Free boundary value problems and level-set-methods
At a glance
Project duration
04/2015
– 03/2018
Funded by
DFG Individual Research Grant
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Project description
The project, which cooperates closely with the FWF SFB F32 "Mathematical Optimization and its Applications in Biomedical Sciences", will pursue three major directions:
<br /> (i) Integrated automated regularization parameter choice rules in inverse problems and image processing
<br /> (ii) Riemannian optimization for low-rank and sparse tensor decomposition for separating spatial and temporal features
<br /> (iii) Contact problems between the epi- and pericardium in the heart
Topics