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)
[2024/04/19]	Training Binary Neural Networks
[2024/03/22]	Linear Regression with Gurobi
[2024/03/15]	Modeling exercises with Gurobi
[2024/03/11]	Steel Production Planning (intro to Gurobi)
[2024/03/01]	Python in a Nutshell

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

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.