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7 changes: 7 additions & 0 deletions .gitignore
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_site/
.sass-cache/
.jekyll-cache/
.jekyll-metadata
vendor/
Gemfile.lock
.bundle/
22 changes: 22 additions & 0 deletions Gemfile
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source "https://rubygems.org"

gem "jekyll", "~> 4.3"
gem "minima", "~> 2.5"

group :jekyll_plugins do
gem "jekyll-feed", "~> 0.12"
end

# Windows and JRuby does not include zoneinfo files, so bundle the tzinfo-data gem
# and associated library.
platforms :mingw, :x64_mingw, :mswin, :jruby do
gem "tzinfo", ">= 1", "< 3"
gem "tzinfo-data"
end

# Performance-booster for watching directories on Windows
gem "wdm", "~> 0.1", :platforms => [:mingw, :x64_mingw, :mswin]

# Lock `http_parser.rb` gem to `v0.6.x` on JRuby builds since newer versions of the gem
# do not have a Java counterpart.
gem "http_parser.rb", "~> 0.6.0", :platforms => [:jruby]
15 changes: 15 additions & 0 deletions _config.yml
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# Site settings
title: OR-toolkit
description: Operations Research Toolkit - A collection of tools and libraries for optimization problems
url: "https://or-toolkit.github.io"
baseurl: ""

# Build settings
markdown: kramdown
theme: minima

# Exclude from processing
exclude:
- README.md
- Gemfile
- Gemfile.lock
65 changes: 65 additions & 0 deletions index.md
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---
layout: default
title: Home
---

# OR-toolkit

## About / Mission

OR-toolkit is a research-oriented organization dedicated to developing and maintaining high-quality tools and libraries for Operations Research and optimization problems. Our mission is to provide accessible, efficient, and well-documented implementations of advanced optimization techniques that can be used by researchers, students, and practitioners alike.

We focus on creating modular, extensible solutions that address real-world optimization challenges while maintaining academic rigor and practical applicability.

---

## Projects

Our main repositories showcase different aspects of optimization and Operations Research:

### Column Generation
Advanced algorithms and tools for solving large-scale optimization problems using column generation techniques. This project provides efficient implementations of Dantzig-Wolfe decomposition and cutting-stock problem solvers.

**Repository:** [Column Generation](https://github.com/OR-toolkit/Column-Generation)

### Stochastic Programming
Tools and frameworks for modeling and solving optimization problems under uncertainty. Includes scenario generation, stochastic decomposition methods, and sample average approximation techniques.

**Repository:** [Stochastic Programming](https://github.com/OR-toolkit/Stochastic-Programming)

---

## Participation

We welcome contributions from the community! Here's how you can get involved:

### How to Contribute

1. **Report Issues:** If you find bugs or have feature requests, please open an issue in the relevant repository
2. **Submit Pull Requests:** We welcome code contributions. Please ensure your code follows our coding standards and includes appropriate tests
3. **Documentation:** Help us improve our documentation by fixing errors or adding examples
4. **Spread the Word:** Star our repositories and share them with others who might benefit

### Getting Started

- Browse our repositories and find something that interests you
- Read the README and CONTRIBUTING guidelines in each repository
- Start with "good first issue" labels if you're new to the project
- Join discussions and ask questions

---

## Contact

For questions, collaboration opportunities, or general inquiries, please reach out:

- **Email:** [or-toolkit@example.com](mailto:or-toolkit@example.com)
- **GitHub:** [OR-toolkit Organization](https://github.com/OR-toolkit)

We're always interested in hearing about how you're using our tools or ideas for new features!

---

<div style="text-align: center; margin-top: 2em; color: #666;">
<small>© 2024 OR-toolkit. All rights reserved.</small>
</div>
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