Dinh Dũng Vladimir Temlyakov Tino Ullrich Dũng Hyperbolic Cross Approximation

Hyperbolic Cross Approximation

von Dinh Dũng Vladimir Temlyakov Tino Ullrich

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Beschreibung

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.


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.



Covers both classical results from the 1960s and very recent results on high-dimensional approximation Contains a number of short illustrative proofs Provides the first comprehensive survey on hyperbolic cross approximation of the mixed smoothness classes of multivariate functions

Autor*in

Dinh Dũng

Themen in »Hyperbolic Cross Approximation«

hyperbolic cross sparse grid mixed smoothness trigonometric polynomial linear approximation Kolmogorov width linear width orthowidth sampling recovery sampling width nonlinear approximation entropy number best m-term approximation numerical integration cubature formulas

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Details

ISBN: 9783319922409
Verlag: Springer International Publishing
Erscheinung: 02.11.2018

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