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Approximation Theory and Algorithms for Data Analysis: 68 (Texts in Applied Mathematics) - Tapa dura
Sinopsis
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.
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Armin Iske is professor of numerical approximation at the Department of Mathematics of the University of Hamburg.
De la contraportada
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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Approximation theory and algorithms for data analysis.
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Cham, Springer, 2018
ISBN 10: 3030052273
ISBN 13: 9783030052270
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Librería: Antiquariat Bookfarm, Löbnitz, Alemania
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Hardcover. X, 358eiten, 34 illu S. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. Ex-library with stamp and library-signature. GOOD condition, some traces of use. AB-8188 9783030052270 Sprache: Englisch Gewicht in Gramm: 550. Nº de ref. del artículo: 2382050
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Approximation Theory and Algorithms for Data Analysis
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Condición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. Nº de ref. del artículo: ABNR-27198
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Approximation Theory and Algorithms for Data Analysis
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HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: S0-9783030052270
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Approximation Theory and Algorithms for Data Analysis (Texts in Applied Mathematics, 68)
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Approximation Theory and Algorithms for Data Analysis
Publicado por
Springer International Publishing Jan 2019, 2019
ISBN 10: 3030052273
ISBN 13: 9783030052270
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 tomographyProviding 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. 368 pp. Englisch. Nº de ref. del artículo: 9783030052270
Cantidad disponible: 2 disponibles
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Approximation Theory and Algorithms for Data Analysis
Publicado por
Springer International Publishing, 2019
ISBN 10: 3030052273
ISBN 13: 9783030052270
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Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Clear and comprehensible introduction to approximation theory and its applicationsOffers a constructive approach to methods and algorithmsContains a large number of examples and exercises. Nº de ref. del artículo: 256207784
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Approximation Theory and Algorithms for Data Analysis
Publicado por
Springer International Publishing, 2019
ISBN 10: 3030052273
ISBN 13: 9783030052270
Nuevo
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 tomographyProviding 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. Nº de ref. del artículo: 9783030052270
Cantidad disponible: 1 disponibles
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Approximation Theory and Algorithms for Data Analysis (Texts in Applied Mathematics, 68)
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Condición: New. 1st ed. 2018 edition NO-PA16APR2015-KAP. Nº de ref. del artículo: 26376776107
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Approximation Theory and Algorithms for Data Analysis (Texts in Applied Mathematics, 68)
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Condición: New. Nº de ref. del artículo: I-9783030052270
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Approximation Theory and Algorithms for Data Analysis
Impresión bajo demandaLibrería: Revaluation Books, Exeter, Reino Unido
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Hardcover. Condición: Brand New. 358 pages. 9.50x6.50x1.00 inches. In Stock. This item is printed on demand. Nº de ref. del artículo: __3030052273
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