Thursday, September 21

Computational Complexities in Inverse Problems - Part I of III

10:30 AM-12:30 PM
Center City 2

For Parts II and III, see MS15 and MS25

Inverse problems solutions, which are material properties and/or shapes of objects or surfaces, are indirectly related to the data. Computational issues which arise in numerical constructions include effective use of large data sets, realistic use of incomplete data sets, clever use of underlying differential equations models, analysis of uncertainties and sensitivities and the creation of images of the solutions. This minisymposium addresses these issues for a variety of problems  including micro-optics, space object observatory measurements, electrical conductivity imaging, geophysical imaging and material parameter estimation.

Organizers: Joyce R. McLaughlin
Rensselaer Polytechnic Institute, USA
William Rundell
Texas A&M University, USA
10:30-10:55 Computational Challenges from Inverse Problems in Geosciences
William Symes, Rice University, USA
11:00-11:25 Adaptive Local Regularization of Inverse Problems           
Patricia K. Lamm, Michigan State University, USA
11:30-11:55 Imaging Electrical Conductivity and Permittivity with a Nonlinear Multigrid Approach
Liliana Borcea, Rice University, USA
12:00-12:25 Computational Solution of the Schrödinger Inverse Scattering Problem on the Whole Line
Paul Sacks, Iowa State University

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