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.
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