https://github.com/flrs/linear_programming_with_or_tools
Linear Programming with Google's OR-Tools
https://github.com/flrs/linear_programming_with_or_tools
Last synced: over 1 year ago
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Linear Programming with Google's OR-Tools
- Host: GitHub
- URL: https://github.com/flrs/linear_programming_with_or_tools
- Owner: flrs
- Created: 2021-02-14T00:33:03.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2021-02-14T02:55:22.000Z (over 5 years ago)
- Last Synced: 2025-03-24T00:48:22.562Z (over 1 year ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 2.24 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Linear Programming with OR-Tools
In this repository, we use [Google's OR-Tools](https://developers.google.com/optimization/) to solve an optimization
task with linear programming. Linear programming is a way of optimizing the outcome of a mathematical model with linear
dependencies under constraints.
## Getting Started
To get started with the analysis, it is easiest to boot up the analysis notebook in Binder:
[](https://mybinder.org/v2/gh/flrs/linear_programming_with_or_tools/HEAD?filepath=notebooks%2Famphibians_vs_preys_linear_programming_analysis.ipynb)
## Contents
- [data](./data) - Data used for defining ecosystems
- [notebooks](./notebooks) – Notebooks with analyses and examples
- [amphibians_vs_preys_linear_programming_analysis.ipynb](./notebooks/amphibians_vs_preys_linear_programming_analysis.ipynb) – [](https://mybinder.org/v2/gh/flrs/linear_programming_with_or_tools/HEAD?filepath=notebooks%2Famphibians_vs_preys_linear_programming_analysis.ipynb) | [HTML](https://flrs.github.io/linear_programming_with_or_tools/) – Main analysis
- [ecosystem_example.ipynb](./notebooks/ecosystem_example.ipynb) – [](https://mybinder.org/v2/gh/flrs/linear_programming_with_or_tools/HEAD?filepath=%2Fnotebooks%2Fecosystem_example.ipynb) – Example about how to use the `Ecosystem` class
- [src](./src) – Source code for `Ecosystem` class
## License
All code in this repository is proprietary.