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Published in 2024 at "Wiley Interdisciplinary Reviews: Computational Statistics"
DOI: 10.1002/wics.1653
Abstract: The discrete empirical interpolation method (DEIM) is well established as a means of performing model order reduction in approximating solutions to differential equations, but it has also more recently demonstrated potential in performing data class…
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Keywords:
interpolation method;
data summarization;
discrete empirical;
empirical interpolation ... See more keywords
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Published in 2022 at "Symmetry"
DOI: 10.3390/sym14030556
Abstract: As efficient separation of variables plays a central role in model reduction for nonlinear and nonaffine parameterized systems, we propose a stochastic discrete empirical interpolation method (SDEIM) for this purpose. In our SDEIM, candidate basis…
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Keywords:
parameterized systems;
interpolation approach;
empirical interpolation;
stochastic discrete ... See more keywords