GitHub - luofqfrank/CID-JGD: component-information-driven joint gradient descent method for solving non-smooth non-convex optimization problems

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component-information-driven joint gradient descent method for solving non-smooth non-convex optimization problems

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Name		Name	Last commit message	Last commit date
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experiments		experiments
optimization_methods		optimization_methods
problem_instances		problem_instances
utils		utils
README.txt		README.txt

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Introduction
This is the code package for the component-information based joint gradient descent method developed in the paper "Nonsmooth, nonconvex optimization using functional encoding and component transition information" by Fengqiao Luo. 

The code is still under management. More commends and instructions will be provided.