Theoretical Foundations and Numerical Methods for Sparse Recovery is popular PDF and ePub book, written by Massimo Fornasier in 2010-07-30, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Theoretical Foundations and Numerical Methods for Sparse Recovery can be Read Online from any device for your convenience.
Theoretical Foundations and Numerical Methods for Sparse Recovery Book PDF Summary
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
Detail Book of Theoretical Foundations and Numerical Methods for Sparse Recovery PDF
- Author : Massimo Fornasier
- Release : 30 July 2010
- Publisher : Walter de Gruyter
- ISBN : 9783110226157
- Genre : Mathematics
- Total Page : 351 pages
- Language : English
- PDF File Size : 12,6 Mb
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