Thursday, September 21

MS5
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.

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