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Approximation Theory and Algorithms for Data Analysis on Hardback by Armin Iske
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Approximation Theory and Algorithms for Data Analysis

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Description

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 tomography Providing 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.

Author Biography:

Armin Iske is professor of numerical approximation at the Department of Mathematics of the University of Hamburg.
Release date NZ
January 3rd, 2019
Author
Audience
  • Undergraduate
Edition
1st ed. 2018
Illustrations
15 Illustrations, color; 19 Illustrations, black and white; X, 358 p. 34 illus., 15 illus. in color.
Pages
358
ISBN-13
9783030052270
Product ID
28770230

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