An efficient semi-proximal ADMM algorithm for low-rank and sparse regularized matrix minimization problems with real-world applications

Wentao Qu, Xianchao Xiu, Haifei Zhang, Jun Fan. An efficient semi-proximal ADMM algorithm for low-rank and sparse regularized matrix minimization problems with real-world applications. J. Computational Applied Mathematics, 424:115007, May 2023. [doi]

@article{QuXZF23,
  title = {An efficient semi-proximal ADMM algorithm for low-rank and sparse regularized matrix minimization problems with real-world applications},
  author = {Wentao Qu and Xianchao Xiu and Haifei Zhang and Jun Fan},
  year = {2023},
  month = {May},
  doi = {10.1016/j.cam.2022.115007},
  url = {https://doi.org/10.1016/j.cam.2022.115007},
  researchr = {https://researchr.org/publication/QuXZF23},
  cites = {0},
  citedby = {0},
  journal = {J. Computational Applied Mathematics},
  volume = {424},
  pages = {115007},
}