Reconstruction Methods for Inverse Problems (19w5092)

at Banff, Alberta from Sunday, June 23 to Friday June 28, 2019

Organizers

  • Elena Beretta (NYU Abu Dhabi & Politecnico di Milano)
  • Uri Ascher (University of British Columbia)
  • Otmar Scherzer (University of Vienna)
  • Luminita Vese (University of California, Los Angeles)

Description

Inverse problems require to determine the cause from a set of indirect observations. Such problems appear in medical imaging, non destructive testing of materials, computerized tomography, source reconstructions in acoustics, computer vision and geophysics, to mention but a few. The 21st century is the golden age of computer imaging: Measurement devices have become enormously powerful and huge amounts of data are recorded at every eye glimpse. Moreover, computer technology has developed to such a high degree of efficiency that the evaluation of such an enormous amount of data has become possible *if* adequate mathematical and computational tools are used.

Recently, the community has been exposed to fundamentally new mathematical models (such as learning), which stimulated exciting theoretical developments and new computational algorithms for solving complicated large scale inverse problems. This workshop will survey modern and identify new mathematical and computational developments for tackling such problems.

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