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Theoretical Foundations and Numerical Methods for Sparse Recovery on Hardback
Theoretical Foundations and Numerical Methods for Sparse Recovery on Hardback
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Theoretical Foundations and Numerical Methods for Sparse Recovery

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Description

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

Author Biography:

Massimo Fornasier, Johann Radon Institute for Computational and Applied Mathematics, Linz, Austria.
Release date NZ
July 16th, 2010
Audiences
  • Professional & Vocational
  • Professional & Vocational
Contributor
  • Edited by Massimo Fornasier
Illustrations
18 Illustrations, black and white
Pages
350
Dimensions
170x240x25
ISBN-13
9783110226140
Product ID
7415275

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