Skip to main content

Biorthogonality in Approximation

  • Chapter
Multivariate Approximation Theory II

Abstract

Numerical approximation can be carried out by ascent or descent methods — or in a more explicit way by expansion methods (like truncation, telescoping, pre-iteration). We use general biorthogonal systems (BOGS) to describe procedures of the latter type. This setting leads easily to useful results and provides good insight. The basic task is to improve or shorten a given expression by changing the coefficients. Thereby one employs information comprised in the elements and functionals of the BOGS, More specifically we consider expansions of Fourier (Chebyshev) type in the univariate and bivariate case.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. de Boor, C. (1978) The approximation of functions and linear functionals: best vs. good approximation. Proc. Symp. Appl. Math., Vol. 53–70.

    Google Scholar 

  2. HauBmann, W., Luik, E., Zeller, K. (1982) Cubature remainder and biorthogonal systems. This volume.

    Google Scholar 

  3. Hollenhorst, M. (1981) Improved lower and upper bounds in polynomial Chebyshev approximation based on a pre-iteration formula. J. Approx. Theory 32, 170–188.

    Article  MathSciNet  MATH  Google Scholar 

  4. Hornecker, G. (1958) Evaluation approchée de la meilleure approximation polynômiale d’ordre n de f(x) sur un segment fini [a,b]. Chiffres 1, 157–169.

    MathSciNet  Google Scholar 

  5. Mason, J.C. (1980) Near-best multivariate approximation by Fourier series, Chebyshev series and Chebyshev interpolation. J. Approx. Theory 349–358.

    Google Scholar 

  6. Meinardus, G. (1964) Approximation von Funktionen und ihre numerische Behandlung (Springer, Berlin).

    Book  MATH  Google Scholar 

  7. Nussbaumer, H.J. (1981) Fast Fourier transform and convolution algorithms (Springer, Berlin).

    MATH  Google Scholar 

  8. Scherer, R., Zeller, K. (1982) Floppy vs. fussy approximation. Internat. Ser. Numer. Math., Vol. 171–178.

    Google Scholar 

  9. Watson, G.A. (1980) Approximation theory and numerical methods (John Wiley & Sons, Chichester).

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1982 Birkhäuser Verlag Basel

About this chapter

Cite this chapter

Haußmann, W., Luik, E., Zeller, K. (1982). Biorthogonality in Approximation. In: Schempp, W., Zeller, K. (eds) Multivariate Approximation Theory II. International Series of Numerical Mathematics / Internationale Schriftenreihe zur Numerischen Mathematik / Série internationale d’Analyse numérique, vol 61. Birkhäuser Basel. https://doi.org/10.1007/978-3-0348-7189-1_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-0348-7189-1_15

  • Publisher Name: Birkhäuser Basel

  • Print ISBN: 978-3-0348-7191-4

  • Online ISBN: 978-3-0348-7189-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics