Theoretical Foundations and Numerical Methods for Sparse Recovery / / ed. by Massimo Fornasier.

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, nu...

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Superior document:Title is part of eBook package: De Gruyter DGBA Backlist Complete English Language 2000-2014 PART1
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HerausgeberIn:
Place / Publishing House:Berlin ;, Boston : : De Gruyter, , [2010]
©2010
Year of Publication:2010
Language:English
Series:Radon Series on Computational and Applied Mathematics , 9
Online Access:
Physical Description:1 online resource (340 p.)
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245 0 0 |a Theoretical Foundations and Numerical Methods for Sparse Recovery /  |c ed. by Massimo Fornasier. 
264 1 |a Berlin ;  |a Boston :   |b De Gruyter,   |c [2010] 
264 4 |c ©2010 
300 |a 1 online resource (340 p.) 
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490 0 |a Radon Series on Computational and Applied Mathematics ,  |x 1865-3707 ;  |v 9 
505 0 0 |t Frontmatter --   |t Table of Contents --   |t Compressive Sensing and Structured Random Matrices --   |t Numerical Methods for Sparse Recovery --   |t Sparse Recovery in Inverse Problems --   |t An Introduction to Total Variation for Image Analysis 
506 0 |a restricted access  |u http://purl.org/coar/access_right/c_16ec  |f online access with authorization  |2 star 
520 |a 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 
530 |a Issued also in print. 
538 |a Mode of access: Internet via World Wide Web. 
546 |a In English. 
588 0 |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 28. Feb 2023) 
650 0 |a Differential equations, Partial  |x Numerical solutions. 
650 0 |a Equations  |x Numerical solutions. 
650 0 |a Sparse matrices. 
650 4 |a Bildverarbeitung. 
650 4 |a Inverses Problem. 
650 4 |a Numerische Mathematik. 
650 4 |a Signalverarbeitung. 
650 4 |a Sparse-Matrix. 
650 7 |a MATHEMATICS / Applied.  |2 bisacsh 
653 |a Image Processing. 
653 |a Numerical Solution of Partial Differential Inverse Problems. 
653 |a Signal Processing. 
653 |a Sparsity. 
700 1 |a Caselles, Vicent,   |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Chambolle, Antonin,   |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Cremers, Daniel,   |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Fornasier, Massimo,   |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Fornasier, Massimo,   |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Novaga, Matteo,   |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Pock, Thomas,   |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Ramlau, Ronny,   |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Rauhut, Holger,   |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Teschke, Gerd,   |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
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776 0 |c print  |z 9783110226140 
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