Minisymposia
| Title: | Large scale computational inverse problems |
| Organizer(s): | George Biros, Georgia Institute of Technology
Barbara Kaltenbacher, University of Graz, Austria |
| Speakers: | Martin Benning, University of Munster, Germany A linearized model for dynamic positron emission tomography George Biros, Georgia Institute of Technology Adaptive discretizations for the time harmonic inverse medium problem Herbert Egger, Techical University of Chemnitz, Germany On multilevel iterative solution of inverse problems Thorsten Hohage, University of Gottingen, Germany Large-scale inverse problems in photonic imaging Youssef Marzouk, MIT High-dimensional statistical inverse problems without Markov chains John Schotland, University of Michigan Inverse transport with large data sets Christoph Schwarzbach, University of British Columbia, Canada Inversion of electromagnetic data collected using a large number of sources Georg Stadler, University of Texas at Austin Global seismic full waveform inversion with quantified uncertainties |
| Abstract: | An increasing demand for large scale inverse problems in many application domains (for example, seismic inversion, electromagnetic geophysical surveying, and novel high-resolution medical imaging technologies) has driven a significant growth in research efforts in the field of computational inverse problems. New methodologies have been developed to address scalability and robustness issues for large scale problems. Examples include multilevel strategies, adaptivity, and preconditioning. Also, a problem-specific development of efficient, tightly-coupled forward and inverse solvers often leads to successful methods for large scale applications. The aim of this minisymposium is to present recent trends in this field and provide a forum for exchange and discussion. |
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