Low-rank matrix recovery problem minimizing a new ratio of two norms approximating the rank function then using an ADMM-type solver with applications

Kaixin Gao, Zheng-Hai Huang, Lulu Guo. Low-rank matrix recovery problem minimizing a new ratio of two norms approximating the rank function then using an ADMM-type solver with applications. J. Computational Applied Mathematics, 438:115564, March 2024. [doi]

@article{GaoHG24,
  title = {Low-rank matrix recovery problem minimizing a new ratio of two norms approximating the rank function then using an ADMM-type solver with applications},
  author = {Kaixin Gao and Zheng-Hai Huang and Lulu Guo},
  year = {2024},
  month = {March},
  doi = {10.1016/j.cam.2023.115564},
  url = {https://doi.org/10.1016/j.cam.2023.115564},
  researchr = {https://researchr.org/publication/GaoHG24},
  cites = {0},
  citedby = {0},
  journal = {J. Computational Applied Mathematics},
  volume = {438},
  pages = {115564},
}