Approximation Theory and Approximation Practice

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SIAM, Jan 3, 2013 - Mathematics - 318 pages
This book presents a twenty-first century approach to classical polynomial and rational approximation theory. The reader will find a strikingly original treatment of the subject, completely unlike any of the existing literature on approximation theory, with a rich set of both computational and theoretical exercises for the classroom. There are many original features that set this book apart: the emphasis is on topics close to numerical algorithms; every idea is illustrated with Chebfun examples; each chapter has an accompanying Matlab file for the reader to download; the text focuses on theorems and methods for analytic functions; original sources are cited rather than textbooks, and each item in the bibliography is accompanied by an editorial comment. This textbook is ideal for advanced undergraduates and graduate students across all of applied mathematics.
 

Contents

Introduction
1
Chebyshev Points and Interpolants
7
Chebyshev Polynomials and Series
13
Interpolants Projections and Aliasing
25
Barycentric Interpolation Formula
33
Weierstrass Approximation Theorem
43
Convergence for Differentiable Functions
49
Convergence for Analytic Functions
55
ClenshawCurtis and Gauss Quadrature
143
CarathéodoryFejér Approximation
155
Spectral Methods
165
Beyond Polynomials
177
Why Rational Functions?
189
Rational Best Approximation
199
Two Famous Problems
209
Rational Interpolation and Linearized LeastSquares
221

Gibbs Phenomenon
63
Best Approximation
73
Hermite Integral Formula
81
Potential Theory and Approximation
89
Equispaced Points Runge Phenomenon
95
Discussion of HighOrder Interpolation
103
Lebesgue Constants
107
Best and NearBest
117
Orthogonal Polynomials
123
Polynomial Roots and Colleague Matrices
133
Padé Approximation
235
Analytic Continuation and Convergence Acceleration
251
Six Myths of Polynomial Interpolation and Quadrature
263
References
273
25 33 43 49 55 63 73
299
81
300
95
301
107
302
8
303
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About the author (2013)

Nick Trefethen is Professor of Numerical Analysis at the University of Oxford and a Fellow of the Royal Society. During 2011–12 he served as President of SIAM.

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