MATH329-Algebraic-Method

A Python-based tool for solving Linear Programming Problems (LPP) using the algebraic method. This project is designed to provide an efficient way to solve LPPs through both a command-line interface (CLI) and a graphical user interface (GUI). It leverages the powerful numerical computing capabilities of NumPy.

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Table of Contents

• Introduction
• Features
• Installation
• Usage
  • Command-Line Interface (CLI)
  • Graphical User Interface (GUI)
• Dependencies
• Configuration
• Troubleshooting
• Contributors

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Introduction

This project is a Python implementation of the algebraic method for solving Linear Programming Problems (LPP). It is aimed at helping students and professionals understand and apply LPP solutions in an intuitive and user-friendly manner.

Key aspects include:

• CLI Tool for users who prefer command-line operations.
• GUI Application for a more interactive experience.

The project is part of the MATH329 coursework and uses NumPy to handle matrix operations efficiently.

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Features

• Solve Linear Programming Problems using the algebraic method.
• Two user interfaces:
  • Command-Line Interface (CLI)
  • Graphical User Interface (GUI)
• Easy-to-understand results and outputs.
• Dependency on Python's robust numpy library for numerical computations.

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Installation

1. Clone the repository:

   git clone https://github.com/iMD10/MATH329-Algebraic-Method.git
   cd MATH329-Algebraic-Method

2. Install required dependencies:

   pip install numpy

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Usage

Command-Line Interface (CLI)

1. Navigate to the project directory.
2. Run the CLI script:

   python CLIAlgebric.py

3. Follow the prompts to input problem constraints and objectives.

Graphical User Interface (GUI)

1. Navigate to the project directory.
2. Run the GUI script:

   python GUIAlgebric.py

3. Use the interactive interface to input the problem details and view the solution.

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Dependencies

The project depends on the following Python libraries:

• numpy (for matrix operations and numerical computations)

Install dependencies using:

pip install -r requirements.txt

(Ensure you create a requirements.txt file listing the dependencies.)

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Configuration

There is no additional configuration required. Ensure Python 3.x and the required dependencies are installed.

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Troubleshooting

• Error: ModuleNotFoundError: No module named 'numpy'

  • Solution: Ensure NumPy is installed by running pip install numpy.

• GUI not opening:

  • Ensure you have Python Tkinter installed (comes pre-installed with most Python distributions).

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Contributors

• Muhannad Majed
  GitHub: @iMD10

• Mohammed Saleh
  GitHub: @rayq-q

• Mohammed Mansour
  GitHub: @MrM3ROF

• Eyad Fahad
  GitHub: @commando-xxt

• Amer Mohammed
  GitHub: @3wex

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Feel free to open issues or contribute to the project to make it better. Enjoy solving LPPs with ease!