Application of the Discrete Empirical Interpolation Method to Reduced Order Modeling of Nonlinear and Parametric Systems
By H. Antil, Matthias Heinkenschloss, Danny C. Sorensen. 2014
59 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Statistical and Nonlinear Physics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/fc9fbb184f0e49804f5fb3241519224262ab09bc
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In Electrical and Electronic Engineering
- Andrea Manzoni
- Alfio Maria Quarteroni
- Gianluigi Rozza
- Jan S. Hesthaven
- Stefania Fresca
- L. Zampieri
- Mengwu Guo
In Statistical and Nonlinear Physics
- Andrea Manzoni
- Gianluigi Rozza
- Alfio Maria Quarteroni
- Francesco Ballarin
- Stefano Lorenzi
- Paolo Pacciarini
- Anthony T. Patera
- L. Luzzi
In Statistics and Probability
Citations in the corpus
- Supremizer stabilization of POD–Galerkin approximation of parametrized steady incompressible Navier–Stokes equations (2015, methodology): “Alternative strategies – yet related to a discrete empirical interpolation method (DEIM) – can also be employed, as shown, for example, in [34].”