Mohlo by se vám také líbit

Více informací o knize Approximation Theory and Algorithms for Data Analysis

• Parametry knihy
• Anotace
• Oblíbené z jiného soudku

Nákupem získáte 138 bodů

Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Mathematics & science Mathematics Calculus & mathematical analysis

• Plný název: Approximation Theory and Algorithms for Data Analysis
• Autor: Armin Iske
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 358
• EAN: 9783030052270
• ID: 20745796
• Nakladatelství: Springer Nature Switzerland AG
• Hmotnost: 736 g
• Rozměry: 242 × 166 × 22 mm
• Datum vydání: 03. January 2019

Oblíbené z jiného soudku

---

---

---