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Jens Saak
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2020 – today
- 2024
- [j25]Klaus Röbenack, Jens Saak:
Ausgewählte Beiträge der GMA-Fachausschüsse 2.13 und 2.14. Autom. 72(8): 705-706 (2024) - [i14]Jens Saak, Steffen W. R. Werner:
Using LDLT factorizations in Newton's method for solving general large-scale algebraic Riccati equations. CoRR abs/2402.06844 (2024) - [i13]B. Baran, Peter Benner, Jens Saak, Tony Stillfjord:
Numerical methods for closed-loop systems with non-autonomous data. CoRR abs/2402.13656 (2024) - [i12]Jonas Schulze, Jens Saak:
An extension of the low-rank Lyapunov ADI to non-zero initial values and its applications. CoRR abs/2406.13477 (2024) - 2023
- [j24]Peter Benner, Davide Palitta, Jens Saak:
On an integrated Krylov-ADI solver for large-scale Lyapunov equations. Numer. Algorithms 92(1): 35-63 (2023) - [d11]Peter Benner, Jens Saak, Steffen W. R. Werner:
MORLAB - Model Order Reduction LABoratory. Version 6.0. Zenodo, 2023 [all versions] - [d10]Kathryn Lund, Jens Saak, Peter Benner:
mini-MORB (Model Order Reduction Benchmarker). Zenodo, 2023 - [d9]Jens Saak, Martin Köhler, Peter Benner:
M-M.E.S.S. - The Matrix Equation Sparse Solver Library. Version 3.0. Zenodo, 2023 [all versions] - [i11]Peter Benner, Kathryn Lund, Jens Saak:
Towards a Benchmark Framework for Model Order Reduction in the Mathematical Research Data Initiative (MaRDI). CoRR abs/2307.00137 (2023) - [i10]Jens Saak, Jonas Schulze:
Diagonally-Addressed Matrix Nicknack: How to improve SpMV performance. CoRR abs/2307.06305 (2023) - [i9]Davide Palitta, Zoran Tomljanovic, Ivica Nakic, Jens Saak:
Efficient solution of sequences of parametrized Lyapunov equations with applications. CoRR abs/2312.08201 (2023) - 2022
- [j23]Julia Vettermann, Alexander Steinert, Christian Brecher, Peter Benner, Jens Saak:
Compact thermo-mechanical models for the fast simulation of machine tools with nonlinear component behavior. Autom. 70(8): 692-704 (2022) - [j22]Manuela Hund, Tim Mitchell, Petar Mlinaric, Jens Saak:
Optimization-based Parametric Model Order Reduction via ${{\mathcal{H}_2} \otimes {\mathcal{L}_2}}$ First-order Necessary Conditions. SIAM J. Sci. Comput. 44(3): 1554- (2022) - [d8]Jens Saak, Martin Köhler, Peter Benner:
M-M.E.S.S. - The Matrix Equation Sparse Solver Library. Version 2.2. Zenodo, 2022 [all versions] - [i8]Peter Benner, Davide Palitta, Jens Saak:
Krylov techniques for low-rank ADI. CoRR abs/2203.17174 (2022) - [i7]Björn Baran, Peter Benner, Jens Saak:
Riccati-feedback Control of a Two-dimensional Two-phase Stefan Problem. CoRR abs/2209.05476 (2022) - 2021
- [j21]Peter Benner, Enrique S. Quintana-Ortí, Jens Saak:
Introduction to the Special Issue related to the Power-Aware Computing Workshop 2019 - PACO 2019. Int. J. High Perform. Comput. Appl. 35(3) (2021) - [d7]Jens Saak, Martin Köhler, Peter Benner:
M-M.E.S.S. - The Matrix Equation Sparse Solver Library. Version 2.1. Zenodo, 2021 [all versions] - [i6]Manuela Hund, Tim Mitchell, Petar Mlinaric, Jens Saak:
Optimization-based parametric model order reduction via H2⊗L2 first-order necessary conditions. CoRR abs/2103.03136 (2021) - 2020
- [j20]Peter Benner, Zvonimir Bujanovic, Patrick Kürschner, Jens Saak:
A Numerical Comparison of Different Solvers for Large-Scale, Continuous-Time Algebraic Riccati Equations and LQR Problems. SIAM J. Sci. Comput. 42(2): A957-A996 (2020) - [d6]Jens Saak, Martin Köhler, Peter Benner:
M-M.E.S.S. - The Matrix Equation Sparse Solver Library. Version 2.0.1. Zenodo, 2020 [all versions] - [d5]Jens Saak, Patrick Kürschner, Zvonimir Bujanovic, Peter Benner:
Collected MATLAB solvers for large-scale AREs. Zenodo, 2020 - [i5]Stephan Rave, Jens Saak:
An Instationary Thermal-Block Benchmark Model for Parametric Model Order Reduction. CoRR abs/2003.00846 (2020) - [i4]Peter Benner, Martin Köhler, Jens Saak:
Matrix Equations, Sparse Solvers: M-M.E.S.S.-2.0.1 - Philosophy, Features and Application for (Parametric) Model. CoRR abs/2003.02088 (2020) - [i3]Petar Mlinaric, Stephan Rave, Jens Saak:
Parametric model order reduction using pyMOR. CoRR abs/2003.05825 (2020)
2010 – 2019
- 2019
- [j19]Jens Saak, Dirk Siebelts, Steffen W. R. Werner:
A comparison of second-order model order reduction methods for an artificial fishtail. Autom. 67(8): 648-667 (2019) - [j18]Peter Benner, Ernesto Dufrechou, Pablo Ezzatti, Alfredo Remón, Jens Saak:
A GPU-aware mixed-precision solver for low-rank algebraic Riccati equations. Concurr. Comput. Pract. Exp. 31(6) (2019) - [j17]Pablo Ezzatti, Enrique S. Quintana-Ortí, Alfredo Remón, Jens Saak:
Power-aware computing. Concurr. Comput. Pract. Exp. 31(6) (2019) - [j16]Martin Köhler, Jens Saak:
Frequency scaling and energy efficiency regarding the Gauss-Jordan elimination scheme with application to the matrix-sign-function on OpenPOWER 8. Concurr. Comput. Pract. Exp. 31(6) (2019) - [d4]Jens Saak, Martin Köhler, Peter Benner:
M-M.E.S.S. - The Matrix Equation Sparse Solver Library. Version 2.0. Zenodo, 2019 [all versions] - [i2]Jörg Fehr, Christian Himpe, Stephan Rave, Jens Saak:
Sustainable Research Software Hand-Over. CoRR abs/1909.09469 (2019) - 2018
- [j15]Peter Benner, Zvonimir Bujanovic, Patrick Kürschner, Jens Saak:
RADI: a low-rank ADI-type algorithm for large scale algebraic Riccati equations. Numerische Mathematik 138(2): 301-330 (2018) - [d3]Peter Benner, Martin Köhler, Jens Saak:
C-M.E.S.S.-1.0.0 - The Matrix Equation Sparse Solver Library (C Version). Zenodo, 2018 - 2016
- [j14]Martin Köhler, Carolin Penke, Jens Saak, Pablo Ezzatti:
Energy-aware solution of linear systems with many right hand sides. Comput. Sci. Res. Dev. 31(4): 215-223 (2016) - [j13]Bin Zhou, Delin Chu, Jens Saak, MingQing Xiao:
Matrix equations with application to control theory. J. Frankl. Inst. 353(5): 971-973 (2016) - [j12]Peter Benner, Patrick Kürschner, Jens Saak:
Low-rank Newton-ADI methods for large nonsymmetric algebraic Riccati equations. J. Frankl. Inst. 353(5): 1147-1167 (2016) - [j11]Hartwig Anzt, Edmond Chow, Jens Saak, Jack J. Dongarra:
Updating incomplete factorization preconditioners for model order reduction. Numer. Algorithms 73(3): 611-630 (2016) - [j10]Martin Köhler, Jens Saak:
On GPU acceleration of common solvers for (quasi-) triangular generalized Lyapunov equations. Parallel Comput. 57: 212-221 (2016) - [j9]Peter Benner, Patrick Kürschner, Jens Saak:
Frequency-Limited Balanced Truncation with Low-Rank Approximations. SIAM J. Sci. Comput. 38(1) (2016) - [j8]Martin Köhler, Jens Saak:
On BLAS Level-3 Implementations of Common Solvers for (Quasi-) Triangular Generalized Lyapunov Equations. ACM Trans. Math. Softw. 43(1): 3:1-3:23 (2016) - [d2]Jens Saak, Martin Köhler, Peter Benner:
M-M.E.S.S.-1.0 - The Matrix Equation Sparse Solver Library. Zenodo, 2016 - [i1]Jörg Fehr, Jan Heiland, Christian Himpe, Jens Saak:
Best Practices for Replicability, Reproducibility and Reusability of Computer-Based Experiments Exemplified by Model Reduction Software. CoRR abs/1607.01191 (2016) - 2015
- [j7]Norman Lang, Jens Saak, Peter Benner, Steffen Ihlenfeldt, Steffen Nestmann, Klaus Schädlich:
Towards the identification of heat induction in chip removing processes via an optimal control approach. Prod. Eng. 9(3): 343-349 (2015) - [j6]Eberhard Bänsch, Peter Benner, Jens Saak, Heiko K. Weichelt:
Riccati-based Boundary Feedback Stabilization of Incompressible Navier-Stokes Flows. SIAM J. Sci. Comput. 37(2) (2015) - [d1]Jens Saak, Peter Benner, Heiko K. Weichelt, Eberhard Bänsch:
A linearized Navier-Stokes input output model. Zenodo, 2015 - 2014
- [j5]Norman Lang, Jens Saak, Peter Benner:
Model Order Reduction for Systems with Moving Loads. Autom. 62(7): 512-522 (2014) - [j4]Peter Benner, Jens Saak, Friedhelm Schieweck, Piotr Skrzypacz, Heiko K. Weichelt:
A non-conforming composite quadrilateral finite element pair for feedback stabilization of the Stokes equations. J. Num. Math. 22(3): 191-220 (2014) - 2013
- [j3]Peter Benner, Patrick Kürschner, Jens Saak:
Efficient handling of complex shift parameters in the low-rank Cholesky factor ADI method. Numer. Algorithms 62(2): 225-251 (2013) - [j2]Peter Benner, Jens Saak, Martin Stoll, Heiko K. Weichelt:
Efficient Solution of Large-Scale Saddle Point Systems Arising in Riccati-Based Boundary Feedback Stabilization of Incompressible Stokes Flow. SIAM J. Sci. Comput. 35(5) (2013) - [c4]Peter Benner, Jens Saak, Martin Stoll, Heiko K. Weichelt:
Efficient Solvers for Large-Scale Saddle Point Systems Arising in Feedback Stabilization of Multi-field Flow Problems. System Modelling and Optimization 2013: 11-20 - [c3]Peter Benner, Martin Köhler, Jens Saak:
Fast Approximate Solution of the Non-Symmetric Generalized Eigenvalue Problem on Multicore Architectures. PARCO 2013: 143-152 - 2012
- [j1]Mohammad Monir Uddin, Jens Saak, Burkhard Kranz, Peter Benner:
Computation of a compact state space model for an adaptive spindle head configuration with piezo actuators using balanced truncation. Prod. Eng. 6(6): 577-586 (2012) - [c2]Martin Köhler, Jens Saak:
A Shared Memory Parallel Implementation of the IRKA Algorithm for $\mathcal{H}_2$ Model Order Reduction - (Extended Abstract). PARA 2012: 541-544
2000 – 2009
- 2005
- [c1]José M. Badía, Peter Benner, Rafael Mayo, Enrique S. Quintana-Ortí, Gregorio Quintana-Ortí, Jens Saak:
Parallel Order Reduction via Balanced Truncation for Optimal Cooling of Steel Profiles. Euro-Par 2005: 857-866
Coauthor Index
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