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 |
|---|---|---|
| ColorTransfer | ||
| [2026/05/04] | Traveling Student Problem |  |
| [2026/04/20] | Color Transfer | |
| [2026/03/30] | Modeling and Forecast Italian Electricity Market | lab_scaffold.py |
| [2026/03/23] | Linear Regression | |
| [2026/03/09] | Python and Gurobi | |
| [2026/03/09] | Python in a Nutshell: Autograder | |
| [2026/03/02] | Python in a Nutshell | |
| Data | Solution | Link |
|---|---|---|
| [2026/03/30] | Linear regression Diabete dataset | regression_diabete.py |
| [2026/03/30] | Linear regression noisy sin(x) | regression_sin.py |
| [2026/03/23] | Solution for Sudoku | sudoku.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.
