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 |
|---|---|---|
| [2024/05/10] | 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 | |
| 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 | |
#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.
