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Linear Programming Solver

Solving Linear Programming Problems using the Big M and Graphic Methods

Welcome to the Linear Programming Solver repository! This project provides a Python implementation for solving linear programming problems using both the Big M Method and the Graphic Method.

Introduction

Linear programming is a mathematical technique used to optimize a system with linear constraints. This repository offers Python implementations of two powerful methods for solving linear programming problems: the Big M Method and the Graphic Method.

Features

  • Implementation of the Big M Method for solving linear programming problems.
  • Implementation of the Graphic Method for visualization and solving.
  • Easy-to-understand code structure and examples.
  • Usage instructions and explanations of concepts.

Usage

  1. Clone the repository: https://github.com/ranizouaoui/Linear-Programming-Solver/
cd linear-programming-solver
  1. Run the solver:
pip install -r "requirements.txt"
python solver.py
  1. Follow the prompts to select the method and input the problem parameters.

Contributing

Contributions are welcome! Whether you want to enhance the solvers, add more methods, or improve documentation, feel free to open an issue or submit a pull request.

License

This project is licensed under the MIT License.