Publications of Jens Saak

Saak, J., Uddin, M. M., & Voigt, M. (2013)Modellordnungsreduktion für strukturierte Index-3-SystemeIn: Tagungsband des GMA-Fachausschusses 1.30 "Modellbildung, Identifikation und Simulation in der Automatisierungstechnik", 180–190.

Benner, P., Kranz, B., Saak, J., & Uddin, M. M. (2012)Efficient Reduced Order State Space Model Computation for a Class of Second Order Index One SystemsIn: Proceedings in Applied Mathematics and Mechanics, 699–700doi: 10.1002/pamm.201210338.

Benner, P., Kürschner, P., & Saak, J. (2012)Improved Second-Order Balanced Truncation for Symmetric SystemsIn: IFAC Proceedings Volumes, 758–762doi: 10.3182/20120215-3-AT-3016.00134.

Benner, P., Kürschner, P., & Saak, J. (2012)Avoiding Complex Arithmetic in the Low-Rank ADI Method EfficientlyIn: Proceedings in Applied Mathematics and Mechanics, 639–640doi: 10.1002/pamm.201210308.

Benner, P., Saak, J., & Uddin, M. M. (2012)Second Order to Second Order Balancing for Index-1 Vibrational SystemsIn: 7th International Conference on Electrical and Computer Engineering (ICECE), 933–936doi: 10.1109/ICECE.2012.6471704.

Mach, T. & Saak, J. (2012)How Competitive is the ADI for Tensor Structured Equations?In: Proceedings in Applied Mathematics and Mechanics, 635–636doi: 10.1002/pamm.201210306.

Saak, J., Benner, P., & Kürschner, P. (2012)A Goal-Oriented Dual LRCF-ADI for Balanced TruncationIn: IFAC Proceedings Volumes, 752–757doi: 10.3182/20120215-3-AT-3016.00133.

Bonin, T., Soppa, A., Saak, J., Zäh, M., Faßbender, H., & Benner, P. (2011)Moderne Modellordnungsreduktionsverfahren für Finite-Elemente-Modelle zur Simulation von WerkmaschinenIn: Fachtagung Mechatronik, 333–338.

Lang, N., Saak, J., & Stykel, T. (2015)Towards Practical Implementations of Balanced Truncation for LTV SystemsIn: IFAC-PapersOnLine, 7–8doi: 10.1016/j.ifacol.2015.05.135.

Uddin, M. M., Benner, P., & Saak, J.Efficient Methods for Reduced Order State Space Modeling of Piezo-Mechanical SystemsPresented at: GAMM Workshops 2012: Dynamics and ControlAnif/Salzburg, Austria, September 18, 2012.

Uddin, M. M., Saak, J., & Benner, P.Second Order to Second Order Balancing for Index-1 Vibrational SystemsPresented at: 7th International Conference on Electrical and Computer Engineering (ICECE)Dhaka, Bangladesh, December 20, 2012.

Christ, S., Fritzsch, B., Grossmann, Y. V., Kempf, D., Linxweiler, J., Löffler, F., Riedl, L., Thiele, J. P., Wagner, A. S., Zanon, L., Assmann, C., Brömmel, D., Caspart, R., Dogan, M., Fillinger, S., Frangenberg, J., Franke, M., Frey, A., Hagenberg, J., Haupt, C., Kushnarenko, V., Neuwirth, S., Ribizel, T., Saak, J., Schieberle, A., Schima-Voigt, K., Schmidt, P., Seibold, H., Speck, R., Vleugel, M., Wellmann, A., Wieder, P., & Wittke, S. (2025)Code for Science: Bessere Forschung durch bessere ForschungssoftwarekompetenzenZenododoi: 10.5281/zenodo.14273367.

Röbenack, K. & Saak, J. (2024)Ausgewählte Beiträge der GMA-Fachausschüsse 2.13 und 2.14at-Automatisierungstechnik, 72(8), 705–706doi: 10.1515/auto-2024-0085.

Röbenack, K. & Saak, J. (2024)Ausgewählte Beiträge der GMA-Fachausschüsse 2.13 und 2.14at-Automatisierungstechnik, 72(8), 705–706doi: 10.1515/auto-2024-0085.

Benner, P., Quintana-Ortì, E., & Saak, J. (2021)Introduction to the Special Issue related to the Power Aware Computing Workshop 2019 — PACO 2019International Journal of High Performance Computing Applications, 35(3), 209–210doi: 10.1177/10943420211008791.

Ezzatti, P., Quintana-Ortí, E. S., Remón , A., & Saak, J. (2019)Power‐Aware Computing (PACO 2017): Special IssueConcurrency and Computation, 31(6), 1–3doi: 10.1002/cpe.5034.

Grepl, M., Lohmann, B., & Saak, J. (2016)IntroductionMathematical and Computer Modelling of Dynamical Systems, 22(4), 265–266doi: 10.1080/13873954.2016.1198390.

Zhou, B., Chu, D., Saak, J., & Xiao, M. Q. (2016)Matrix Equations with Application to Control TheoryJournal of the Franklin Institute, 353(5), 971–973doi: 10.1016/j.jfranklin.2016.01.011.

Baran, B., Benner, P., Saak, J., & Stillfjord, T. (in press)Numerical Methods for Closed-Loop Systems with Non-Autonomous Data.

Naumann, C., Kumar, T. S., Vettermann, J., Geist, A., Saak, J., Benner, P., & Ihlenfeldt, S. (2024)Training of Artificial Neural Networks with Reduced-Order Models for the Prediction of Thermal Errors on Machine ToolsResearch Squaredoi: 10.21203/rs.3.rs-4744195/v1.