Fr. 92.00

Mathematics of Approximation

English · Hardback

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Description

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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

List of contents

Polynomial Interpolation Formulas.- Error Analysis For Polynomial Interpolation.- Polynomial Uniform Convergence.- Best Approximation.- Approximation Operators.- Best Uniform Polynomial Approximation.- Orthogonality.- Interpolatory Quadrature.- Approximation of Periodic Functions.- Spline Approximation.

Summary

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

Additional text

From the reviews:
“The current book presents a compilation of lecture notes delivered by Professor Johan de Villiers at Stellen Bosch University, South Africa. This hardbound treatise titled Mathematics of approximation is a reader-friendly volume spanning over 425 pages. … The content is self-contained and can be used for both classroom teaching and self-study. … The theory is illustrated by a number of solved examples. This is one of the many graces of the book.” (Sarjoo Prasad Yadav, Mathematical Reviews, February, 2013)

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From the reviews:
"The current book presents a compilation of lecture notes delivered by Professor Johan de Villiers at Stellen Bosch University, South Africa. This hardbound treatise titled Mathematics of approximation is a reader-friendly volume spanning over 425 pages. ... The content is self-contained and can be used for both classroom teaching and self-study. ... The theory is illustrated by a number of solved examples. This is one of the many graces of the book." (Sarjoo Prasad Yadav, Mathematical Reviews, February, 2013)

Product details

Authors Johan De Villiers, Johan de Villiers
Publisher Springer, Berlin
 
Languages English
Product format Hardback
Released 14.12.2011
 
EAN 9789491216497
ISBN 978-94-91-21649-7
No. of pages 406
Weight 798 g
Illustrations XXI, 406 p.
Series Atlantis Studies in Mathematics
Mathematics Textbooks for Science and Engineering
Atlantis Press
Atlantis Press
Mathematics Textbooks for Science and Engineering
Atlantis Studies in Mathematics
Subject Natural sciences, medicine, IT, technology > Mathematics > Analysis

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