Course: Dynamical systems meets data

This repository contains the course materials for dynamical systems course at the Image and Signal Processing Group, University of Valencia.

🚀 Getting Started

Ensure you have Python 3.8+ installed. The dependencies to install are in the requirements.txt, you can install them via pip:

pip install -r requirements.txt

Clone the repository:

git clone https://github.com/IPL-UV/dynamical_systems_course

Play!

Dynamical system theory quick overview with linear and nonlinear Lorenz 63 examples to explain basic concepts
Dynamic Mode decomposition and Koopman Operators
Coming later: Nonlinearity, Stochasticity, and Forcing in dynamical systems and models

Will be added later

Name		Name	Last commit message	Last commit date
Latest commit History 31 Commits
__pycache__		__pycache__
dev		dev
figures		figures
utils		utils
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
demo1_lorenz63_properties.ipynb		demo1_lorenz63_properties.ipynb
demo2_naive_koopman_for_lorenz63.ipynb		demo2_naive_koopman_for_lorenz63.ipynb
demo3_kmd_duffing.ipynb		demo3_kmd_duffing.ipynb
demo4_kmd_lorenz63.ipynb		demo4_kmd_lorenz63.ipynb
demo5_kmd_sst.ipynb		demo5_kmd_sst.ipynb
requirements.txt		requirements.txt
session1_intro_dynamical_systems.md		session1_intro_dynamical_systems.md
session1_intro_dynamical_systems.pdf		session1_intro_dynamical_systems.pdf
session2_intro_koopman.md		session2_intro_koopman.md
session2_intro_koopman.pdf		session2_intro_koopman.pdf