The p-AAA algorithm for data-driven modeling of parametric dynamical systems AC Rodriguez, L Balicki, S Gugercin SIAM Journal on Scientific Computing 45 (3), A1332-A1358, 2023 | 31 | 2023 |
The p-AAA algorithm for data driven modeling of parametric dynamical systems A Carracedo Rodriguez, L Balicki, S Gugercin arXiv e-prints, arXiv: 2003.06536, 2020 | 10 | 2020 |
Nonlinear balanced truncation: Part 1-Computing energy functions B Kramer, S Gugercin, J Borggaard, L Balicki arXiv e-prints, arXiv: 2209.07645, 2022 | 8 | 2022 |
Scalable computation of energy functions for nonlinear balanced truncation B Kramer, S Gugercin, J Borggaard, L Balicki Computer Methods in Applied Mechanics and Engineering 427, 117011, 2024 | 6 | 2024 |
System‐theoretic model order reduction with pyMOR L Balicki, P Mlinarić, S Rave, J Saak PAMM 19 (1), e201900459, 2019 | 3 | 2019 |
Low-Rank Alternating Direction Implicit Iteration in pyMOR L Balicki GAMM Archive for Students 2 (1), 1-13, 2020 | 2 | 2020 |
Eine abstrakte Implementierung der Low-Rank ADI Iteration für Lyapunovgleichungen in pyMOR L Balicki, J Saak Universitätsbibliothek Otto-von-Guericke-Universität, 2019 | 1 | 2019 |
Multivariate Rational Approximation via Low-Rank Tensors and the p-AAA Algorithm L Balicki, S Gugercin arXiv preprint arXiv:2502.03204, 2025 | | 2025 |
Energy-Based Approximation of Linear Systems with Polynomial Outputs L Balicki, S Gugercin arXiv preprint arXiv:2409.19730, 2024 | | 2024 |
pyMOR–Reduced Order Modeling with Python L Balicki, R Fritze, P Mlinaric, S Rave, J Saak, F Schindler | | |