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!
| Data | Notebook | Link |
|---|---|---|
| [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 |
|---|---|---|
| [2025/04/30] | 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 by Stefano Gualandi is licensed under a Creative Commons Attribution 4.0 International License.
Based on a work at https://github.com/mathcoding/opt4ds.
