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Sparse Approximation with Bases

Sparse Approximation with Bases
Catalogue Information
Field name Details
Dewey Class 511.4
Title Sparse Approximation with Bases ([EBook]) / by Vladimir Temlyakov ; edited by Sergey Tikhonov.
Author Temlyakov, Vladimir , 1953-
Added Personal Name Tikhonov, Sergey
Other name(s) SpringerLink (Online service)
Publication Basel : Springer Basel , 2015
Physical Details XI, 261 p. : online resource.
Series Advanced courses in mathematics, CRM Barcelona 2297-0304
ISBN 9783034808903
Summary Note 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.:
Contents note 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.
System details note Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site http://dx.doi.org/10.1007/978-3-0348-0890-3
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