committed by
GitHub
parent
6a4febb33a
commit
78ed2a67a2
@@ -1,6 +1,11 @@
|
||||
Tutorial: Physics Informed Neural Networks on PINA
|
||||
==================================================
|
||||
|
||||
|Open In Colab|
|
||||
|
||||
.. |Open In Colab| image:: https://colab.research.google.com/assets/colab-badge.svg
|
||||
:target: https://colab.research.google.com/github/mathLab/PINA/blob/master/tutorials/tutorial1/tutorial.ipynb
|
||||
|
||||
In this tutorial, we will demonstrate a typical use case of **PINA** on
|
||||
a toy problem, following the standard API procedure.
|
||||
|
||||
@@ -74,6 +79,15 @@ What if our equation is also time-dependent? In this case, our ``class``
|
||||
will inherit from both ``SpatialProblem`` and ``TimeDependentProblem``:
|
||||
|
||||
.. code:: ipython3
|
||||
|
||||
## routine needed to run the notebook on Google Colab
|
||||
try:
|
||||
import google.colab
|
||||
IN_COLAB = True
|
||||
except:
|
||||
IN_COLAB = False
|
||||
if IN_COLAB:
|
||||
!pip install "pina-mathlab"
|
||||
|
||||
from pina.problem import SpatialProblem, TimeDependentProblem
|
||||
from pina.geometry import CartesianDomain
|
||||
|
||||
Reference in New Issue
Block a user