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Autumn School Algorithmic Optimization
19. September 2016 - 22. September 2016
The Autumn School 2016 of the RTG “Algorithmic Optimization” introduced participants to the main ideas from various fields of mathematical optimization. Ranging from 1) PDE-constrained, 2) discrete and 3) multicriteria optimization to 4) optimization in statistics a broad overview was provided. The autumn school focused on recent algorithmic advances in these fields.
Göran Kauermann, LMU München
- Non-parametric statistical modelling partially using big data
Winnifried Wollner, TU Darmstadt
- Adaptive finite elements in numerical optimization
Sven Krumke, TU Kaiserslautern
- Online Optimization
Gabriele Eichfelder, TU Ilmenau
- Multi-objective optimization
Abstracts: Autumn School Abstracts
Ekkehard Sachs, Martin Siebenborn