Codes for "A penalty barrier framework for nonconvex constrained optimization"

This repository contains the codes accompanying the paper "A penalty barrier framework for nonconvex constrained optimization", by Alberto De Marchi and Andreas Themelis.

All data and figures for the numerical simulations in the manuscript are generated by running the `run_all.m` script in the `demos` folder. These codes were written for research purposes and run in MATLAB R2022b.