Proximal operators for use with RegularizedOptimization
-
Updated
Dec 9, 2025 - Julia
Proximal operators for use with RegularizedOptimization
A Julia package for solving multi-objective optimization problems with composite structure (F = f + h). Implements Conditional Gradient, Proximal Gradient, and Partially Derivative-Free algorithms that operate directly on the vector-valued objective, without scalarization or heuristics (direct / vector-optimization methods).
Add a description, image, and links to the composite-optimization topic page so that developers can more easily learn about it.
To associate your repository with the composite-optimization topic, visit your repo's landing page and select "manage topics."