Vorträge
Vorträge 1 bis 10 von 710 | Gesamtansicht
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Datum | Zeit | Ort | Vortrag |
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01.08.25 | 16:00 | Am Schwarzenberg-Campus 3 (E), Raum 3.074 |
Neural Machine Translation of German Mathematical Lecture Notes using Large Language Models [Projektarbeit] Mohamed Irfan Ajmal Khan ![]() |
23.07.25 | 13:00 | Am Schwarzenberg-Campus 3 (E), Raum 3.074 und Zoom |
Decentralized Real-Time Optimization of Cyber-Physical Systems – The Power of Newton Steps for Control* Timm Faulwasser Model Predictive Control (MPC) is based on receding-horizon solution of optimal control problems and it is among the most successful advanced control methods. Core reasons are its applicability to nonlinear systems with constraints as well as the variety of tailored numerical algorithms and powerful software tools enabling
efficient real-time implementations [1]. The application of MPC to cyber-physical systems (or to multi-
agent systems) is of pivotal interest in many application domains such as energy systems, logistics and
transport, and robotics [2]. In this talk we present recent results on collaborative distributed nonlinear MPC
for cyber-physical systems. We discuss a family of algorithms which is based on the decomposition
of primal-dual Newton steps arising from Sequential Quadratic Programming (SQP) [3]. We explore
how the underlying partially separable problem structure translates into partially separable Newton
steps which can then be computed in decentralized fashion, i.e., based only on neighbor-to-neighbor
communication. Moreover, we show that this numerical framework for decentralized real-time iterations in distributed NMPC
allows for closed-loop stability guarantees [4] and for scalability [5]. Our findings are illustrated with several examples including multiple
real-time implementations [6,7]. Zoomlink: ![]() |
23.07.25 | 10:00 | Raum H-0.07 |
Concatenation and optimization of robot trajectories for spray painting of geometrically complex objects [Masterarbeit] Razvan-Andrei Draghici ![]() |
21.07.25 | 14:30 | D - 0.013 und Zoom |
Towards in-vivo MRI axon radius mapping: insights from MRI-scale histology and experimental validation Laurin Mordhorst, Department of Neuroradiology, University of Lübeck (joint PhD project with us) Axons are micrometer-thin cables that transmit signals across the brain. Their size affects how fast signals travel, making axon diameter a key determinant of brain function -- and, when altered, a potential marker of disease. In theory, MRI is sensitive to axon size through the physics of water diffusion, but this sensitivity has remained unproven in real-world settings for decades. In this talk, I'll present recent advances in validating MRI-based axon radius estimates using experimental MRI and high-resolution microscopy of more than 46 million axons across the human brain. Zoomlink: ![]() |
14.07.25 | 14:30 | Am Schwarzenberg-Campus 3 (E), Raum 3.061 |
Ein Test auf multivariate Gleichverteilung: Theorie und Simulationen [Bachelorarbeit] David Schümann ![]() |
14.07.25 | 13:30 | Am Schwarzenberg-Campus 3 (E), Raum 3.061 |
Der Shapiro-Wilk-Test auf Normalverteilung [Bachelorarbeit] Jonas Holz ![]() |
11.07.25 | 10:00 | Am Schwarzenberg-Campus 3 (E), Raum 3.074 |
Causality and Do-Calculus Dimitri Steigmann ![]() |
10.07.25 | 10:00 | Am Schwarzenberg-Campus 3 (E), Raum 3.074 |
Analyse von Skip-Bo mittels Markov-Ketten Miles Sasportas ![]() |
07.07.25 | 14:00 | Am Schwarzenberg-Campus 3 (E), Raum 3.074 |
Another special role of $L^\infty$: The underestimated theorem by Lotz Christian Budde, University of the Free State, Bloemfontein, Südafrika In this talk, we review the underappreciated theorem by Lotz that tells us that every strongly continuous operator semigroup on a Grothendieck space with the Dunford-Pettis property is automatically uniformly continuous. A large class of spaces that carry these geometric properties are L^\infty for non-negative measure spaces. This shows once again that $L^\infty$-spaces have to be treated differently. ![]() |
02.07.25 | 12:00 | Am Schwarzenberg-Campus 3 (E), Raum 3.074 und Zoom |
A Runge-Kutta Perspective on Spectral Deferred Correction Methods and Their Application to Numerical Weather Prediction Joscha Fregin Atmospheric motion covers a broad range of temporal and spatial scales. Low- and high-pressure systems can influence us for days or even weeks, and they extend up to hundreds of kilometers. In contrast, sound waves pass by in seconds with wavelengths of centimetres to meters. Implicit-explicit (IMEX) time stepping methods can help avoid drastic limitations on the time step induced by this variety of scales without requiring computationally expensive fully nonlinear implicit solves. Zoomlink: ![]() |
* Vortrag im Rahmen des Kolloquiums für Angewandte Mathematik