Recent uploads
2026-06-10
info:eu-repo/semantics/other
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Research Results
Werkovits, Anna
Hollweger, Simon
Hofmann, Oliver
kinetic Monte Carlo Simulations - performed with kmos3 - for the data published in Werkovits et al., "Emergent Rate Laws for Collective Lying–Standing Transitions", ACS Chem Phys Au, doi 10.1021/acsphyschemau.6c00029. The data are seperated according to the footprint ratio of the molecules, with...
2026-05
info:eu-repo/semantics/other
Open
Research Results
Tasmany, Sami
Kuschmierz, Robert
Woisetschläger, Jakob
This research is the result of Austrian-German joint research project, funded by the Austrian Science Fund FWF within grant FWF-I5392-N. This project is a Lead-Agency D-A-CH project in cooperation between Graz University of Technology, Austria and Technische Universität Dresden, Germany, named...
Background oriented schlieren
ray tracing
combustion
shadowgraphy
2026-05-26
info:eu-repo/semantics/lecture
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Research Results
Diard, Jules
Bertonasco, Roberto
Unite! Workshop (internal) presenting results from the report: Bertonasco, R., Diard, J., Landfahrer Berglez, K., Schön, S., Alcober, J., Büttner, W., Cruz, L., Ebner, M., Espadas, C., Ferrian, C., Fink, J., Gasplmayr, K., Hoppe, C., Järvelä, H., Krysiak, J., Oller, M., Petersson, J., Reignier...
2026
(DE-588)4113937-9
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Publications
Masterarbeit Graz University of Technology 2026 The aim of this thesis is to analyze several optimal control strategies for parabolic differential equations, specifically the heat equation. First of all, the open-loop regularization from [18], its adjoint formulation, and the interpolated...
space-time finite element method
parabolic optimal control problem
open-loop control
closed-loop control
Raum-Zeit Finite Element Methode
Parabolisches optimales Kontrollproblem
Open-Loop Kontrolle
Closed-Loop Kontrolle
2026
(DE-588)4113937-9
Open
Publications
Masterarbeit Graz University of Technology 2026 Image denoising is a fundamental challenge in image processing, aiming to recover clean images from noisy observations. Traditional variational methods, such as Total Variation (TV) denoising, rely on fixed linear operators like discrete gradients...
Denoising
AOL
Analysis Operator Learning
Sparse Programming
Primal-Dual-Gap
Machine Learning
Regularizer
Total Variation
Parameter Learning
Bi-Level Optimization
Primal-Objective-Gap
Bildrauschunterdrückung
AOL
Analysis Operator Learning
Sparse Programming
Primal-Duale-Lücke
Machine Learning
Regularisierer
Totale Variation
Parameter Erlernen
Bi-Level Optimierung
Primal-Objective-Gap