A Semismooth Newton-based Augmented Lagrangian Algorithm for Density Matrix Least Squares Problems

Yong-Jin Liu, Jing Yu. A Semismooth Newton-based Augmented Lagrangian Algorithm for Density Matrix Least Squares Problems. J. Optimization Theory and Applications, 195(3):749-779, 2022. [doi]

@article{LiuY22-48,
  title = {A Semismooth Newton-based Augmented Lagrangian Algorithm for Density Matrix Least Squares Problems},
  author = {Yong-Jin Liu and Jing Yu},
  year = {2022},
  doi = {10.1007/s10957-022-02120-0},
  url = {https://doi.org/10.1007/s10957-022-02120-0},
  researchr = {https://researchr.org/publication/LiuY22-48},
  cites = {0},
  citedby = {0},
  journal = {J. Optimization Theory and Applications},
  volume = {195},
  number = {3},
  pages = {749-779},
}