Orthogonal Polynomials: Computation and Approximation

by Walter Gautschi

Overview

This is the first book on constructive methods for, and applications of orthogonal polynomials, and the first available collection of relevant Matlab codes. The book begins with a concise introduction to the theory of polynomials orthogonal on the real line (or a portion thereof), relative to a positive measure of integration. Topics which are particularly relevant to computation are emphasized. The second chapter develops computational methods for generating the coefficients in the basic three-term recurrence relation. The methods are of two kinds: moment-based methods and discretization methods. The former are provided with a detailed sensitivity analysis. Other topics addressed concern Cauchy integrals of orthogonal polynomials and their computation, a new discussion of modification algorithms, and the generation of Sobolev orthogonal polynomials. The final chapter deals with selected applications: the numerical evaluation of integrals, especially by Gauss-type quadrature methods, polynomial least squares approximation, moment-preserving spline approximation, and the summation of slowly convergent series. Detailed historic and bibliographic notes are appended to each chapter. The book will be of interest not only to mathematicians and numerical analysts, but also to a wide clientele of scientists and engineers who perceive a need for applying orthogonal polynomials.

Product Details

ISBN-13:	9780198506720
Publisher:	Oxford University Press, USA
Publication date:	09/15/2004
Series:	Numerical Mathematics and Scientific Computation Series
Edition description:	New Edition
Pages:	312
Product dimensions:	9.30(w) x 6.30(h) x 0.90(d)

About the Author

Walter Gautshi is Professor Emeritus at Purdue University, USA.

Table of Contents

Basic Theory
1.1. Orthogonal polynomials
1.2. Properties of orthogonal polynomials
1.3. Three-term recurrence relation
1.4. Quadrature rules
1.5. Classical orthogonal polynomials
1.6. Kernal polynomials
1.7. Sobolev orthogonal polynomials
1.8. Orthogonal polynomials on the semicircle
1.9. Notes to chapter 1
Computational Methods
2.1. Moment-based methods
2.2. Discretization methods
2.3. Computing Cauchy integrals of orthogonal polynomials
2.4. Modification algorithms
2.5. Computing Sobolev orthogonal polynomials
2.6. Notes to chapter 2
Applications
3.1. Quadrature
3.2. Least squares approximation
3.3. Moment-preserving spline approximation
3.4. Slowly convergent series
3.5. Notes to chapter 3