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Local Smoothing for Scattered and Noisy Data

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Multivariate Approximation Theory III

Part of the book series: International Series of Numerical Mathematics ((ISNM,volume 75))

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Abstract

We make use of local methods to estimate a function from experimental measures; we study the approximation error. For what deals the width of the local support, for a specific application, we formalize a criterium already found experimentally.

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References

  1. M. Bozzini, L. Lenarduzzi: “Approssimazione multivariabile e ri conoscimento di forme”. Rendic. Ist. Lomb. 113 (4979)

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Author information

Authors and Affiliations

  1. Istituto di Matematica, Università di Milano, via Saldini 50, 20133, Milano, Italy

    Prof. Mira Bozzini

  2. Istituto Applicazioni Matematica ed Informatica, C.N.R., via Cicognara 7, 20129, Milano, Italy

    Dr. Licia Lenarduzzi

Authors
  1. Prof. Mira Bozzini
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  2. Dr. Licia Lenarduzzi
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Editor information

Editors and Affiliations

  1. Lehrstuhl für Mathematik I, Universität Siegen, Hölderlinstrasse 3, D-5900, Siegen, Germany

    Walter Schempp

  2. Mathematisches Institut, Universität Tübingen, Auf der Morgenstelle 10, D-7400, Tübingen, Germany

    Karl Zeller

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© 1985 Birkhäuser Verlag Basel

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Bozzini, M., Lenarduzzi, L. (1985). Local Smoothing for Scattered and Noisy Data. In: Schempp, W., Zeller, K. (eds) Multivariate Approximation Theory III. International Series of Numerical Mathematics, vol 75. Birkhäuser Basel. https://doi.org/10.1007/978-3-0348-9321-3_7

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  • DOI: https://doi.org/10.1007/978-3-0348-9321-3_7

  • Publisher Name: Birkhäuser Basel

  • Print ISBN: 978-3-0348-9995-6

  • Online ISBN: 978-3-0348-9321-3

  • eBook Packages: Springer Book Archive

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