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This repository contains the Notebook used during the Operations Research (#orms) course at theDepartment 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 theComputational Optimization Research Group. You are welcome to contribute!

Data	Notebook	Link
[2025/05/29]	Training Binary Neural Networks
[2024/05/08]	Traveling Student Problem (TSP)
[2025/04/10]	Optimal Color Transfer between two images
[2025/03/20]	Optimal Linear Regression (updated on 03/04/2025)
[2025/03/13]	Python and Gurobi
[2025/03/13]	Steel Production Planning (intro to Gurobi)
[2025/03/06]	Python in a Nutshell

Data	Solution	Link
[2025/05/22]	Traveling Salesman Problem	atsp.py
[2025/04/30]	Linear regression: solution proposed by a student
[2025/04/30]	Linear regression Diabete dataset	regression_diabete.py
[2025/04/40]	Linear regression noisy sin(x)	regression_sin.py
[2025/04/17]	Optimal Color Transfer	colorTransfer.py
[2025/03/15]	Exercise 2.6: Square Magic	square_magic.py
[2025/03/15]	Exercise 2.5: Steel Recycle Bleending Problem	steel.py

#ORMS Notebooks byStefano Gualandi is licensed under aCreative Commons Attribution 4.0 International License.
Based on a work athttps://github.com/mathcoding/opt4ds.