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}
    }