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Bibliographic Details

Title

Approximation Theory and Algorithms for Data Analysis

Publisher

Springer

Publication Date

2019

Language

English

ISBN 10

3030052273

ISBN 13

9783030052270

Binding

Hardcover

Condition

New

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About this title

Synopsis

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.

About the Author

Armin Iske is professor of numerical approximation at the Department of Mathematics of the University of Hamburg.

"About this title" may belong to another edition of this title.

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