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Regularization of inverse problems: convergence analysis, new applications

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  • UserHeinz Engl (University of Vienna)
  • ClockThursday 08 May 2008, 15:00-16:00
  • HouseMR14, CMS.

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We illustrate, via parameter identificaton problems from systems biology, the numerical difficulties arising when solving inverse problems and give an overview over different regularization methods (variational and iterative) for their stable solution. We describe mathematical techniques for their converence analysis, where recent emphasis has been on nonlinear problems in a non-Hilbert-space setting. we close by mentioning the application of such methods to inverse problems in finance and by, time permitting, a new framework for analysing stochastic inverse problems using the Prokhorov metric.

This talk is part of the Applied and Computational Analysis series.

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