Publikationen von Peter Benner

Hochschulschrift - Doktorarbeit (1)

621.
Hochschulschrift - Doktorarbeit
Benner, P.: Contributions to the Numerical Solution of Algebraic Riccati Equations and Related Eigenvalue Problems. Dissertation, 228 S., Logos-Verlag, Berlin (1997)

Hochschulschrift - Master (1)

622.
Hochschulschrift - Master
Benner, P.: Ein orthogonal symplektischer Multishift Algorithms zur Lösung der algebraischen Riccatigleichung. Master (1993)

Forschungspapier (29)

623.
Forschungspapier
Przybilla, J.; Pontes Duff, I.; Benner, P.: Model Reduction for Second-Order Systems with Inhomogeneous Initial Conditions. (2022)
624.
Forschungspapier
Benner, P.; Gugercin, S.; Werner, S. W. R.: A Unifying Framework for Tangential Interpolation of Structured Bilinear Control Systems. (2022)
625.
Forschungspapier
Goyal, P. K.; Benner, P.: Neural ODEs with Irregular and Noisy Data. (2022)
626.
Forschungspapier
Benner, P.; Palitta, D.; Saak, J.: Krylov Techniques for Low-Rank ADI. (2022)
627.
Forschungspapier
Benner, P.; Nakatsukasa, Y.; Penke, C.: A Structure-Preserving Divide-and-Conquer Method for Pseudosymmetric Matrices. (2022)
628.
Forschungspapier
Benner, P.; Faßbender, H.; Senn, M.-N.: The Hamiltonian Extended Krylov Subspace Method. (2022)
629.
Forschungspapier
Goyal, P. K.; Benner, P.: Learning Low-Dimensional Quadratic-Embeddings of High-Fidelity Nonlinear Dynamics using Deep Learning. (2021)
630.
Forschungspapier
Kweyu, C. M.; Khoromskaia, V.; Khoromskij, B.; Stein, M.; Benner, P.: Solution Decomposition for the Nonlinear Poisson-Boltzmann Equation using the Range-Separated Tensor Format. (2021)
631.
Forschungspapier
Sarna, N.; Benner, P.: Learning Reduced Order Models from Data for Hyperbolic PDEs. (2021)
632.
Forschungspapier
Himpe, C.; Grundel, S.; Benner, P.: Next-Gen Gas Network Simulation. (2021)
633.
Forschungspapier
Khattak, M. A.; Ahmad, M. I.; Feng, L.; Benner, P.: Multivariate Moment Matching for Model Order Reduction of Quadratic-Bilinear Systems using Error Bounds. (2021)
634.
Forschungspapier
Chellappa, S.; Feng, L.; de la Rubia, V.; Benner, P.: Inf-Sup-Constant-Free State Error Estimator for Model Order Reduction of Parametric Systems in Electromagnetics. (2021)
635.
Forschungspapier
Goyal, P. K.; Benner, P.: LQResNet: A Deep Neural Network Architecture for Learning Dynamic Processes. (2021)
636.
Forschungspapier
Goyal, P. K.; Benner, P.: 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)
637.
Forschungspapier
Beddig, R. S.; Benner, P.; Dorschky, I.; Reis, T.; Schwerdtner, P.; Voigt, M.; Werner, S. W. R.: Structure-Preserving Model Reduction for Dissipative Mechanical Systems. (2020)
638.
Forschungspapier
Sarna, N.; Giesselmann, J.; Benner, P.: Data-Driven Snapshot Calibration via Monotonic Feature Matching. (2020)
639.
Forschungspapier
Benner, P.; Heiland, J.: Space and Chaos-Expansion Galerkin POD Low-order Discretization of PDEs for Uncertainty Quantification. (2020)
640.
Forschungspapier
Weinhandl, R.; Benner, P.; Richter, T.: A Low-rank Method for Parameter-dependent Fluid-structure Interaction Discretizations with Hyperelasticity. (2020)
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