This repository contains a collection of prototype linear programming (LP) applications that implement specific algorithms I learned in college. The purpose is to demonstrate that these mathematical models can be systematically programmed to solve LP problems in python.
- Adding activities and constraints
- Data Envelopment Analysis
- Dual Simplex
- Duality
- Goal Simplex
- Graphical Method
- Mathematical Preliminaries
- Sensitivity Analysis
- Two-Phase Simplex
- glfw for windowing
- imgui for gui
- matplotlib for graphical method ploting
- sympy for mathematical preliminaries
Install these packages using pip:
pip install -r requirements.txtAcknowledgements
Special thanks to my college instructors for teaching these simplex algorithms and inspiring this project.