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 |
|---|---|---|
| [2023/05/12] | 8. Traveling Student Problem (TSP) |  |
| [2023/05/12] | 7. Training Neural Networks by Integer Linear Programming | |
| [2023/04/21] | 6. Semantic Segmentation with Linear Programming | |
| [2023/04/14] | 5. Optimal Color Transfer | |
| [2023/03/17] | 4. Binary Classification with Linear Programming | |
| [2023/03/08] | 3. Python and Pyomo | |
| [2023/03/08] | 2. Steel Planning | |
| [2023/03/03] | 1. Python in a Nutshell | |
| Data | Script | Link |
|---|---|---|
| [2023/05/05] | Binary Neural Networks: MIP-training of logical functions | NN_and.py |
| [2023/05/05] | Semantic Segmentation (for Dummies) | segmentation.py |
| [2023/04/05] | Color Transfer | color_transfer.py |
| [2023/03/31] | RNA folding | RNAfolding.py |
| [2023/03/24] | Graph Coloring | graph_coloring.py |
| [2023/03/17] | Integer Steel Blending | blending_IP.py |
| [2023/03/17] | Linear Steel Blending | blending_LP.py |
| [2023/03/15] | Magic squares of dimension N | magic_square.py |
Homework solutions.
| Data | Notebook | Link |
|---|---|---|
| [2023/07/03] | Python in a Nutshell: Solutions to exercises | |
#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.
