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Add layer to perform RBF interpolation in reduced order modeling (#315)

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* add RBF implementation in pytorch (in layers)
* add POD-RBF example (baseline for nonintrusive closure)
* Add POD only and POD+RBF implementation
* add POD-RBF in tutorial 8
This commit is contained in:
Anna Ivagnes
2024-08-12 14:46:22 +02:00
committed by GitHub
parent 16261c9baf
commit d4ced3a7d7
14 changed files with 1111 additions and 224 deletions
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tutorials/README.md vendored
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@@ -32,4 +32,4 @@ Time dependent Kuramoto Sivashinsky equation using the Averaging Neural Operator
| Description | Tutorial |
|---------------|-----------|
Unstructured convolutional autoencoder via continuous convolution |[[.ipynb](tutorial4/tutorial.ipynb), [.py](tutorial4/tutorial.py), [.html](http://mathlab.github.io/PINA/_rst/tutorials/tutorial4/tutorial.html)]|
POD-NN for reduced order modeling| [[.ipynb](tutorial8/tutorial.ipynb), [.py](tutorial8/tutorial.py), [.html](http://mathlab.github.io/PINA/_rst/tutorials/tutorial8/tutorial.html)]|
POD-RBF and POD-NN for reduced order modeling| [[.ipynb](tutorial8/tutorial.ipynb), [.py](tutorial8/tutorial.py), [.html](http://mathlab.github.io/PINA/_rst/tutorials/tutorial8/tutorial.html)]|