Theoretical Foundations and Numerical Methods for Sparse Recovery /

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

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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
MitwirkendeR:
Caselles, Vicent,
Chambolle, Antonin,
Cremers, Daniel,
Fornasier, Massimo,
Novaga, Matteo,
Pock, Thomas,
Ramlau, Ronny,
Rauhut, Holger,
Teschke, Gerd,
HerausgeberIn:
Fornasier, Massimo,
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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id 9783110226157
ctrlnum (DE-B1597)38347
(OCoLC)659500627
collection bib_alma
record_format marc
spelling Theoretical Foundations and Numerical Methods for Sparse Recovery / ed. by Massimo Fornasier.
Berlin ; Boston : De Gruyter, [2010]
©2010
1 online resource (340 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
Radon Series on Computational and Applied Mathematics , 1865-3707 ; 9
Frontmatter -- Table of Contents -- Compressive Sensing and Structured Random Matrices -- Numerical Methods for Sparse Recovery -- Sparse Recovery in Inverse Problems -- An Introduction to Total Variation for Image Analysis
restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star
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
Issued also in print.
Mode of access: Internet via World Wide Web.
In English.
Description based on online resource; title from PDF title page (publisher's Web site, viewed 28. Feb 2023)
Differential equations, Partial Numerical solutions.
Equations Numerical solutions.
Sparse matrices.
Bildverarbeitung.
Inverses Problem.
Numerische Mathematik.
Signalverarbeitung.
Sparse-Matrix.
MATHEMATICS / Applied. bisacsh
Image Processing.
Numerical Solution of Partial Differential Inverse Problems.
Signal Processing.
Sparsity.
Caselles, Vicent, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Chambolle, Antonin, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Cremers, Daniel, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Fornasier, Massimo, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Fornasier, Massimo, editor. edt http://id.loc.gov/vocabulary/relators/edt
Novaga, Matteo, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Pock, Thomas, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Ramlau, Ronny, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Rauhut, Holger, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Teschke, Gerd, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Title is part of eBook package: De Gruyter DGBA Backlist Complete English Language 2000-2014 PART1 9783110238570
Title is part of eBook package: De Gruyter DGBA Backlist Mathematics 2000-2014 (EN) 9783110238471
Title is part of eBook package: De Gruyter DGBA Mathematics - 2000 - 2014 9783110637205 ZDB-23-GMA
Title is part of eBook package: De Gruyter E-BOOK GESAMTPAKET / COMPLETE PACKAGE 2010 9783110233544 ZDB-23-DGG
Title is part of eBook package: De Gruyter E-BOOK PACKAGE ENGLISH LANGUAGES TITLES 2010 9783110233551
Title is part of eBook package: De Gruyter E-BOOK PAKET SCIENCE TECHNOLOGY AND MEDICINE 2010 9783110233636 ZDB-23-DMN
Title is part of eBook package: De Gruyter Radon Series on Applied Mathematics eBook-Package 9783110647174
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language English
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author2 Caselles, Vicent,
Caselles, Vicent,
Chambolle, Antonin,
Chambolle, Antonin,
Cremers, Daniel,
Cremers, Daniel,
Fornasier, Massimo,
Fornasier, Massimo,
Fornasier, Massimo,
Fornasier, Massimo,
Novaga, Matteo,
Novaga, Matteo,
Pock, Thomas,
Pock, Thomas,
Ramlau, Ronny,
Ramlau, Ronny,
Rauhut, Holger,
Rauhut, Holger,
Teschke, Gerd,
Teschke, Gerd,
author_facet Caselles, Vicent,
Caselles, Vicent,
Chambolle, Antonin,
Chambolle, Antonin,
Cremers, Daniel,
Cremers, Daniel,
Fornasier, Massimo,
Fornasier, Massimo,
Fornasier, Massimo,
Fornasier, Massimo,
Novaga, Matteo,
Novaga, Matteo,
Pock, Thomas,
Pock, Thomas,
Ramlau, Ronny,
Ramlau, Ronny,
Rauhut, Holger,
Rauhut, Holger,
Teschke, Gerd,
Teschke, Gerd,
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author_sort Caselles, Vicent,
title Theoretical Foundations and Numerical Methods for Sparse Recovery /
spellingShingle Theoretical Foundations and Numerical Methods for Sparse Recovery /
Radon Series on Computational and Applied Mathematics ,
Frontmatter --
Table of Contents --
Compressive Sensing and Structured Random Matrices --
Numerical Methods for Sparse Recovery --
Sparse Recovery in Inverse Problems --
An Introduction to Total Variation for Image Analysis
title_full Theoretical Foundations and Numerical Methods for Sparse Recovery / ed. by Massimo Fornasier.
title_fullStr Theoretical Foundations and Numerical Methods for Sparse Recovery / ed. by Massimo Fornasier.
title_full_unstemmed Theoretical Foundations and Numerical Methods for Sparse Recovery / ed. by Massimo Fornasier.
title_auth Theoretical Foundations and Numerical Methods for Sparse Recovery /
title_alt Frontmatter --
Table of Contents --
Compressive Sensing and Structured Random Matrices --
Numerical Methods for Sparse Recovery --
Sparse Recovery in Inverse Problems --
An Introduction to Total Variation for Image Analysis
title_new Theoretical Foundations and Numerical Methods for Sparse Recovery /
title_sort theoretical foundations and numerical methods for sparse recovery /
series Radon Series on Computational and Applied Mathematics ,
series2 Radon Series on Computational and Applied Mathematics ,
publisher De Gruyter,
publishDate 2010
physical 1 online resource (340 p.)
Issued also in print.
contents Frontmatter --
Table of Contents --
Compressive Sensing and Structured Random Matrices --
Numerical Methods for Sparse Recovery --
Sparse Recovery in Inverse Problems --
An Introduction to Total Variation for Image Analysis
isbn 9783110226157
9783110238570
9783110238471
9783110637205
9783110233544
9783110233551
9783110233636
9783110647174
9783110226140
issn 1865-3707 ;
callnumber-first Q - Science
callnumber-subject QA - Mathematics
callnumber-label QA297
callnumber-sort QA 3297 T486 42010
url https://doi.org/10.1515/9783110226157
https://www.degruyter.com/isbn/9783110226157
https://www.degruyter.com/document/cover/isbn/9783110226157/original
illustrated Not Illustrated
dewey-hundreds 500 - Science
dewey-tens 510 - Mathematics
dewey-ones 512 - Algebra
dewey-full 512.9/434
dewey-sort 3512.9 3434
dewey-raw 512.9/434
dewey-search 512.9/434
doi_str_mv 10.1515/9783110226157
oclc_num 659500627
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Title is part of eBook package: De Gruyter E-BOOK GESAMTPAKET / COMPLETE PACKAGE 2010
Title is part of eBook package: De Gruyter E-BOOK PACKAGE ENGLISH LANGUAGES TITLES 2010
Title is part of eBook package: De Gruyter E-BOOK PAKET SCIENCE TECHNOLOGY AND MEDICINE 2010
Title is part of eBook package: De Gruyter Radon Series on Applied Mathematics eBook-Package
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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</subfield></datafield><datafield tag="530" ind1=" " ind2=" "><subfield code="a">Issued also in print.</subfield></datafield><datafield tag="538" ind1=" " ind2=" "><subfield code="a">Mode of access: Internet via World Wide Web.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">In English.</subfield></datafield><datafield tag="588" ind1="0" ind2=" "><subfield code="a">Description based on online resource; title from PDF title page (publisher's Web site, viewed 28. 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