Pyomo is a Python-based open-source optimization modeling language. It allows you to express complex optimization problems in a simple and intuitive manner. With Pyomo, you can formulate, solve, and analyze optimization models efficiently.
In this repository, you'll discover a collection of Jupyter notebooks, each tackling a specific optimization problem. These notebooks provide a step-by-step guide, including:
- Problem Description: A clear explanation of the optimization problem at hand.
- Model Formulation: How the problem is mathematically formulated as an optimization model.
- Pyomo Implementation: Code snippets demonstrating how to implement the model in Pyomo.
- Solution: How to solve the problem using optimization solvers like Gurobi or CBC.
- Visualization and Analysis: Visual representations of results and in-depth analysis of the solutions.
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Telegram Channel ---> https://t.me/PyomoChannel
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We encourage contributions to make this repository even more valuable. If you'd like to contribute, please follow these guidelines:
Fork the repository and create a new branch for your contribution. Ensure your code is clean, readable, and well-documented. Test your changes to guarantee their correctness and effectiveness. Submit a pull request, providing clear descriptions of your modifications and any relevant context. Let's work together to build a vibrant hub of optimization knowledge and expertise!