2016 CHALLENGE WORKSHOP
Reduced-Order Modeling for Simulation and Optimization Algorithms as Key Enablers for Scientific Computing
The 10th Challenge workshop focused on advanced algorithms to increase the performance. It took place at the Robert-Bosch-Campus on November 17–18, 2016.
Challenges
Growing demand for numerical solutions in scientific computing (modeling, simulation, data analysis, optimization problems in many application fields) requires ever-higher algorithmic and computational performance. It has been shown in many cases that the advancement of mathematical algorithms has increased the arithmetic performance clearly more than the improvements of computer hardware.
Input Speaker
- Stefan Kurz (Robert Bosch GmbH)
- Karsten Urban (Ulm University)
- Pawan Goyal (Max Planck Institute Magdeburg)
- Michael Rieger (BASF SE)
- Michael Dellnitz (Paderborn University)
- Eugene Tyrtyshnikov (Russian Academy of Sciences)
- Oleg Iliev (Fraunhofer ITWM)
- Volker Mehrmann (TU Berlin)
- Dirk Hartmann (Siemens AG)
- Benjamin Unger (TU Berlin)
- Jens Bremer (Max Planck Institute Magdeburg)
- Alessandro Castagnotto (TU Munich)
- Maria Cruz Varona (TU Munich)
- Sara Grundel (Max Planck Institute Magdeburg)
- Bernard Haasdonk (University of Stuttgart)
- Jan Heiland (Max Planck Institute Magdeburg)
- Sebastian Ullmann (TU Darmstadt)
- Michael Hinze (University of Hamburg)
- Jörg Fehr (University of Stuttgart)
- Zeger Bontinck (TU Darmstadt)
