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Birkhäuser

Multivariate Polynomial Approximation

  • Book
  • © 2003

Overview

  • New access to Appell polynomials via an elementary biorthonormal system defined by the reproducing kernel of spherical harmonics
  • Comprehensive introduction to generalized hyperinterpolation
  • Contains introduction to tomography

Part of the book series: International Series of Numerical Mathematics (ISNM, volume 144)

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Table of contents (8 chapters)

  1. Introduction

  2. Approximation Means

  3. Multivariate Approximation

  4. Applications

Keywords

About this book

Multivariate polynomials are a main tool in approximation. The book begins with an introduction to the general theory by presenting the most important facts on multivariate interpolation, quadrature, orthogonal projections and their summation, all treated under a constructive view, and embedded in the theory of positive linear operators. On this background, the book gives the first comprehensive introduction to the recently developped theory of generalized hyperinterpolation. As an application, the book gives a quick introduction to tomography. Several parts of the book are based on rotation principles, which are presented in the beginning of the book, together with all other basic facts needed.

Authors and Affiliations

  • Fachbereich Mathematik, Universität Dortmund, Dortmund, Germany

    Manfred Reimer

Bibliographic Information

  • Book Title: Multivariate Polynomial Approximation

  • Authors: Manfred Reimer

  • Series Title: International Series of Numerical Mathematics

  • DOI: https://doi.org/10.1007/978-3-0348-8095-4

  • Publisher: Birkhäuser Basel

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Basel AG 2003

  • Hardcover ISBN: 978-3-7643-1638-9Published: 25 August 2003

  • Softcover ISBN: 978-3-0348-9436-4Published: 02 November 2012

  • eBook ISBN: 978-3-0348-8095-4Published: 06 December 2012

  • Series ISSN: 0373-3149

  • Series E-ISSN: 2296-6072

  • Edition Number: 1

  • Number of Pages: X, 358

  • Topics: Approximations and Expansions, Numerical Analysis

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