Towards Practical Large-scale Randomized Iterative Least Squares Solvers through Uncertainty Quantification
Pritchard, N
Patel, V
(09 Aug 2022)
https://arxiv.org/abs/2208.04989v3
Scientific Applications Leveraging Randomized Linear Algebra
Patel, V
Maldonado, D
Melnichenko, M
Pritchard, N
Rao, V
Rebrova, E
Sankararaman, S
Schweitzer, M
(19 Jun 2025)
https://arxiv.org/abs/2506.16457v2
IterativeCUR: Large Rank-Adaptive Approximation From a Small Recycled Sketch
Pritchard, N
Park, T
Nakatsukasa, Y
Martinsson, P
(26 Sep 2025)
https://arxiv.org/abs/2509.21963v2
Efficient error estimators for Generalized Nyström
Lazzarino, L
Pearce, K
Pritchard, N
(16 Jan 2026)
https://arxiv.org/abs/2601.11493v1
Blind error estimation for CUR approximation
Lazzarino, L
Pearce, K
Pritchard, N
(20 Sep 2026)
https://arxiv.org/abs/2609.23810v1
Solving, Tracking and Stopping Streaming Linear Inverse Problems
Pritchard, N
Patel, V
(15 Jan 2022)
https://arxiv.org/abs/2201.05741v3
Monte Carlo stochastic Galerkin methods for non-Maxwellian kinetic models of multiagent systems with uncertainties
Medaglia, A
Tosin, A
Zanella, M
(31 Jan 2022)
https://arxiv.org/abs/2202.00062v2
Stochastic Galerkin particle methods for kinetic equations of plasmas with uncertainties
Medaglia, A
Pareschi, L
Zanella, M
(01 Aug 2022)
https://arxiv.org/abs/2208.00692v2
On the optimal control of kinetic epidemic models with uncertain social features
Franceschi, J
Medaglia, A
Zanella, M
(17 Oct 2022)
https://arxiv.org/abs/2210.09201v3
Uncertainty quantification for charge transport in GNRs through particle Galerkin methods for the semiclassical Boltzmann equation
Medaglia, A
Nastasi, G
Romano, V
Zanella, M
(30 Apr 2024)
https://arxiv.org/abs/2404.19602v2