- Stanislav S. Budzinskiy. Entrywise Tensor-Train Approximation of Large Tensors via Random Embeddings. SIAM J. Matrix Analysis Applications, 46(2):984-1005, 2025.
- David Persson, Raphael A. Meyer, Christopher Musco. Algorithm-Agnostic Low-Rank Approximation of Operator Monotone Matrix Functions. SIAM J. Matrix Analysis Applications, 46(1):1-21, 2025.
- Matthew J. Colbrook, Alex Townsend. Avoiding Discretization Issues for Nonlinear Eigenvalue Problems. SIAM J. Matrix Analysis Applications, 46(1):648-675, 2025.
- Kyle Gilman, Samuel Burer, Laura Balzano. A Semidefinite Relaxation for Sums of Heterogeneous Quadratic Forms on the Stiefel Manifold. SIAM J. Matrix Analysis Applications, 46(2):1091-1116, 2025.
- Maksim Melnichenko, Oleg Balabanov, Riley Murray, James Demmel, Michael W. Mahoney, Piotr Luszczek. CholeskyQR with Randomization and Pivoting for Tall Matrices (CQRRPT). SIAM J. Matrix Analysis Applications, 46(3):1701-1734, 2025.
- Xiaobo Liu. Mixed-Precision Paterson-Stockmeyer Method for Evaluating Polynomials of Matrices. SIAM J. Matrix Analysis Applications, 46(1):811-835, 2025.
- Ralf Zimmermann 0002, Jakob Stoye. High Curvature Means Low Rank: On the Sectional Curvature of Grassmann and Stiefel Manifolds and the Underlying Matrix Trace Inequalities. SIAM J. Matrix Analysis Applications, 46(1):748-779, 2025.
- Younghyun Cho, James Demmel, Michal Derezinski, Haoyun Li, Hengrui Luo, Michael W. Mahoney, Riley Murray. Surrogate-Based Autotuning for Randomized Sketching Algorithms in Regression Problems. SIAM J. Matrix Analysis Applications, 46(2):1247-1279, 2025.
- Zhongxiao Jia, Qingqing Zheng. An Analysis of the Rayleigh-Ritz and Refined Rayleigh-Ritz Methods for Regular Nonlinear Eigenvalue Problems. SIAM J. Matrix Analysis Applications, 46(1):676-701, 2025.
- Abraham Khan, Arvind K. Saibaba. Parametric Kernel Low-Rank Approximations Using Tensor Train Decomposition. SIAM J. Matrix Analysis Applications, 46(2):1006-1036, 2025.