Proximal operators for nonsmooth optimization in Julia. This package can be used to easily implement proximal algorithms for convex and nonconvex optimization problems such as ADMM, the alternating direction method of multipliers. With using ProximalOperators the package exports the prox and prox! methods to evaluate the proximal mapping of several functions.
Features
- Documentation available
- Examples available
- Proximal operators for nonsmooth optimization in Julia
- This package can be used to easily implement proximal algorithms for convex and nonconvex optimization problems
- ADMM, the alternating direction method of multipliers
- Licensed under the MIT License
Categories
Data VisualizationLicense
MIT LicenseFollow ProximalOperators.jl
Other Useful Business Software
Ship Agents Faster
Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of ProximalOperators.jl!