A Julia package for non-smooth optimization algorithms. This package provides algorithms for the minimization of objective functions that include non-smooth terms, such as constraints or non-differentiable penalties.
Features
- (Fast) Proximal gradient methods
- Douglas-Rachford splitting
- Newton-type methods
- Three-term splitting
- Primal-dual splitting algorithms
- Documentation available
Categories
Data VisualizationLicense
MIT LicenseFollow ProximalAlgorithms.jl
Other Useful Business Software
Go From AI Idea to AI App Fast
Access Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of ProximalAlgorithms.jl!