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Cambridge University Press Multivariate Approximation: 32 (Cambridge Monographs on Applied and Computational Mathematics, Series Number 32)

Name: Multivariate Approximation: 32 (Cambridge Monographs on Applied and Computational Mathematics, Series Number 32)
Brand: Cambridge University Press

Computer Science

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This self-contained, systematic treatment of multivariate approximation begins with classical linear approximation, and moves on to contemporary nonlinear approximation. It covers substantial new developments in the linear approximation theory of classes with mixed smoothness, and shows how it is directly related to deep problems in other areas of mathematics. For example, numerical integration of these classes is closely related to discrepancy theory and to nonlinear approximation with respect to special redundant dictionaries, and estimates of the entropy numbers of classes with mixed smoothness are closely related to (in some cases equivalent to) the Small Ball Problem from probability theory. The useful background material included in the book makes it accessible to graduate students. Researchers will find that the many open problems in the theory outlined in the book provide helpful directions and guidance for their own research in this exciting and active area.

Product Specifications

Brand: Cambridge University Press
Format: Hardcover
ASIN: 1108428754
Category: Books > Subjects > Computing & Internet > Computer Science
Domain: Amazon UK
Release Date: 19 July 2018
Listed Since: 05 November 2017

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Cambridge University Press Multivariate Approximation: 32 (Cambridge Monographs on Applied and Computational Mathematics, Series Number 32)

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