Publications of Peter Benner

Benner, P.; Heiland, J.; Werner, S. W. R.: A Low-Rank Solution Method for Riccati Equations with Indefinite Quadratic Terms. Numerical Algorithms 92, pp. 1083 - 1103 (2023)

Benner, P.; Nakatsukasa, Y.; Penke, C.: A Structure-Preserving Divide-and-Conquer Method for Pseudosymmetric Matrices. SIAM journal on Matrix Analysis and Applications 44 (3), pp. 1245 - 1270 (2023)

Benner, P.; Palitta, D.; Saak, J.: On an integrated Krylov-ADI Solver for Large-Scale Lyapunov Equations. Numerical Algorithms 92, pp. 35 - 63 (2023)

Benner, P.; Van Dooren, P.: Periodic Two-Dimensional Descriptor Systems. Electronic Journal of Linear Algebra 39, pp. 472 - 490 (2023)

Chellappa, S.; Cansız, B.; Feng, L.; Benner, P.; Kaliske, M.: Fast and Reliable Reduced-Order Models for Cardiac Electrophysiology. GAMM-Mitteilungen 46 (3-4), e202370014 (2023)

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. IEEE Transactions on Microwave Theory and Techniques 71 (11), pp. 4762 - 4777 (2023)

Feng, L.; Lombardi, L.; Antonini, G.; Benner, P.: Multi-fidelity Error Estimation accelerates Greedy Model Reduction of Complex Dynamical Systems. International Journal for Numerical Methods in Engineering 124 (23), pp. 5312 - 5333 (2023)

Filanova, Y.; Pontes Duff, I.; Goyal, P. K.; Benner, P.: An Operator Inference Oriented Approach for Linear Mechanical Systems. Mechanical Systems and Signal Processing 200, 110620 (2023)

Goyal, P. K.; Benner, P.: Neural Ordinary Differential Equations with Irregular and Noisy Data. Royal Society Open Science 10, 221475 (2023)

Grundel, S.; Flechtner, H.-H.; Butzmann, J.; Benner, P.; Kaasch, A. J.: Twice Weekly Polymerase Chain Reaction (PCR) Surveillance Swabs are not as Effective as Daily Antigen Testing for Containment of SARS-CoV-2 Outbreaks: A Modeling Study Based on Real World Data from a Child and Adolescent Psychiatry Clinic. Infection Control & Hospital Epidemiology 44 (12), pp. 1987 - 1994 (2023)

Khorrami, M. S.; Mianroodi, J. R.; Siboni, N. H.; Goyal, P. K.; Svendsen, B.; Benner, P.; Raabe, D.: An Artificial Neural Network for Surrogate Modeling of Stress Fields in Viscoplastic Polycrystalline Materials. npj Computational Materials 9, 37 (2023)

Kour, K.; Dolgov, S.; Stoll, M.; Benner, P.: Efficient Structure-preserving Support Tensor Train Machine. Journal of Machine Learning Research 24 (4), pp. 1 - 22 (2023)

Kumar, V.; Heiland, J.; Benner, P.: Exponential Lag Synchronization of Cohen-Grossberg Neural Networks with Discrete and Distributed Delays on Time Scales. Neural Processing Letters 55, pp. 9907 - 9929 (2023)

Kumar, V.; Heiland, J.; Benner, P.: Projective Lag Quasi-Synchronization of Coupled Systems with Mixed Delays and Parameter Mismatch: A Unified Theory. Neural Computing and Applications 35, pp. 23649 - 23665 (2023)

Kweyu, C. M.; Feng, L.; Stein, M.; Benner, P.: Reduced Basis Method for the Nonlinear Poisson-Boltzmann Equation regularized by the Range-Separated Canonical Tensor Format. International Journal of Nonlinear Sciences and Numerical Simulation 24 (8), pp. 2915 - 2935 (2023)

Torchio, R.; Lucchini, F.; Filippini, M.; Romano, D.; Feng, L.; Benner, P.; Antonini, G.: A Reduced Order Modelling Approach for Full-Maxwell Lightning Strike Analyses in Layered Backgrounds. IEEE Transactions on Power Delivery 38 (3), pp. 1949 - 1957 (2023)

Banagaaya, N.; Ali, G.; Grundel, S.; Benner, P.: Index-Aware Model-Order Reduction for a Special Class of Nonlinear Differential-Algebraic Equations. Journal of Dynamics and Differential Equations 34, pp. 2465 - 2489 (2022)

Benner, P.; Faßbender, H.; Senn, M.-N.: The Hamiltonian Extended Krylov Subspace Method. The Electronic Journal of Linear Algebra 38, pp. 572 - 606 (2022)

Benner, P.; Filanova, Y.; Karachalios, D.; Monem Abdelhafez, S.; Przybilla, J.; Werner, S. W. R.: Mathematische Komplexitätsreduktion: Modellreduktion dynamischer Systeme. Mitteilungen der Deutschen Mathematiker-Vereinigung 29 (4), pp. 198 - 204 (2022)

Benner, P.; Goyal, P. K.; Heiland, J.; Pontes Duff, I.: Operator Inference and Physics-Informed Learning of Low-Dimensional Models for Incompressible Flows. Electronic Transactions on Numerical Analysis: Special Issue SciML 56, pp. 28 - 51 (2022)