Search Results - "Peitz, Sebastian"

A Descent Method for Nonsmooth Multiobjective Optimization in Hilbert Spaces.

Authors: Sonntag, Konstantin Gebken, Bennet Müller, Georg et al.

Source: Journal of Optimization Theory & Applications; Oct2024, Vol. 203 Issue 1, p455-487, 33p

Fast Multiobjective Gradient Methods with Nesterov Acceleration via Inertial Gradient-Like Systems.

Authors: Sonntag, Konstantin Peitz, Sebastian

Source: Journal of Optimization Theory & Applications; May2024, Vol. 201 Issue 2, p539-582, 44p

On the structure of regularization paths for piecewise differentiable regularization terms.

Authors: Gebken, Bennet Bieker, Katharina Peitz, Sebastian

Source: Journal of Global Optimization; Mar2023, Vol. 85 Issue 3, p709-741, 33p

Inverse multiobjective optimization: Inferring decision criteria from data.

Authors: Gebken, Bennet Peitz, Sebastian

Source: Journal of Global Optimization; May2021, Vol. 80 Issue 1, p3-29, 27p

An Efficient Descent Method for Locally Lipschitz Multiobjective Optimization Problems.

Authors: Gebken, Bennet Peitz, Sebastian

Source: Journal of Optimization Theory & Applications; Mar2021, Vol. 188 Issue 3, p696-723, 28p

Equivariance and partial observations in Koopman operator theory for partial differential equations.

Authors: Peitz, Sebastian Harder, Hans Nüske, Feliks et al.

Source: Journal of Computational Dynamics; Apr2025, Vol. 12 Issue 2, p1-20, 20p

Fourier neural operators as data-driven surrogates for two- and three-dimensional Rayleigh–bénard convection.

Authors: Markmann, Thorben Straat, Michiel Peitz, Sebastian et al.

Source: Neurocomputing; May2026, Vol. 679, pN.PAG-N.PAG, 1p

Finite-Data Error Bounds for Koopman-Based Prediction and Control.

Authors: Nüske, Feliks Peitz, Sebastian Philipp, Friedrich et al.

Source: Journal of Nonlinear Science. Feb2023, Vol. 33 Issue 1, p1-47. 47p.

Multi‐criteria hydraulic turbine optimization using a genetic algorithm and trust‐region postprocessing.

Authors: Rentschler, Tobias Berkemeier, Manuel Bastian Fraas, Stefan et al.

Source: PAMM: Proceedings in Applied Mathematics & Mechanics. Dec2024, Vol. 24 Issue 4, p1-7. 7p.

Relaxed dissipativity assumptions and a simplified algorithm for multiobjective MPC.

Authors: Eichfelder, Gabriele Grüne, Lars Krügel, Lisa et al.

Source: Computational Optimization & Applications; Dec2023, Vol. 86 Issue 3, p1081-1116, 36p

Explicit multiobjective model predictive control for nonlinear systems with symmetries.

Authors: Ober‐Blöbaum, Sina Peitz, Sebastian

Source: International Journal of Robust & Nonlinear Control. 1/25/2021, Vol. 31 Issue 2, p380-403. 24p.

Deep model predictive flow control with limited sensor data and online learning.

Authors: Bieker, Katharina Peitz, Sebastian Brunton, Steven L. et al.

Source: Theoretical & Computational Fluid Dynamics; Aug2020, Vol. 34 Issue 4, p577-591, 15p

Transferability of a discrepancy model for the dynamics of electromagnetic oscillating circuits.

Authors: Wohlleben, Meike Muth, Lars Peitz, Sebastian et al.

Source: PAMM: Proceedings in Applied Mathematics & Mechanics. Oct2023, Vol. 23 Issue 2, p1-9. 9p.

Explicit multiobjective model predictive control for nonlinear systems under uncertainty.

Authors: Hernández Castellanos, Carlos I. Ober‐Blöbaum, Sina Peitz, Sebastian

Source: International Journal of Robust & Nonlinear Control; 11/25/2020, Vol. 30 Issue 17, p7593-7618, 26p

Multiobjective Optimal Control Methods for the Navier-Stokes Equations Using Reduced Order Modeling.

Authors: Peitz, Sebastian Ober-Blöbaum, Sina Dellnitz, Michael

Source: Acta Applicandae Mathematicae. Jun2019, Vol. 161 Issue 1, p171-199. 29p.

Invariance of Gaussian RKHSs Under Koopman Operators of Stochastic Differential Equations With Constant Matrix Coefficients.

Authors: Philipp, Friedrich M. Schaller, Manuel Worthmann, Karl et al.

Source: PAMM: Proceedings in Applied Mathematics & Mechanics. Mar2025, Vol. 25 Issue 1, p1-6. 6p.

Pareto Explorer: a global/local exploration tool for many-objective optimization problems.

Authors: Schütze, Oliver Cuate, Oliver Martín, Adanay et al.

Source: Engineering Optimization; May2020, Vol. 52 Issue 5, p832-855, 24p

Koopman operator-based model reduction for switched-system control of PDEs.

Authors: Peitz, Sebastian Klus, Stefan

Source: Automatica; Aug2019, Vol. 106, p184-191, 8p

Error bounds for kernel-based approximations of the Koopman operator.

Authors: Philipp, Friedrich M. Schaller, Manuel Worthmann, Karl et al.

Source: Applied & Computational Harmonic Analysis; Jul2024, Vol. 71, pN.PAG-N.PAG, 1p

Acknowledgment to the Reviewers of MCA in 2022.

Source: Mathematical & Computational Applications. Feb2023, Vol. 28 Issue 1, p15. 4p.