Model order reduction with novel discrete empirical interpolation methods in space

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Model order reduction with novel discrete empirical interpolation methods in space–time

Published:2024-07 Issue: Volume:444 Page:115767
ISSN:0377-0427
Container-title:Journal of Computational and Applied Mathematics
language:en
Short-container-title:Journal of Computational and Applied Mathematics

Author:

Mueller Nicholas^ORCID,Badia Santiago

Publisher

Elsevier BV

Reference44 articles.

1. Space–time least-squares Petrov–Galerkin projection for nonlinear model reduction;Choi;SIAM J. Sci. Comput.,2019

2. A new error bound for reduced basis approximation of parabolic partial differential equations;Urban;C. R. Math.,2012

3. An improved error bound for reduced basis approximation of linear parabolic problems;Urban;Math. Comp.,2014

4. A space–time Petrov–Galerkin certified reduced basis method: application to the Boussinesq equations;Yano;SIAM J. Sci. Comput.,2014

5. A space–time hp–interpolation–based certified reduced basis method for Burgers’ equation;Yano;Math. Models Methods Appl. Sci.,2014

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