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SUMMARY:Regularization of inverse problems: convergence analysis\, new app
 lications - Heinz Engl (University of Vienna)
DTSTART:20080508T140000Z
DTEND:20080508T150000Z
UID:TALK9317@talks.cam.ac.uk
CONTACT:6743
DESCRIPTION:We illustrate\, via parameter identificaton problems from syst
 ems biology\, the numerical difficulties arising when solving inverse prob
 lems and give an overview over different regularization methods (variation
 al and iterative) for their stable solution. We describe mathematical tech
 niques for their converence analysis\, where recent emphasis has been on n
 onlinear problems in a non-Hilbert-space setting. we close by mentioning t
 he application of such methods to inverse problems in finance and by\, tim
 e\npermitting\, a new framework for analysing stochastic inverse problems 
 using the Prokhorov metric.
LOCATION:MR14\, CMS
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