This repository contains my weekly mini-projects and lab notebooks from the Operational Research course at Poznan University of Technology (Politechnika Poznańska), taken during the winter semester of 2024/25.
Each lab was focused on solving optimization problems using different techniques and modeling tools in Python – often using libraries like PuLP.
Each lab is available in two formats:
.ipynb– Jupyter notebook (editable, runnable).html– Static version for quick preview
Here’s what each lab covers:
| Lab | Topic | Description |
|---|---|---|
| Lab 2 | 🧮 PuLP Introduction | Formulating and solving LP problems using PuLP. |
| Lab 3 | 🔁 Matrix Form & Duality | Working with standard matrix form of LP and exploring dual problems. |
| Lab 4 | 🚛 Transportation Problem | Classic transportation optimization using LP methods. |
| Lab 5 | 🔌 Power Plant Optimization | Min-cost power generation while meeting demand. |
| Lab 8 | 🌳 Branch and Bound | Integer programming and solving with BnB method. |