Harmonic Analysis and Applications (Springer Optimization and Its Applications)

Springer
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9783030618896
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9783030618896
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This edited volume presents state-of-the-art developments in various areas in which Harmonic Analysis is applied. Contributions cover a variety of different topics and problems treated such as structure and optimization in computational harmonic analysis, sampling and approximation in shift invariant subspaces of L2(), optimal rank one matrix decomposition, the Riemann Hypothesis, large sets avoiding rough patterns, Hardy Littlewood series, NavierStokes equations, sleep dynamics exploration and automatic annotation by combining modern harmonic analysis tools, harmonic functions in slabs and half-spaces, Andoni Krauthgamer Razenshteyn characterization of sketchable norms fails for sketchable metrics, random matrix theory, multiplicative completion of redundant systems in Hilbert and Banach function spaces. Efforts have been made to ensure that the content of the book constitutes a valuable resource for graduate students as well as senior researchers working on Harmonic Analysis and its various interconnections with related areas.
  • | Author: Michael Th Rassias
  • | Publisher: Springer
  • | Publication Date: Apr 15, 2022
  • | Number of Pages: 368 pages
  • | Language: English
  • | Binding: Paperback
  • | ISBN-10: 3030618897
  • | ISBN-13: 9783030618896
Author:
Michael Th Rassias
Publisher:
Springer
Publication Date:
Apr 15, 2022
Number of pages:
368 pages
Language:
English
Binding:
Paperback
ISBN-10:
3030618897
ISBN-13:
9783030618896