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Книга Approximation Theory and Algorithms for Data Analysis Armin Iske

Approximation Theory and Algorithms for Data Analysis

Автор: Armin Iske
Език: Английски език
Корици: С твърди корици
Издател: Springer Nature Switzerland AG
Наличност: Външен склад
Изпращаме след 10-13 дни
62.02 € 121.30 лв
This textbook offers an accessible introduction to the theory and numerics of approximation methods,...

Информация за книгата

Автор
Armin Iske
Език
Английски език
Корици
Книга - С твърди корици
Издадена
2019
страници
358
EAN
9783030052270
Enbook ID
20745796
Издател
Springer Nature Switzerland AG
Теглоt
736
Размери
166 x 242 x 22

Пълно описание

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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