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100%: Walter de Gruyter: Theoretical Foundations and Numerical Methods for Sparse Recovery (ISBN: 9783110226157) 2010, in Englisch, Taschenbuch.Nur diese Ausgabe anzeigen…
100%: De Gruyter: Theoretical Foundations and Numerical Methods for Sparse Recovery Massimo Fornasier Editor (ISBN: 9783110226140) Erstausgabe, in Englisch, Broschiert.Nur diese Ausgabe anzeigen…
Theoretical Foundations and Numerical Methods for Sparse Recovery
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1
Symbolbild
Theoretical Foundations and Numerical Methods for Sparse Recovery
DE HC NWISBN: 9783110226140 bzw. 3110226146, in Deutsch, Walter de Gruyter, gebundenes Buch, neu.
Von Händler/Antiquariat, BuySomeBooks [52360437], Las Vegas, NV, U.S.A.
Hardcover. 340 pages. Dimensions: 9.5in. x 6.8in. x 1.0in.The present collection of four lecture notes 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. This unique collection will be of value for a broad community and may serve as a textbook for graduate courses. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN.
Hardcover. 340 pages. Dimensions: 9.5in. x 6.8in. x 1.0in.The present collection of four lecture notes 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. This unique collection will be of value for a broad community and may serve as a textbook for graduate courses. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN.
2
Symbolbild
Theoretical Foundations and Numerical Methods for Sparse Recovery (2010)
DE NWISBN: 9783110226140 bzw. 3110226146, in Deutsch, Walter De Gmbh Gruyter Jul 2010, neu.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
Neuware - The present collection of four lecture notes 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. This unique collection will be of value for a broad community and may serve as a textbook for graduate courses. 340 pp. Englisch.
Neuware - The present collection of four lecture notes 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. This unique collection will be of value for a broad community and may serve as a textbook for graduate courses. 340 pp. Englisch.
3
Theoretical Foundations and Numerical Methods for Sparse Recovery (2010)
~EN NW EBISBN: 9783110226157 bzw. 3110226154, vermutlich in Englisch, Walter de Gruyter GmbH & Co.KG, neu, E-Book.
Lieferung aus: Schweiz, Sofort per Download lieferbar.
Theoretical Foundations and Numerical Methods for Sparse Recovery, The present collection of four lecture notes 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. This unique collection will be of value for a broad community and may serve as a textbook for graduate courses. Massimo Fornasier, Johann Radon Institute for Computational and Applied Mathematics, Linz, Austria. PDF, 30.07.2010.
Theoretical Foundations and Numerical Methods for Sparse Recovery, The present collection of four lecture notes 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. This unique collection will be of value for a broad community and may serve as a textbook for graduate courses. Massimo Fornasier, Johann Radon Institute for Computational and Applied Mathematics, Linz, Austria. PDF, 30.07.2010.
4
Theoretical Foundations and Numerical Methods for Sparse Recovery (2010)
~EN NW EBISBN: 9783110226157 bzw. 3110226154, vermutlich in Englisch, Walter de Gruyter GmbH & Co.KG, neu, E-Book.
Theoretical Foundations and Numerical Methods for Sparse Recovery The present collection of four lecture notes 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. This unique collection will be of value for a broad community and may serve as a textbook for graduate courses. Massimo Fornasier, Johann Radon Institute for Computational and Applied Mathematics, Linz, Austria. 30.07.2010, PDF.
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Theoretical Foundations and Numerical Methods for Sparse Recovery
~EN NW EB DLISBN: 9783110226157 bzw. 3110226154, vermutlich in Englisch, De Gruyter, neu, E-Book, elektronischer Download.
Lieferung aus: Deutschland, Versandkostenfrei.
Theoretical Foundations and Numerical Methods for Sparse Recovery: The present collection of four lecture notes 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. This unique collection will be of value for a broad community and may serve as a textbook for graduate courses. Englisch, Ebook.
Theoretical Foundations and Numerical Methods for Sparse Recovery: The present collection of four lecture notes 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. This unique collection will be of value for a broad community and may serve as a textbook for graduate courses. Englisch, Ebook.
6
Theoretical Foundations and Numerical Methods for Sparse Recovery (2010)
~EN NW EBISBN: 9783110226157 bzw. 3110226154, vermutlich in Englisch, Walter de Gruyter, neu, E-Book.
Lieferung aus: Deutschland, Sofort per Download lieferbar.
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, PDF, 30.07.2010.
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, PDF, 30.07.2010.
7
Theoretical Foundations and Numerical Methods for Sparse Recovery (2010)
~EN NW EBISBN: 9783110226157 bzw. 3110226154, vermutlich in Englisch, Walter de Gruyter, neu, E-Book.
Lieferung aus: Schweiz, Sofort per Download lieferbar.
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, 30.07.2010.
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, 30.07.2010.
8
Theoretical Foundations and Numerical Methods for Sparse Recovery (2010)
~EN NWISBN: 9783110226140 bzw. 3110226146, vermutlich in Englisch, De Gruyter, neu.
Lieferung aus: Schweiz, Versandfertig innert 1 - 2 Werktagen.
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, gebundene Ausgabe, 16.07.2010.
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, gebundene Ausgabe, 16.07.2010.
9
Theoretical Foundations and Numerical Methods for Sparse Recovery Massimo Fornasier Editor (2009)
~EN HC NWISBN: 9783110226140 bzw. 3110226146, vermutlich in Englisch, De Gruyter, gebundenes Buch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, Lagernd, zzgl. Versandkosten.
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.
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.
10
Theoretical Foundations and Numerical Methods for Sparse Recovery (2009)
~EN NWISBN: 9783110226140 bzw. 3110226146, vermutlich in Englisch, de Gruyter, Berlin/New York, Deutschland, neu.
Lieferung aus: Kanada, Lagernd, zzgl. Versandkosten.
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.
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.
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