$ show convex-optimization-for-all/convex-optimization-for-all.github.io
This repository is a Jekyll-based static site serving as an open-source Korean textbook on convex optimization, titled 'Convex Optimization for All'. It contains 25 chapters covering theory (convex sets, functions, duality) and algorithms (gradient descent, subgradient, Newton, ADMM, etc.), with mathematical notation and practical examples. The site is built for GitHub Pages, uses the Lanyon theme, and includes comment functionality via Utterances. While the content is comprehensive and well-structured, the repository is primarily a content delivery platform rather than a software application. There is a small Python utility script for GitHub issue management, but the core value is the educational material. The project appears to be in a maintenance stalemate, with most content last updated in 2021 and no recent commits. The architecture is standard Jekyll with no novel software engineering patterns.
The LLM identified 1 files worth highlighting for reuse:
A standalone Python script that uses the GitHub API to automatically rename closed issues. It demonstrates a simple but reusable pattern for issue management automation, relying on environment variables for authentication. Could be extracted and adapted for other GitHub repositories with minimal changes.