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Operations Research 2K24

This repository contains the Notebook used during the Operations Research (#orms) course at the Department of Mathematics at the University of Pavia.

Every notebook can be opened directly on the web using Google Colab, by clicking on the corresponding Colab icon.

This repository is maintained by the Computational Optimization Research Group. You are welcome to contribute!

Python Notebooks

Data Notebook Link
[2024/05/10] Traveling Student Problem (TSP) Open In Colab
[2024/04/19] Training Binary Neural Networks Open In Colab
[2024/03/22] Linear Regression with Gurobi Open In Colab
[2024/03/15] Modeling exercises with Gurobi Open In Colab
[2024/03/11] Steel Production Planning (intro to Gurobi) Open In Colab
[2024/03/01] Python in a Nutshell Open In Colab

Homeworks solutions

Data Solution Link
[2024/05/17] Asymmetric TSP atsp.py
[2024/05/17] Symmetric TSP tsp.py
[2024/05/03] Training a BNN for the XOR logical function (non linearly separable NN_xor.py
[2024/04/22] Training a BNN for the AND logical function NN_and.py
[2024/04/15] Optimal Color Transfer colorTransfer.py
[2024/04/12] Linear regression Diabete dataset regression_diabete.py
[2024/04/12] Linear regression noisy $sin(x)$ regression_sin.py
[2024/03/15] Exercise 2.6: Square Magic square_magic.py
[2024/03/15] Exercise 2.5: Steel Recycle Bleending Problem steel.py
[2024/03/01] Python in a Nutshell: Solutions to exercises Open In Colab

License

Creative Commons License
#ORMS Notebooks by Stefano Gualandi is licensed under a Creative Commons Attribution 4.0 International License.
Based on a work at https://github.com/mathcoding/opt4ds.