On the Unreasonable Effectiveness of Single Vector Krylov Methods for Low-Rank Approximation

Raphael A. Meyer, Cameron Musco, Christopher Musco. On the Unreasonable Effectiveness of Single Vector Krylov Methods for Low-Rank Approximation. In David P. Woodruff, editor, Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, SODA 2024, Alexandria, VA, USA, January 7-10, 2024. pages 811-845, SIAM, 2024. [doi]

@inproceedings{MeyerMM24,
  title = {On the Unreasonable Effectiveness of Single Vector Krylov Methods for Low-Rank Approximation},
  author = {Raphael A. Meyer and Cameron Musco and Christopher Musco},
  year = {2024},
  doi = {10.1137/1.9781611977912.32},
  url = {https://doi.org/10.1137/1.9781611977912.32},
  researchr = {https://researchr.org/publication/MeyerMM24},
  cites = {0},
  citedby = {0},
  pages = {811-845},
  booktitle = {Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, SODA 2024, Alexandria, VA, USA, January 7-10, 2024},
  editor = {David P. Woodruff},
  publisher = {SIAM},
  isbn = {978-1-61197-791-2},
}