Approximation Theory and Algorithms for Data Analysis: 68 (Texts in Applied Mathematics, 68) - Image 1

£47.20

Springer Approximation Theory and Algorithms for Data Analysis: 68 (Texts in Applied Mathematics, 68)

Name: Approximation Theory and Algorithms for Data Analysis: 68 (Texts in Applied Mathematics, 68)
Brand: Springer
Price: 45.71 GBP
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Computer Science

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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.

Product Specifications

Brand: Springer
Format: Hardcover
ASIN: 3030052273
Category: Books > Subjects > Computing & Internet > Computer Science
Domain: Amazon UK
Release Date: 03 January 2019
Listed Since: 15 November 2018

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Springer Approximation Theory and Algorithms for Data Analysis: 68 (Texts in Applied Mathematics, 68)

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