Citing PyGRANSO ======================== If you publish work that uses or refers to PyGRANSO, please cite the following two papers, which respectively introduced PyGRANSO and GRANSO: *[1] Buyun Liang, Tim Mitchell, and Ju Sun, NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning, arXiv preprint arXiv:2111.13984 (2021).* Available at https://arxiv.org/abs/2111.13984 *[2] Frank E. Curtis, Tim Mitchell, and Michael L. Overton, A BFGS-SQP method for nonsmooth, nonconvex, constrained optimization and its evaluation using relative minimization profiles, Optimization Methods and Software, 32(1):148-181, 2017.* Available at https://dx.doi.org/10.1080/10556788.2016.1208749 BibTex:: @article{liang2021ncvx, title={{NCVX}: {A} User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning}, author={Buyun Liang, Tim Mitchell, and Ju Sun}, year={2021}, eprint={2111.13984}, archivePrefix={arXiv}, primaryClass={cs.LG} } @article{curtis2017bfgssqp, title={A {BFGS-SQP} method for nonsmooth, nonconvex, constrained optimization and its evaluation using relative minimization profiles}, author={Frank E. Curtis, Tim Mitchell, and Michael L. Overton}, journal={Optimization Methods and Software}, volume={32}, number={1}, pages={148--181}, year={2017}, publisher={Taylor \& Francis} }