-------- Original Message --------

Subject:	Fwd: Fwd: Abstract
Date:	Thu, 05 Sep 2013 13:59:06 +0200
From:	Christian Rieger <rieger@ins.uni-bonn.de>
To:	ag-griebel@ins.uni-bonn.de, ag-schweitzer@ins.uni-bonn.de, ag-garcke@ins.uni-bonn.de, Nils Hornung <nils.hornung@scai.fraunhofer.de>, ag-griebel-stud@ins.uni-bonn.de

Hallo,

fuer den Vortrag morgen um 14:00 im Seminarraum 6.020:

Vortragende:

Sara Grundel
Postdoctoral Research Fellow Computational Methods in Systems and 
Control Theory
Max Planck Institute for Dynamics of Complex Technical Systems
Sandtorstr. 1 D-39106 Magdeburg Germany
Email: grundel@mpi-magdeburg.mpg.de
Tel :+49 391 6110 805

Abstract (siehe auch den Anhang):

Interpolation and Model Order Reduction for parametric systems

Sara Grundel, Nils Hornung+ und Peter Benner

MPI Magdeburg
+ Fraunhofer SCAI

Model Order Reduction (MOR) Methods for linear systems are well studied 
and many successful
methods exist. We will review the H2 optimal MOR and explain some recent 
advances in Parametric
Model Order Reduction. The focus will be on a method where we 
interpolate the poles of the reduced
order model by Radial Basis Function Interpolation. What this means is 
that the function we want to
interpolate are eigenvalues of matrices depending on parameters. This 
can mean a variety of non nice
behaviour in theory. It doesn’t actually show up very frequently in 
practice but we will still show a
way how to deal with it. We will furthermore need to introduce a 
technique to create a medium size
model for computational efficiency.



Viele Gruesse,

Christian