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Approximation Theory and Algorithms for Data Analysis (Texts in Applied Mathematics, 68) - Hardcover
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
...About the Author
Armin Iske is professor of numerical approximation at the Department of Mathematics of the University of Hamburg.
From the Back Cover
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...
"About this title" may belong to another edition of this title.
- PublisherSpringer
- Publication date2019
- ISBN 10 3030052273
- ISBN 13 9783030052270
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages368
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