Sparse Approximation with Bases

This book systematically presents recent fundamental results on greedy approximation with respect to bases. Motivated by numerous applications, the last decade has seen great successes in studying nonlinear sparse approximation. Recent findings have established that greedy-type algorithms are suitab...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Temlyakov, Vladimir (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Tikhonov, Sergey (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Basel : Springer Basel : Imprint: Birkhäuser, 2015.
Σειρά:Advanced Courses in Mathematics - CRM Barcelona,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Temlyakov, Vladimir.  |e author. 
245 1 0 |a Sparse Approximation with Bases  |h [electronic resource] /  |c by Vladimir Temlyakov ; edited by Sergey Tikhonov. 
264 1 |a Basel :  |b Springer Basel :  |b Imprint: Birkhäuser,  |c 2015. 
300 |a XI, 261 p.  |b online resource. 
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490 1 |a Advanced Courses in Mathematics - CRM Barcelona,  |x 2297-0304 
505 0 |a Introduction -- Lebesgue-type inequalities for greedy approximation with respect to some classical bases -- Quasi-greedy bases and Lebesgue-type inequalities -- Almost greedy bases and duality -- Greedy approximation with respect to the trigonometric system -- Greedy approximation with respect to dictionaries -- Appendix. 
520 |a This book systematically presents recent fundamental results on greedy approximation with respect to bases. Motivated by numerous applications, the last decade has seen great successes in studying nonlinear sparse approximation. Recent findings have established that greedy-type algorithms are suitable methods of nonlinear approximation in both sparse approximation with respect to bases and sparse approximation with respect to redundant systems. These insights, combined with some previous fundamental results, form the basis for constructing the theory of greedy approximation. Taking into account the theoretical and practical demand for this kind of theory, the book systematically elaborates a theoretical framework for greedy approximation and its applications.  The book addresses the needs of researchers working in numerical mathematics, harmonic analysis, and functional analysis. It quickly takes the reader from classical results to the latest frontier, but is written at the level of a graduate course and does not require a broad background in the field. 
650 0 |a Mathematics. 
650 0 |a Approximation theory. 
650 0 |a Functional analysis. 
650 0 |a Algorithms. 
650 1 4 |a Mathematics. 
650 2 4 |a Approximations and Expansions. 
650 2 4 |a Functional Analysis. 
650 2 4 |a Algorithms. 
700 1 |a Tikhonov, Sergey.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783034808897 
830 0 |a Advanced Courses in Mathematics - CRM Barcelona,  |x 2297-0304 
856 4 0 |u http://dx.doi.org/10.1007/978-3-0348-0890-3  |z Full Text via HEAL-Link 
912 |a ZDB-2-SMA 
950 |a Mathematics and Statistics (Springer-11649)