Hyperbolic Cross Approximation

This book provides a systematic survey of classical and recent results on hyperbolic cross approximation. Motivated by numerous applications, the last two decades have seen great success in studying multivariate approximation. Multivariate problems have proven to be considerably more difficult than...

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Bibliographic Details
Main Authors: Dũng, Dinh, Temlyakov, Vladimir (Author), Ullrich, Tino (Author)
Other Authors: Tikhonov, Sergey (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2018, 2018
Edition:1st ed. 2018
Series:Advanced Courses in Mathematics - CRM Barcelona
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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100 1 |a Dũng, Dinh 
245 0 0 |a Hyperbolic Cross Approximation  |h Elektronische Ressource  |c by Dinh Dũng, Vladimir Temlyakov, Tino Ullrich ; edited by Sergey Tikhonov 
250 |a 1st ed. 2018 
260 |a Cham  |b Springer International Publishing  |c 2018, 2018 
300 |a XI, 218 p. 24 illus., 11 illus. in color  |b online resource 
505 0 |a Introduction -- Trigonometric polynomials -- Function spaces on T d -- Linear approximation -- Sampling recovery -- Entropy numbers -- Best m-term approximation -- Numerical integration -- Related problems -- High-dimensional approximation -- Appendix 
653 |a Approximations and Expansions 
653 |a Numerical analysis 
653 |a Numerical Analysis 
653 |a Approximation theory 
700 1 |a Temlyakov, Vladimir  |e [author] 
700 1 |a Ullrich, Tino  |e [author] 
700 1 |a Tikhonov, Sergey  |e [editor] 
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490 0 |a Advanced Courses in Mathematics - CRM Barcelona 
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520 |a This book provides a systematic survey of classical and recent results on hyperbolic cross approximation. Motivated by numerous applications, the last two decades have seen great success in studying multivariate approximation. Multivariate problems have proven to be considerably more difficult than their univariate counterparts, and recent findings have established that multivariate mixed smoothness classes play a fundamental role in high-dimensional approximation. The book presents essential findings on and discussions of linear and nonlinear approximations of the mixed smoothness classes. Many of the important open problems explored here will provide both students and professionals with inspirations for further research