Publications
2026
Randomized Jacobi-Davidson method
L. Grigori, T. Park and I. Simunec. Preprint.
arXivIterativeCUR: Large Rank-Adaptive Approximation From a Small Recycled Sketch
N. Pritchard, T. Park, Y. Nakatsukasa and P.-G. Martinsson.
SIAM Journal on Scientific Computing, to appear.
arXivSuperPCA: subspace analysis and an efficient algorithm for high-dimensional PCA
I. Haas, M. Meier, Y. Nakatsukasa and T. Park.
Preprint.
arXivRandomized Block Davidson Eigensolvers for Plane-Wave Density-Functional Theory
M. Gubler, T. Park, A. Bussy, J. Laute, N. Marzari, I. Timrov and L. Grigori.
Preprint.
arXivNystrom method for symmetric indefinite matrices
Y. Chen, Y. Nakatsukasa, A. Narendran and T. Park.
Preprint.
arXivFast, High-Accuracy, Randomized Nullspace Computations for Tall Matrices
E. N. Epperly, T. Park and Y. Nakatsukasa.
Preprint.
arXivApproximating Sparse Matrices and their Functions using Matrix-vector Products
T. Park and Y. Nakatsukasa.
Applied and Computational Harmonic Analysis, 83, 101869.
DOI · arXiv
2025
Numerical Stability of the Nyström Method
A. Bucci, Y. Nakatsukasa and T. Park.
Preprint.
arXivLow-rank Approximation of Parameter-dependent Matrices via CUR Decomposition
T. Park and Y. Nakatsukasa.
SIAM Journal on Scientific Computing, 47(3), A1858–A1887.
DOI · arXivAccuracy and Stability of CUR Decompositions with Oversampling
T. Park and Y. Nakatsukasa.
SIAM Journal on Matrix Analysis and Applications, 46(1), 780–810.
DOI · arXiv
2023
Randomized Low-Rank Approximation for Symmetric Indefinite Matrices
Y. Nakatsukasa and T. Park.
SIAM Journal on Matrix Analysis and Applications, 44(3), 1370–1392.
DOI · arXivA Fast Randomized Algorithm for Computing an Approximate Null Space
T. Park and Y. Nakatsukasa.
BIT Numerical Mathematics, 63, 36.
DOI · arXiv
PhD Dissertation
- On the Accuracy and Robustness of Randomised Methods for Matrix Computations DPhil thesis, University of Oxford, 2025.
Oxford Research Archive