JuliaFirstOrder/ProximalAlgorithms.jl
Proximal algorithms for nonsmooth optimization in Julia
This is a Julia package designed for solving optimization problems where the objective function includes terms that are not smooth, like strict constraints or non-differentiable penalties. It takes a mathematical problem formulation with non-smooth elements as input and outputs the optimal solution. This tool is for scientists, engineers, and researchers working with complex mathematical models that require advanced optimization techniques.
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Use this if you need to find the best solution for an optimization problem in Julia where your objective function has non-smooth parts or specific constraints.
Not ideal if your optimization problems only involve smooth, differentiable functions, as simpler methods might be more efficient.
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May 24, 2025
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