osqp-eigen is a C++ wrapper library for the OSQP (Operator Splitting Quadratic Program) solver. It provides an intuitive interface for formulating and solving quadratic programming problems using Eigen data types for matrices and vectors. The library handles the conversion between Eigen's sparse matrix format and OSQP's internal CSC format, manages solver initialization and configuration, and supports advanced features like warm-starting and iterative problem updates without full reinitialization. The architecture is modular with separate Data, Settings, and Solver classes, and includes robust version compatibility handling for different OSQP releases.
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.