Professur für Optimization under Uncertainty & Data Analysis

Robust chance-constrained optimization with discrete distributions (2025) Bernhard D, Liers F, Stingl M Unpublished / Preprint The non-stop disjoint trajectories problem (2024) Hoch B, Liers-Bergmann F, Neumann S, Zaragoza Martínez FJ Journal article A Framework for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 Improving reconstructions in nanotomography for homogeneous materials via mathematical optimization (2024) Kreuz S, Apeleo Zubiri B, Englisch S, Buwen M, Kang SG, Ramachandramoorthy R, Spiecker E, 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Method for Joint Chance-Constrained Optimization with Continuous Distributions (2024) Bernhard D, Liers F, Stingl M Unpublished / Preprint Optimized Noise Suppression for Quantum Circuits (2024) Wagner F, Egger D, Liers F Unpublished / Preprint