Summer School on "Theoretical Foundations and Numerical Methods for Sparse Recovery"
held at the
Johann Radon Institute for Computational and Applied Mathematics (RICAM)
Linz, August 31-September 4, 2009
Introduction
Sparsity has become a very important concept in recent years in applied mathematics, especially in mathematical signal and image processing, in the numerical treatment of PDEs as well as in inverse problems. The key idea is that many types of functions and signals arising naturally in these contexts can be described by only a small number of significant degrees of freedom. Clearly, one should take advantage of this feature in order to design very efficient ad hoc numerical solutions based on a drastic dimensionality reduction. This intensive school aims at describing the novel ideas that have emerged in sparse recovery with emphasis on theoretical foundations and numerical methodologies.
Local Organizers
Massimo Fornasier, Johann Radon Institute, Austria
Ronny Ramlau, Johann Radon Institute, Austria
Organizing institutions
Doctoral Program in Computational Mathematics, (RICAM, JKU)
RICAM
FWF-START project "Sparse Approximation and Optimization in High Dimensions"
Poster
Download the poster as jpg: low resolution (0.6 MB), DIN A3 (6.1 MB), DIN A2 (9.5 MB).
