsequent validation of the reduced basis approximation. The problem we consider has resonance features for some choices of the parameters that are well captured by the methodology.


Keywords

Reduced basis methodsuccessive constraint methodinf-sup constanta posteriori error estimateMaxwell's equationdiscontinuous Galerkin method.
Type
Research Article
Information
ESAIM: Mathematical Modelling and Numerical Analysis , Volume 43 , Issue 6 , November 2009 , pp. 1099 - 1116
Copyright
© EDP Sciences, SMAI, 2009

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