Publications of Peter Benner
All genres
Poster (6)
2016
Poster
Optimization and Reduced Order Modeling of CO2 Methanation Reactors. KoMSO Challenge Workshop "Reduced-Order Modeling for Simulation and Optimization", Renningen, Germany (2016)
2015
Poster
Quadratic Approximation for Model Order Reduction in Reaction Engineering. MORE - Workshop on MOdel REduction, Pilsen, Czech Republic (2015)
Thesis - PhD (1)
1997
Thesis - PhD
Contributions to the Numerical Solution of Algebraic Riccati Equations and Related Eigenvalue Problems. Dissertation, 228 pp., Logos-Verlag, Berlin (1997)
Thesis - Master (1)
1993
Thesis - Master
Ein orthogonal symplektischer Multishift Algorithms zur Lösung der algebraischen Riccatigleichung. Master (1993)
Working Paper (29)
2022
Working Paper
The Hamiltonian Extended Krylov Subspace Method. (2022)
Working Paper
A Unifying Framework for Tangential Interpolation of Structured Bilinear Control Systems. (2022)
Working Paper
A Structure-Preserving Divide-and-Conquer Method for Pseudosymmetric Matrices. (2022)
Working Paper
Krylov Techniques for Low-Rank ADI. (2022)
Working Paper
Neural ODEs with Irregular and Noisy Data. (2022)
Working Paper
Model Reduction for Second-Order Systems with Inhomogeneous Initial Conditions. (2022)
2021
Working Paper
Inf-Sup-Constant-Free State Error Estimator for Model Order Reduction of Parametric Systems in Electromagnetics. (2021)
Working Paper
LQResNet: A Deep Neural Network Architecture for Learning Dynamic Processes. (2021)
Working Paper
Learning Dynamics from Noisy Measurements using Deep Learning with a Runge-Kutta Constraint. The Symbiosis of Deep Learning and Differential Equations Workshop at NeurIPS 2021, 9 pages (2021)
Working Paper
Learning Low-Dimensional Quadratic-Embeddings of High-Fidelity Nonlinear Dynamics using Deep Learning. (2021)
Working Paper
Next-Gen Gas Network Simulation. (2021)
Working Paper
Multivariate Moment Matching for Model Order Reduction of Quadratic-Bilinear Systems using Error Bounds. (2021)
Working Paper
Solution Decomposition for the Nonlinear Poisson-Boltzmann Equation using the Range-Separated Tensor Format. (2021)
Working Paper
Learning Reduced Order Models from Data for Hyperbolic PDEs. (2021)
2020
Working Paper
Automatic Decoupling and Index-aware Model-Order Reduction for Nonlinear Differential-Algebraic Equations. (2020)
Working Paper
Structure-Preserving Model Reduction for Dissipative Mechanical Systems. (2020)