Convex Optimization Toolkit
Published:
A comprehensive toolkit for convex optimization problems, featuring implementations of state-of-the-art algorithms and practical applications. This project includes both theoretical foundations and practical solver implementations.
Key Features
- Interior point methods
- Proximal gradient algorithms
- ADMM implementations
- Real-world optimization examples
Technologies
- CVXPy
- NumPy/SciPy
- Jupyter notebooks
- Mathematical optimization libraries