About CDOpt

Developers

The Python version of CDOptis developed by Dr. Nachuan Xiao, Dr. Xiaoyin Hu, Prof. Xin Liu and Prof. Kim-Chuan Toh. Being research software, it is also perpetually working in progress. We welcome contributions, bug reports and feedback.

Cite CDOpt

If you publish work that uses or refers to CDOpt, please cite the following two papers, which respectively propose the constraint dissolving approaches and describes the CDOpt package:

1. Xiao N, Liu X, Toh K C. Constraint Dissolving Approaches for Riemannian Optimization[J]. arXiv preprint arXiv:2203.10319, 2022.

2. Xiao N, Hu X, Liu X, et al. CDOpt: A Python Package for a Class of Riemannian Optimization[J]. arXiv preprint arXiv:2212.02698, 2022.

Moreover, if your work uses or refers to the PyTorch layers from cdopt.utils_torch with orthogonally constrained weights, we strongly you to refer the following paper,

1. Hu X, Xiao N, Liu X, et al. A Constraint Dissolving Approach for Nonsmooth Optimization over the Stiefel Manifold[J]. arXiv preprint arXiv:2205.10500, 2022.

Here is the BibTex codes:

@article{xiao2022constraint,
  title={Constraint Dissolving Approaches for {R}iemannian Optimization},
  author={Xiao, Nachuan and Liu, Xin and Toh, Kim-Chuan},
  journal={arXiv preprint arXiv:2203.10319},
  year={2022}
}

@article{hu2022constraint,
  title={A Constraint Dissolving Approach for Nonsmooth Optimization over the {S}tiefel Manifold},
  author={Hu, Xiaoyin and Xiao, Nachuan and Liu, Xin and Toh, Kim-Chuan},
  journal={arXiv preprint arXiv:2205.10500},
  year={2022}
}