Approximation Theory and Algorithms for Data Analysis

Language: English

Published by Springer, Palgrave Macmillan Jan 2019, 2019

3030052273 / 9783030052270

Series: Book 43 of 55 - Texts in Applied Mathematics

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This item is printed on demand - Print on Demand Titel. Neuware -This textbook offers an accessible introduction to the theory and numerics of approximation methods, combining classical topics of approximation with recent advances in mathematical signal processing, and adopting a constructive approach, in which the development of numerical algorithms for data analysis plays an important role.The following topics are covered:\* least-squares approximation and regularization methods\* interpolation by algebraic and trigonometric polynomials\* basic results on best approximations\* Euclidean approximation\* Chebyshev approximation\* asymptotic concepts: error estimates and convergence rates\* signal approximation by Fourier and wavelet methods\* kernel-based multivariate approximation\* approximation methods in computerized tomographyProviding numerous supporting examples, graphical illustrations, and carefully selected exercises, this textbook is suitable for introductory courses, seminars, and distance learning programs on approximation for undergraduate students.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 368 pp. Englisch.

Seller Inventory # 9783030052270

Title
Approximation Theory and Algorithms for Data Analysis
Author
Armin Iske
Publisher
Springer, Palgrave Macmillan Jan 2019
Publication year
2019
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3030052273
ISBN 13
9783030052270
Item weight
717 grams
Dimensions
241x160x26 mm
Series
Book 43 of 55: Texts in Applied Mathematics

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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