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010   $a9786612723025
010   $a3-11-022615-4
024 7 $a10.1515/9783110226157
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035   $a(EBL)570578
035   $a(OCoLC)659500627
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035   $a(MiAaPQ)EBC570578
035   $a(DE-B1597)38347
035   $a(OCoLC)979731575
035   $a(DE-B1597)9783110226157
035   $a(Au-PeEL)EBL570578
035   $a(CaPaEBR)ebr10408304
035   $a(CaONFJC)MIL272302
035   $a(PPN)202062813
035   $a(EXLCZ)992670000000034670
100   $a20100514d2010      uy             0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt
182   $cc
183   $acr
200 00$aTheoretical foundations and numerical methods for sparse recovery$b[electronic resource] /$fedited by Massimo Fornasier
210   $aBerlin ;$aNew York $cDe Gruyter$dc2010
215   $a1 online resource (350 p.)
225 1 $aRadon series on computational and applied mathematics ;$v9
300   $aDescription based upon print version of record.
311   $a3-11-022614-6 
320   $aIncludes bibliographical references and index.
327   $t Frontmatter -- $tTable of Contents -- $tCompressive Sensing and Structured Random Matrices -- $tNumerical Methods for Sparse Recovery -- $tSparse Recovery in Inverse Problems -- $tAn Introduction to Total Variation for Image Analysis
330   $aThe present collection is the very first contribution of this type in the field of sparse recovery. Compressed sensing is one of the important facets of the broader concept presented in the book, which by now has made connections with other branches such as mathematical imaging, inverse problems, numerical analysis and simulation. The book consists of four lecture notes of courses given at the Summer School on "Theoretical Foundations and Numerical Methods for Sparse Recovery" held at the Johann Radon Institute for Computational and Applied Mathematics in Linz, Austria, in September 2009. This unique collection will be of value for a broad community and may serve as a textbook for graduate courses. From the contents: "Compressive Sensing and Structured Random Matrices" by Holger Rauhut "Numerical Methods for Sparse Recovery" by Massimo Fornasier "Sparse Recovery in Inverse Problems" by Ronny Ramlau and Gerd Teschke "An Introduction to Total Variation for Image Analysis" by Antonin Chambolle, Vicent Caselles, Daniel Cremers, Matteo Novaga and Thomas Pock 
410  0$aRadon series on computational and applied mathematics ;$v9.
606   $aSparse matrices
606   $aEquations$xNumerical solutions
606   $aDifferential equations, Partial$xNumerical solutions
610   $aImage Processing.
610   $aNumerical Solution of Partial Differential Inverse Problems.
610   $aSignal Processing.
610   $aSparsity.
615  0$aSparse matrices.
615  0$aEquations$xNumerical solutions.
615  0$aDifferential equations, Partial$xNumerical solutions.
676   $a512.9/434
686   $aSK 920$qSEPA$2rvk
701   $aFornasier$b Massimo$01541280
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910784934003321
996   $aTheoretical foundations and numerical methods for sparse recovery$93793336
997   $aUNINA