Orthogonal Polynomials

Name: Orthogonal Polynomials
Brand: Oxford University Press
SKU: 9780198506720
Price: 68271 HUF
Availability: InStock

Computation and Approximation

Szerző: Walter Gautschi

Nyelv:

Kötés: Kemény kötésű

Kiadó: Oxford University Press

Elérhetőség: Beszállítói készleten

Küldés 10-18 napon belül

68 271 Ft

This is the first book on constructive methods for, and applications of orthogonal polynomials, and...

Információk a könyvről

Szerző

Walter Gautschi

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2004

oldal

312

EAN

9780198506720

ISBN

0198506724

Enbook ID

04526901

Kiadó

Oxford University Press

Súly

608

Méretek

174 x 243 x 29

Teljes leírás

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.

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Orthogonal Polynomials

Computation and Approximation

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