Python ODE solving tutorial
1. Python Tutorial and JupyterNotebook Setup
If you need an assist to setup your computer to handle numerical computations and showing interactive results, this 15-min video would give you the first step.
2.Python ODE solver
View slides | Jupyter notebook | Youtube video
3. PINN for Dynamical systems
This 18 min video would provide you the tutorial to “Implementation and Python Library Tutorial for PINNs to Handle Dynamical Systems”.
Lorenz model and its inverse/forward problems are chosen as the example for dynamical systems.
I attached the modified example code for forward/inverse Lorenz model in jupyter notebook (ipnb) and the slides.
View slides | Jupyter notebook - pytorch PINN | Jupyter notebook - DeepXDE | Youtube video