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

Iske, Armin

ISBN 10: 3030052273 / ISBN 13: 9783030052270

Edité par Springer, 2019

A propos de cet article

1st ed. 2018 edition NO-PA16APR2015-KAP.

N° de réf. du vendeur 26376776107

Détails bibliographiques

• Titre: Approximation Theory and Algorithms for Data Analysis (Texts in Applied Mathematics, 68)
• Éditeur: Springer
• Date de parution: 2019
• Langue: anglais
• ISBN à 10 chiffres: 3030052273
• ISBN à 13 chiffres: 9783030052270
• Reliure: Couverture rigide
• État de l'article: New

A propos de ce titre

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.

À propos de l?auteur

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