Christoph Garth, Computational Topology Group Title: Scientific Visualization Research @ TU Kaiserslautern Abstract: The aim of scientific visualization is to provide graphical representations of complex physical phenomena in order to assist scientific investigation and to allow inferences that are not … Continue reading →

Daniela Fußeder, Felix-Klein-Center for Mathematics. Title: On Shape Optimization in the Context of Isogeometric Analysis Abstract: In shape optimization, the communication between the geometric description and the analysis suitable model of the domain plays an important role as updating the … Continue reading →

We will host Stephan Schmidt from the Chair of Mathematics IX (Scientific Computing) at University of Würzburg. Title: Large Scale Shape Optimization – Inverse Problems, Nodal Mesh Deformation and Discrete Differential Geometry Abstract: Techniques and ingredients for large scale shape … Continue reading →

Anil Nemili, SciComp Title: Optimal Active Separation Control on High-Lift Configurations Abstract: During the landing and take-off phases of a modern commercial aircraft, high-lift devices are used to generate extra amount of lift to reduce the landing and take-off speeds … Continue reading →

Tim Albring, SciComp Title: Semi-automatic Transition from Simulation to Optimization Abstract: PDE-constraint optimization often relies on the adjoint-based sensitivity evaluation, where one distinguishes between the discrete and the continuous methods. Both approaches have their advantages and disadvantages, but they are … Continue reading →

Markus Widhalm from the Institute of Aerodynamics and Flow Technology at DLR Braunschweig will be our guest. Title: Evaluating Stability Derivatives with a Linearized Frequency Domain Solver Abstract: Efficient and accurate prediction of derivatives from aerodynamic forces and moments of … Continue reading →

Lionel Mathelin from LIMSI-CNRS will give a talk about Flow Control and Uncertainty Quantification. Title: An Occam’s razor paradigm for the control of complex systems Abstract: Efficient control of complex systems involves ingredients such as robustness, reduced order modeling, observation … Continue reading →