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On a numerically efficient method for computing multivariate B-splines

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Multivariate Approximation Theory

Abstract

In this paper an algorithm for the computation of smooth piecewise polynomials (multivariate B-spline) is given. The results of numerical calculation for twelve typical B-spline

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References

  1. A. Cavaretta, Charles A. Micchelli and A. Sharma, Multivariate approximation and the Radon Transform, in preparation.

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  2. Carl de Boor, Splines as linear combinations of B-splines in A survey in Approximation Theory II, Edited by G. G. Lorentz, C. K. Chui, L. L. Schumaker, Academic Press, 1976, 1–47.

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  3. W. Dahmen, On multivariate B-splines, to appear SIAM J. Numer. Anal.

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  4. Charles A. Micchelli, A constructive approach to Kergin interpolation in R, University of Wisconsin, Math Res. Center Report No. 1895, 1978, to appear in Rocky Mountain Journal of Mathematics as A constructive approach to Kergin interpolation in R : multivariate B-splines and Lagrange interpolation.

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© 1979 Springer Basel AG

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Micchelli, C.A. (1979). On a numerically efficient method for computing multivariate B-splines. In: Schempp, W., Zeller, K. (eds) Multivariate Approximation Theory. ISNM International Series of Numerical Mathematics / Internationale Schriftenreihe zur Numerischen Mathematik / Série Internationale D’Analyse Numérique, vol 51. Birkhäuser, Basel. https://doi.org/10.1007/978-3-0348-6289-9_14

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  • DOI: https://doi.org/10.1007/978-3-0348-6289-9_14

  • Publisher Name: Birkhäuser, Basel

  • Print ISBN: 978-3-7643-1102-5

  • Online ISBN: 978-3-0348-6289-9

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