Fachbereich Mathematik 
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Workshop on Adaptivity and Model Order Reduction
in PDE Constrained Optimization

23 July to 27 July 2012, Hamburg

The perspectives of MOR and adaptivity in simulation, control and optimization of coupled PDE systems are manifold. These among other things include the development of reduced order models for parametrized nonlinear PDE systems, which are valid over large input/output domains, and the reduction of high-fidelity components in networks. During the last decade simulation-based MOR techniques, as balanced truncation model reduction, proper orthogonal decomposition (POD), reduced basis methods, and adaptive finite element concepts, like the dual weighted residual method, became more and more important also as solution tools for optimization problems with PDE constraints. It is now timely to combine the recent achievements in optimization, reduced order modeling, and adaptivity to develop reliable and robust solution tools for large-scale PDE constrained optimization problems, and to transfer these tools to real world applications.

The proposed workshop brings together researchers working actively in the field of PDE constrained optimization utilizing reduced order modeling techniques and scientists so far mainly involved in the development of model order reduction techniques for complex physical systems. Special focus is put on exchange of ideas between these research areas, and to enhance knowledge in model reduction techniques combined with PDE constrained optimization in the applications.

ESF-Logo Gästehaus Uni Hamburg DFG Forschungsschwerpunkt SPP1253

  Seitenanfang  Impress 2012-05-30, wwwmath (MJ)