Block Krylov subspace methods for functions of matrices A Frommer, K Lund, DB Szyld Electronic Transactions on Numerical Analysis 47, 100-126, 2017 | 69 | 2017 |
The tensor t-function: a definition for functions of third-order tensors K Lund Numerical Linear Algebra with Applications 27 (3), e2288, 2020 | 59 | 2020 |
Block Gram-Schmidt algorithms and their stability properties E Carson, K Lund, M Rozložník, S Thomas Linear Algebra and its Applications 638, 150-195, 2022 | 37* | 2022 |
Block Krylov subspace methods for functions of matrices II: Modified block FOM A Frommer, K Lund, DB Szyld SIAM Journal on Matrix Analysis and Applications 41 (2), 804--837, 2020 | 28 | 2020 |
The stability of block variants of classical Gram-Schmidt E Carson, K Lund, M Rozložník SIAM Journal on Matrix Analysis and Applications 42 (3), 1365–1380, 2021 | 20 | 2021 |
Limited-memory polynomial methods for large-scale matrix functions S Güttel, D Kressner, K Lund GAMM - Mitteilungen 43, e202000019, 2020 | 19 | 2020 |
A new block Krylov subspace framework with applications to functions of matrices acting on multiple vectors K Lund Temple University and Bergische Universität Wuppertal, 2018 | 15 | 2018 |
The Radau--Lanczos Method for Matrix Functions A Frommer, K Lund, M Schweitzer, DB Szyld SIAM Journal on Matrix Analysis and Applications 38 (3), 710-732, 2017 | 15 | 2017 |
Compress-and-restart block Krylov subspace methods for Sylvester matrix equations D Kressner, K Lund, S Massei, D Palitta Numerical Linear Algebra with Applications, e2339, 2020 | 6 | 2020 |
Adaptively restarted block Krylov subspace methods with low-synchronization skeletons K Lund Numerical Algorithms 93, 731--764, 2023 | 4 | 2023 |
Towards a benchmark framework for model order reduction in the Mathematical Research Data Initiative (MaRDI) P Benner, K Lund, J Saak PAMM 23 (3), e202300147, 2023 | 3 | 2023 |
Rolling stock rotation optimization in days of strike: An automated approach for creating an alternative timetable S Ahmadi, SF Gritzbach, K Lund, D McCullough-Amal | 2 | 2015 |
Reorthogonalized Pythagorean variants of block classical Gram-Schmidt E Carson, K Lund, Y Ma, E Oktay arXiv preprint arXiv:2405.01298, 2024 | 1 | 2024 |
Challenges in computing matrix functions M Fasi, S Gaudreault, K Lund, M Schweitzer arXiv preprint arXiv:2401.16132, 2024 | 1 | 2024 |
The Fréchet derivative of the tensor t-function K Lund, M Schweitzer Calcolo 60 (35), 2023 | 1 | 2023 |
Low-rank-modified Galerkin methods for the Lyapunov equation K Lund, D Palitta Electronic Transactions on Numerical Analysis 62, 1--21, 2024 | | 2024 |