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Mathematics of Approximation (Hardcover, 2012 ed.) Loot Price: R2,278
Discovery Miles 22 780
Mathematics of Approximation (Hardcover, 2012 ed.): Johan De Villiers

Mathematics of Approximation (Hardcover, 2012 ed.)

Johan De Villiers

Series: Mathematics Textbooks for Science and Engineering, 1

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Loot Price R2,278 Discovery Miles 22 780 | Repayment Terms: R213 pm x 12*

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The approximation of a continuous function by either an algebraic polynomial, a trigonometric polynomial, or a spline, is an important issue in application areas like computer-aided geometric design and signal analysis. This book is an introduction to the mathematical analysis of such approximation, and, with the prerequisites of only calculus and linear algebra, the material is targeted at senior undergraduate level, with a treatment that is both rigorous and self-contained. The topics include polynomial interpolation; Bernstein polynomials and the Weierstrass theorem; best approximations in the general setting of normed linear spaces and inner product spaces; best uniform polynomial approximation; orthogonal polynomials; Newton-Cotes, Gauss and Clenshaw-Curtis quadrature; the Euler-Maclaurin formula; approximation of periodic functions; the uniform convergence of Fourier series; spline approximation, with an extensive treatment of local spline interpolation, and its application in quadrature. Exercises are provided at the end of each chapter

General

Imprint: Atlantis Press (Zeger Karssen)
Country of origin: Netherlands
Series: Mathematics Textbooks for Science and Engineering, 1
Release date: July 2012
First published: 2012
Authors: Johan De Villiers
Dimensions: 235 x 155 x 23mm (L x W x T)
Format: Hardcover
Pages: 406
Edition: 2012 ed.
ISBN-13: 978-9491216497
Categories: Books > Science & Mathematics > Mathematics > Numerical analysis
Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Science & Mathematics > Mathematics > Algebra > General
Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Differential equations
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LSN: 949121649X
Barcode: 9789491216497

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