| Truncated low‐rank methods for solving general linear matrix equations D Kressner, P Sirković Numerical Linear Algebra with Applications 22 (3), 564-583, 2015 | 43* | 2015 |
| Subspace acceleration for large-scale parameter-dependent Hermitian eigenproblems P Sirkovic, D Kressner SIAM Journal on Matrix Analysis and Applications 37 (2), 695-718, 2016 | 38 | 2016 |
| Low-rank methods for parameter-dependent eigenvalue problems and matrix equations P Sirkovic EPFL, 2016 | 7 | 2016 |
| Towards an AI co-scientist J Gottweis, WH Weng, A Daryin, T Tu, A Palepu, P Sirkovic, A Myaskovsky, ... arXiv preprint arXiv:2502.18864, 2025 | 6 | 2025 |
| A reduced basis approach to large‐scale pseudospectra computation P Sirković Numerical Linear Algebra with Applications 26 (2), e2222, 2019 | 3 | 2019 |
| A low-rank Reduced Basis Method for Parameter-Dependent Lyapunov Equations D Kressner, P Sirkovic, NT Son, T Stykel 21st International Symposium on Mathematical Theory of Networks and Systems …, 2014 | 2 | 2014 |
| MATHICSE Technical Report: A reduced basis approach to large-scale pseudospectra computation P Sirkovic MATHICSE, 2016 | | 2016 |
| MATHICSE Technical Report: Subspace acceleration for large-scale parameter-dependent Hermitian eigenproblems P Sirkovic, D Kressner MATHICSE, 2015 | | 2015 |
| Brain volume reconstruction-parallel implementation of unimodal registration P Sirkovic JSC Guest Student Programme, 129, 2011 | | 2011 |
| Accelerating mirror methods for large-scale eigenvalue optimization problems F Mazzurco, M Baes, D Kressner, P Sirkovic | | |
Daniel KressnerEPFLPatvirtintas el. paštas epfl.ch
