Massimo Fornasier 
Theoretical Foundations and Numerical Methods for Sparse Recovery [PDF ebook] 

Support

The present collection 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.

The book consists of four lecture notes of courses given at the Summer School on ‘Theoretical Foundations and Numerical Methods for Sparse Recovery’ held at the Johann Radon Institute for Computational and Applied Mathematics in Linz, Austria, in September 2009. This unique collection will be of value for a broad community and may serve as a textbook for graduate courses.

From the contents:

‘Compressive Sensing and Structured Random Matrices’ by Holger Rauhut

‘Numerical Methods for Sparse Recovery’ by Massimo Fornasier

‘Sparse Recovery in Inverse Problems’ by Ronny Ramlau and Gerd Teschke

‘An Introduction to Total Variation for Image Analysis’ by Antonin Chambolle, Vicent Caselles, Daniel Cremers, Matteo Novaga and Thomas Pock

€189.95
payment methods

About the author

Massimo Fornasier, Johann Radon Institute for Computational and Applied Mathematics, Linz, Austria.

Buy this ebook and get 1 more FREE!
Language English ● Format PDF ● Pages 350 ● ISBN 9783110226157 ● File size 5.4 MB ● Editor Massimo Fornasier ● Publisher De Gruyter ● City Berlin/Boston ● Published 2010 ● Edition 1 ● Downloadable 24 months ● Currency EUR ● ID 6292522 ● Copy protection Adobe DRM
Requires a DRM capable ebook reader

More ebooks from the same author(s) / Editor

1,384 Ebooks in this category