| Are sketch-and-precondition least squares solvers numerically stable? M Meier, Y Nakatsukasa, A Townsend, M Webb SIAM Journal on Matrix Analysis and Applications 45 (2), 905-929, 2024 | 11 | 2024 |
| Randomized algorithms for Tikhonov regularization in linear least squares M Meier, Y Nakatsukasa arXiv preprint arXiv:2203.07329, 2022 | 7 | 2022 |
| Fast randomized numerical rank estimation M Meier, Y Nakatsukasa arXiv preprint arXiv:2105.07388, 2021 | 7 | 2021 |
| Fast randomized numerical rank estimation for numerically low-rank matrices M Meier, Y Nakatsukasa Linear Algebra and its Applications 686, 1-32, 2024 | 5 | 2024 |
| Fast randomized least-squares solvers can be just as accurate and stable as classical direct solvers EN Epperly, M Meier, Y Nakatsukasa arXiv e-prints, arXiv: 2406.03468, 2024 | 2 | 2024 |
Yuji NakatsukasaUniversity of OxfordE-mail confirmado em maths.ox.ac.uk
