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Theoretical foundations and numerical methods for sparse recovery. Papers based on the presentations of the summer school “Theoretical foundations and numerical methods for sparse recovery”, Vienna, Austria, August 31 – September 4, 2009. (English) Zbl 1195.94005
Radon Series on Computational and Applied Mathematics 9. Berlin: de Gruyter (ISBN 978-3-11-022614-0/hbk; 978-3-11-022615-7/ebook). x, 340 p. (2010).

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The articles of this volume will be reviewed individually.
Indexed articles:
Rauhut, Holger, Compressive sensing and structured random matrices, 1-92 [Zbl 1208.15027]
Fornasier, Massimo, Numerical methods for sparse recovery, 93-200 [Zbl 1208.65089]
Ramlau, Ronny; Teschke, Gerd, Sparse recovery in inverse problems, 201-262 [Zbl 1210.65107]
Chambolle, Antonin; Caselles, Vicent; Cremers, Daniel; Novaga, Matteo; Pock, Thomas, An introduction to total variation for image analysis, 263-340 [Zbl 1209.94004]

MSC:
94-06 Proceedings, conferences, collections, etc. pertaining to information and communication theory
94A08 Image processing (compression, reconstruction, etc.) in information and communication theory
94A12 Signal theory (characterization, reconstruction, filtering, etc.)
15B52 Random matrices (algebraic aspects)
26B30 Absolutely continuous real functions of several variables, functions of bounded variation
42A61 Probabilistic methods for one variable harmonic analysis
49M29 Numerical methods involving duality
49N45 Inverse problems in optimal control
65K10 Numerical optimization and variational techniques
90C90 Applications of mathematical programming
00B25 Proceedings of conferences of miscellaneous specific interest
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