Approximation of Parametric Derivatives by the Empirical Interpolation Method

We introduce a general a priori convergence result for the approximation of parametric derivatives of parametrized functions. We consider the best approximations to parametric derivatives in a sequence of approximation spaces generated by a general approximation scheme, and we show that these approx...

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Main Authors: Grepl, Martin A., Patera, Anthony T., Ronquist, Einar M., Eftang, Jens L.
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering
Format: Article
Language:en_US
Published: Springer-Verlag 2013
Online Access:http://hdl.handle.net/1721.1/80806
https://orcid.org/0000-0002-2631-6463
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author Grepl, Martin A.
Patera, Anthony T.
Ronquist, Einar M.
Eftang, Jens L.
author2 Massachusetts Institute of Technology. Department of Mechanical Engineering
author_facet Massachusetts Institute of Technology. Department of Mechanical Engineering
Grepl, Martin A.
Patera, Anthony T.
Ronquist, Einar M.
Eftang, Jens L.
author_sort Grepl, Martin A.
collection MIT
description We introduce a general a priori convergence result for the approximation of parametric derivatives of parametrized functions. We consider the best approximations to parametric derivatives in a sequence of approximation spaces generated by a general approximation scheme, and we show that these approximations are convergent provided that the best approximation to the function itself is convergent. We also provide estimates for the convergence rates. We present numerical results with spaces generated by a particular approximation scheme—the Empirical Interpolation Method—to confirm the validity of the general theory.
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spelling mit-1721.1/808062022-10-02T03:04:34Z Approximation of Parametric Derivatives by the Empirical Interpolation Method Grepl, Martin A. Patera, Anthony T. Ronquist, Einar M. Eftang, Jens L. Massachusetts Institute of Technology. Department of Mechanical Engineering Eftang, Jens L. Patera, Anthony T. We introduce a general a priori convergence result for the approximation of parametric derivatives of parametrized functions. We consider the best approximations to parametric derivatives in a sequence of approximation spaces generated by a general approximation scheme, and we show that these approximations are convergent provided that the best approximation to the function itself is convergent. We also provide estimates for the convergence rates. We present numerical results with spaces generated by a particular approximation scheme—the Empirical Interpolation Method—to confirm the validity of the general theory. 2013-09-19T14:10:19Z 2013-09-19T14:10:19Z 2012-06 2011-09 Article http://purl.org/eprint/type/JournalArticle 1615-3375 1615-3383 http://hdl.handle.net/1721.1/80806 Eftang, Jens L., Martin A. Grepl, Anthony T. Patera, and Einar M. Rønquist. Approximation of Parametric Derivatives by the Empirical Interpolation Method. Foundations of Computational Mathematics (June 19, 2012). https://orcid.org/0000-0002-2631-6463 en_US http://dx.doi.org/10.1007/s10208-012-9125-9 Foundations of Computational Mathematics Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Springer-Verlag MIT web domain
spellingShingle Grepl, Martin A.
Patera, Anthony T.
Ronquist, Einar M.
Eftang, Jens L.
Approximation of Parametric Derivatives by the Empirical Interpolation Method
title Approximation of Parametric Derivatives by the Empirical Interpolation Method
title_full Approximation of Parametric Derivatives by the Empirical Interpolation Method
title_fullStr Approximation of Parametric Derivatives by the Empirical Interpolation Method
title_full_unstemmed Approximation of Parametric Derivatives by the Empirical Interpolation Method
title_short Approximation of Parametric Derivatives by the Empirical Interpolation Method
title_sort approximation of parametric derivatives by the empirical interpolation method
url http://hdl.handle.net/1721.1/80806
https://orcid.org/0000-0002-2631-6463
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