Theoretical Foundations and Numerical Methods for Sparse Recovery [E-Book].
Fornasier, Massimo
Berlin : De Gruyter
1 online resource (X, 340 S.)
Radon Series on Computational and Applied Mathematics ; 9
Full Text
Biographical note: Massimo Fornasier, Johann Radon Institute for Computational and Applied Mathematics, Linz, Austria.
Main description: The present collection of four lecture notes is the very first contribution of this type in the field of sparse recovery. Compressed sensing is one of the important facets of the broader concept presented in the book, which by now has made connections with other branches such as mathematical imaging, inverse problems, numerical analysis and simulation. This unique collection will be of value for a broad community and may serve as a textbook for graduate courses.