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Approximation Theory and Algorithms for Data Analysis

Language EnglishEnglish
Book Hardback
Book Approximation Theory and Algorithms for Data Analysis Armin Iske
Libristo code: 20745796
Publishers Springer Nature Switzerland AG, January 2019
This textbook offers an accessible introduction to the theory and numerics of approximation methods,... Full description
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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.

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About the book

Full name Approximation Theory and Algorithms for Data Analysis
Author Armin Iske
Language English
Binding Book - Hardback
Date of issue 2019
Number of pages 358
EAN 9783030052270
Libristo code 20745796
Weight 736
Dimensions 166 x 242 x 22
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