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Approximation Theory and Algorithms for Data Analysis: 68 (Texts in Applied Mathematics) - Hardcover
Inhaltsangabe
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.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Über die Autorin bzw. den Autor
Armin Iske is professor of numerical approximation at the Department of Mathematics of the University of Hamburg.
Von der hinteren Coverseite
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.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
- VerlagSpringer
- Erscheinungsdatum2019
- ISBN 10 3030052273
- ISBN 13 9783030052270
- EinbandTapa dura
- SpracheEnglisch
- Auflage1
- Anzahl der Seiten370
- Kontakt zum HerstellerNicht verfügbar
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Approximation theory and algorithms for data analysis.
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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. Bestandsnummer des Verkäufers 2382050
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Approximation Theory and Algorithms for Data Analysis
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Springer International Publishing, 2019
ISBN 10: 3030052273
ISBN 13: 9783030052270
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Gebunden. Zustand: 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. Bestandsnummer des Verkäufers 256207784
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Approximation Theory and Algorithms for Data Analysis
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Approximation Theory and Algorithms for Data Analysis
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Approximation Theory and Algorithms for Data Analysis
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Approximation Theory and Algorithms for Data Analysis
Verlag:
Springer International Publishing, 2019
ISBN 10: 3030052273
ISBN 13: 9783030052270
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Buch. Zustand: 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. Bestandsnummer des Verkäufers 9783030052270
Anzahl: 1 verfügbar
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Approximation Theory and Algorithms for Data Analysis
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Springer International Publishing Jan 2019, 2019
ISBN 10: 3030052273
ISBN 13: 9783030052270
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Buch. Zustand: 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. Bestandsnummer des Verkäufers 9783030052270
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Approximation Theory and Algorithms for Data Analysis
ISBN 10: 3030052273
ISBN 13: 9783030052270
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Buch. Zustand: Neu. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 368 pp. Englisch. Bestandsnummer des Verkäufers 9783030052270
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Approximation Theory and Algorithms for Data Analysis
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Approximation Theory and Algorithms for Data Analysis (Texts in Applied Mathematics, 68)
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