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Tutorial: Multiscale PDE learning with Fourier Feature Network
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==============================================================
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|Open In Colab|
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.. |Open In Colab| image:: https://colab.research.google.com/assets/colab-badge.svg
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:target: https://colab.research.google.com/github/mathLab/PINA/blob/master/tutorials/tutorial13/tutorial.ipynb
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This tutorial presents how to solve with Physics-Informed Neural
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Networks (PINNs) a PDE characterized by multiscale behaviour, as
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presented in `On the eigenvector bias of Fourier feature networks: From
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@@ -11,6 +16,15 @@ First of all, some useful imports.
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.. code:: ipython3
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## routine needed to run the notebook on Google Colab
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try:
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import google.colab
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IN_COLAB = True
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except:
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IN_COLAB = False
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if IN_COLAB:
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!pip install "pina-mathlab"
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import torch
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from pina import Condition, Plotter, Trainer, Plotter
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