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.
more details