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Search results for jupyter notebook reduced order models
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2 search results found
Physicsawareae
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13
The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-uniform parameter/time-varying grid, such that the Kolmogorov n-width of the mapped data on the learned grid is minimized.
Incremental_pod
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5
A straightforward prototype implementation of the incremental POD to demonstrate its use in reduced order modeling.
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