Citation¶
If you use PDHCG-II in your research, please cite the following papers:
Main Paper¶
@misc{li2026pdhcgiienhancedversionpdhcg,
title={PDHCG-II: An Enhanced Version of PDHCG for Large-Scale Convex QP},
author={Hongpei Li and Yicheng Huang and Huikang Liu and Dongdong Ge and Yinyu Ye},
year={2026},
eprint={2602.23967},
archivePrefix={arXiv},
primaryClass={math.OC},
url={https://arxiv.org/abs/2602.23967},
}
Original PDHCG Paper¶
@misc{pdhcg,
author = {Y. Huang, W. Zhang, H. Li, H. Liu, D. Ge and Y. Ye},
publisher = {INFORMS Journal on Computing},
title = {A Restarted Primal-Dual Hybrid Conjugate Gradient Method for Large-Scale Quadratic Programming},
year = {2025},
doi = {10.1287/ijoc.2024.0983.cd},
url = {https://github.com/INFORMSJoC/2024.0983},
note = {Available for download at https://github.com/INFORMSJoC/2024.0983},
}
Links¶
Acknowledgments¶
This solver is built upon the infrastructure of cuPDLPx (originally developed by Haihao Lu). We gratefully acknowledge this project for providing the high-performance CUDA-C framework for Linear Programming (LP) that serves as the foundation for this QP solver.