Sparse recovery algorithms from exact and incomplete data
- Iterative thresholding algorithms for inverse problems with sparsity constraints. Vector valued sparse recovery.
- Acceleration methods: projected gradient methods and domain decomposition methods.
- Adaptive frame schemes for PDE and relations to sparse recovery.
- Applications in image processing, brain imaging, and numerical simulation.