Professur für Optimization under Uncertainty & Data Analysis

The non-stop disjoint trajectories problem (2024) Hoch B, Liers-Bergmann F, Neumann S, Zaragoza Martínez FJ Journal article A Framework for Data-driven Explainability in Mathematical Optimization (2024) Aigner KM, Goerigk M, Hartisch M, Liers F, Miehlich A Conference contribution, Conference Contribution Data-driven Optimization under Uncertainty for Power Networks (2024) Aigner KM Thesis Fleet & tail assignment under uncertainty (2024) Glomb L, Liers-Bergmann F, Rösel F Journal article, Original article Modellierung des Wärmesektors und dessen Flexibilität für Simulationen gekoppelter Energiesysteme (2024) Luna-Jaspe Roa N, Aigner KM, Kolb S, Karl J Conference contribution, Conference Contribution A digital twin to overcome long-time challenges in photovoltaics (2024) Lüer L, Peters IM, Smith AS, Dorschky E, Eskofier B, Liers-Bergmann F, Franke J, et al. Journal article A Gradient-Based Method for Joint Chance-Constrained Optimization with Continuous Distributions (2024) Bernhard D, Liers F, Stingl M Unpublished / Preprint Optimized Noise Suppression for Quantum Circuits (2024) Wagner F, Egger D, Liers F Unpublished / Preprint Improving reconstructions in nanotomography for homogeneous materials via mathematical optimization (2024) Kreuz S, Apeleo-Zubiri B, Englisch S, Kang SG, Ramachandramoorthy R, Spiecker E, Liers F, Rolfes J Unpublished / Preprint Quality Control in Particle Precipitation via Robust Optimization (2024) Kuchlbauer M, Dienstbier J, Muneer A, Hedges H, Stingl M, Liers F, Pflug L Journal article, Original article