Parallel Order Reduction via Balanced Truncation for Optimal Cooling of Steel Profiles. - José M. Badía; Peter Benner; Rafael Mayo 002; Enrique S. Quintana-Ortí; Gregorio Quintana-Ortí; Jens Saak (Euro-Par, 2005)

A Shared Memory Parallel Implementation of the IRKA Algorithm for $ mathcal{H}_2$ Model Order Reduction - (Extended Abstract). - Martin Köhler; Jens Saak (PARA, 2012)

Computation of a compact state space model for an adaptive spindle head configuration with piezo actuators using balanced truncation. - Mohammad Monir Uddin; Jens Saak; Burkhard Kranz; Peter Benner (Prod. Eng., 2012)

Efficient Solvers for Large-Scale Saddle Point Systems Arising in Feedback Stabilization of Multi-field Flow Problems. - Peter Benner; Jens Saak; Martin Stoll; Heiko K. Weichelt (System Modelling and Optimization, 2013)

Fast Approximate Solution of the Non-Symmetric Generalized Eigenvalue Problem on Multicore Architectures. - Peter Benner; Martin Köhler; Jens Saak (PARCO, 2013)

Efficient handling of complex shift parameters in the low-rank Cholesky factor ADI method. - Peter Benner; Patrick Kürschner; Jens Saak (Numer. Algorithms, 2013)

Efficient Solution of Large-Scale Saddle Point Systems Arising in Riccati-Based Boundary Feedback Stabilization of Incompressible Stokes Flow. - Peter Benner; Jens Saak; Martin Stoll; Heiko K. Weichelt (SIAM J. Sci. Comput., 2013)

Model Order Reduction for Systems with Moving Loads. - Norman Lang; Jens Saak; Peter Benner (Autom., 2014)

A non-conforming composite quadrilateral finite element pair for feedback stabilization of the Stokes equations. - Peter Benner; Jens Saak; Friedhelm Schieweck; Piotr Skrzypacz; Heiko K. Weichelt (J. Num. Math., 2014)

Towards the identification of heat induction in chip removing processes via an optimal control approach. - Norman Lang; Jens Saak; Peter Benner; Steffen Ihlenfeldt; Steffen Nestmann; Klaus Schädlich (Prod. Eng., 2015)

Riccati-based Boundary Feedback Stabilization of Incompressible Navier-Stokes Flows. - Eberhard Bänsch; Peter Benner; Jens Saak; Heiko K. Weichelt (SIAM J. Sci. Comput., 2015)

A linearized Navier-Stokes input output model. - Jens Saak; Peter Benner; Heiko K. Weichelt; Eberhard Bänsch (Zenodo, 2015)

Best Practices for Replicability, Reproducibility and Reusability of Computer-Based Experiments Exemplified by Model Reduction Software. - Jörg Fehr; Jan Heiland; Christian Himpe; Jens Saak (CoRR, 2016)

Energy-aware solution of linear systems with many right hand sides. - Martin Köhler; Carolin Penke; Jens Saak; Pablo Ezzatti (Comput. Sci. Res. Dev., 2016)

Low-rank Newton-ADI methods for large nonsymmetric algebraic Riccati equations. - Peter Benner; Patrick Kürschner; Jens Saak (J. Frankl. Inst., 2016)

Matrix equations with application to control theory. - Bin Zhou 001; Delin Chu; Jens Saak; MingQing Xiao 001 (J. Frankl. Inst., 2016)

Updating incomplete factorization preconditioners for model order reduction. - Hartwig Anzt; Edmond Chow; Jens Saak; Jack J. Dongarra (Numer. Algorithms, 2016)

On GPU acceleration of common solvers for (quasi-) triangular generalized Lyapunov equations. - Martin Köhler; Jens Saak (Parallel Comput., 2016)

Frequency-Limited Balanced Truncation with Low-Rank Approximations. - Peter Benner; Patrick Kürschner; Jens Saak (SIAM J. Sci. Comput., 2016)

On BLAS Level-3 Implementations of Common Solvers for (Quasi-) Triangular Generalized Lyapunov Equations. - Martin Köhler; Jens Saak (ACM Trans. Math. Softw., 2016)

M-M.E.S.S.-1.0 - The Matrix Equation Sparse Solver Library. - Jens Saak; Martin Köhler; Peter Benner (Zenodo, 2016)

RADI: a low-rank ADI-type algorithm for large scale algebraic Riccati equations. - Peter Benner; Zvonimir Bujanovic; Patrick Kürschner; Jens Saak (Numerische Mathematik, 2018)

C-M.E.S.S.-1.0.0 - The Matrix Equation Sparse Solver Library (C Version). - Peter Benner; Martin Köhler; Jens Saak (Zenodo, 2018)

A comparison of second-order model order reduction methods for an artificial fishtail. - Jens Saak; Dirk Siebelts; Steffen W. R. Werner (Autom., 2019)

A GPU-aware mixed-precision solver for low-rank algebraic Riccati equations. - Peter Benner; Ernesto Dufrechou; Pablo Ezzatti; Alfredo Remón; Jens Saak (Concurr. Comput. Pract. Exp., 2019)

Power-aware computing. - Pablo Ezzatti; Enrique S. Quintana-Ortí; Alfredo Remón; Jens Saak (Concurr. Comput. Pract. Exp., 2019)

Frequency scaling and energy efficiency regarding the Gauss-Jordan elimination scheme with application to the matrix-sign-function on OpenPOWER 8. - Martin Köhler; Jens Saak (Concurr. Comput. Pract. Exp., 2019)

Sustainable Research Software Hand-Over. - Jörg Fehr; Christian Himpe; Stephan Rave; Jens Saak (CoRR, 2019)

M-M.E.S.S. - The Matrix Equation Sparse Solver Library. - Jens Saak; Martin Köhler; Peter Benner (Zenodo, 2019)

An Instationary Thermal-Block Benchmark Model for Parametric Model Order Reduction. - Stephan Rave; Jens Saak (CoRR, 2020)

Matrix Equations, Sparse Solvers: M-M.E.S.S.-2.0.1 - Philosophy, Features and Application for (Parametric) Model. - Peter Benner; Martin Köhler; Jens Saak (CoRR, 2020)

Parametric model order reduction using pyMOR. - Petar Mlinaric; Stephan Rave; Jens Saak (CoRR, 2020)

A Numerical Comparison of Different Solvers for Large-Scale, Continuous-Time Algebraic Riccati Equations and LQR Problems. - Peter Benner; Zvonimir Bujanovic; Patrick Kürschner; Jens Saak (SIAM J. Sci. Comput., 2020)

M-M.E.S.S. - The Matrix Equation Sparse Solver Library. - Jens Saak; Martin Köhler; Peter Benner (Zenodo, 2020)

Collected MATLAB solvers for large-scale AREs. - Jens Saak; Patrick Kürschner; Zvonimir Bujanovic; Peter Benner (Zenodo, 2020)

Optimization-based parametric model order reduction via H2⊗L2 first-order necessary conditions. - Manuela Hund; Tim Mitchell; Petar Mlinaric; Jens Saak (CoRR, 2021)

Introduction to the Special Issue related to the Power-Aware Computing Workshop 2019 - PACO 2019. - Peter Benner; Enrique S. Quintana-Ortí; Jens Saak (Int. J. High Perform. Comput. Appl., 2021)

M-M.E.S.S. - The Matrix Equation Sparse Solver Library. - Jens Saak; Martin Köhler; Peter Benner (Zenodo, 2021)

Compact thermo-mechanical models for the fast simulation of machine tools with nonlinear component behavior. - Julia Vettermann; Alexander Steinert; Christian Brecher; Peter Benner; Jens Saak (Autom., 2022)

Krylov techniques for low-rank ADI. - Peter Benner; Davide Palitta; Jens Saak (CoRR, 2022)

Riccati-feedback Control of a Two-dimensional Two-phase Stefan Problem. - Björn Baran; Peter Benner; Jens Saak (CoRR, 2022)

Optimization-based Parametric Model Order Reduction via ${{ mathcal{H}_2} otimes { mathcal{L}_2}}$ First-order Necessary Conditions. - Manuela Hund; Tim Mitchell; Petar Mlinaric; Jens Saak (SIAM J. Sci. Comput., 2022)

M-M.E.S.S. - The Matrix Equation Sparse Solver Library. - Jens Saak; Martin Köhler; Peter Benner (Zenodo, 2022)

Towards a Benchmark Framework for Model Order Reduction in the Mathematical Research Data Initiative (MaRDI). - Peter Benner; Kathryn Lund; Jens Saak (CoRR, 2023)

Diagonally-Addressed Matrix Nicknack: How to improve SpMV performance. - Jens Saak; Jonas Schulze (CoRR, 2023)

On an integrated Krylov-ADI solver for large-scale Lyapunov equations. - Peter Benner; Davide Palitta; Jens Saak (Numer. Algorithms, 2023)

M-M.E.S.S. - The Matrix Equation Sparse Solver Library. - Jens Saak; Martin Köhler; Peter Benner (Zenodo, 2023)

mini-MORB (Model Order Reduction Benchmarker). - Kathryn Lund; Jens Saak; Peter Benner (Zenodo, 2023)

MORLAB - Model Order Reduction LABoratory. - Peter Benner; Jens Saak; Steffen W. R. Werner (Zenodo, 2023)

Using LDLT factorizations in Newton's method for solving general large-scale algebraic Riccati equations. - Jens Saak; Steffen W. R. Werner (CoRR, 2024)

Numerical methods for closed-loop systems with non-autonomous data. - B. Baran; Peter Benner; Jens Saak; Tony Stillfjord (CoRR, 2024)

An extension of the low-rank Lyapunov ADI to non-zero initial values and its applications. - Jonas Schulze; Jens Saak (CoRR, 2024)

Ausgewählte Beiträge der GMA-Fachausschüsse 2.13 und 2.14. - Klaus Röbenack; Jens Saak (Autom., 2024)

Code and data for "Generalizing Reduced Rank Extrapolation to Low-Rank Matrix Sequences". - Pascal den Boef; Patrick Kürschner; Xiaobo Liu; Joseph M. Maubach; Jens Saak; Wil H. A. Schilders; Jonas Schulze; Nathan van de Wouw (Zenodo, 2025)

M-M.E.S.S. - The Matrix Equation Sparse Solver Library. - Jens Saak; Martin Köhler; Peter Benner (Zenodo, 2025)

Generalizing Reduced Rank Extrapolation to Low-Rank Matrix Sequences. - Pascal den Boef; Patrick Kürschner; Xiaobo Liu; Joseph M. Maubach; Jens Saak; Wil H. A. Schilders; Jonas Schulze; Nathan van de Wouw (CoRR, 2025)

Efficient Solution of Sequences of Parametrized Lyapunov Equations With Applications. - Davide Palitta; Zoran Tomljanovic; Ivica Nakic; Jens Saak (Numer. Linear Algebra Appl., 2025)

Towards an Efficient Shifted Cholesky QR for Applications in Model Order Reduction using pyMOR. - Maximilian Bindhak; Art J. R. Pelling; Jens Saak (CoRR, 2025)

Towards a mixed-precision ADI method for Lyapunov equations. - Jonas Schulze; Jens Saak (CoRR, 2025)