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L 1 Spline Methods for Scattered Data Interpolation and Approximation

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Abstract

We generalize the L 1 spline methods proposed in [4, 5] for scattered data interpolation and fitting using bivariate spline spaces of any degree d and any smoothness r (of course, r<d) over any triangulation. Some numerical experiments are presented to illustrate the better performance of the L 1 spline methods as compared to the minimal energy method. We include some extensions for dealing with other surface design problems.

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References

  1. P. Bloomfield and W.L. Steiger, Least Absolute Deviations: Theory, Applications, and Algorithms (Birkhäuser, Boston, 1983).

    Google Scholar 

  2. G. Farin, Triangular Bernstein-Bézier patches, Comput. Aided Geom. Design 3 (1986) 83–127.

    Google Scholar 

  3. G. Fasshauer and L.L. Schumaker, Multi-patch parametric surfaces with minimal energy, Comput. Aided Geom. Design 13 (1996) 45–79.

    Google Scholar 

  4. J.E. Lavery, Shape-preserving, multiscale fitting of univariate data by cubic L 1 smoothing splines, Comput. Aided Geom. Design 17 (2000) 715–727.

    Google Scholar 

  5. J.E. Lavery, Shape-preserving, multiscale interpolation by bi-and multivariate cubic L 1 splines, Comput. Aided Geom. Design 18 (2001) 321–343.

    Google Scholar 

  6. M. Meketon, Least absolute value regression, Unpublished manuscript.

  7. R.J. Vanderbei, M.J. Meketon and B.A. Freedman, A modification of Karmarkar's linear programming algorithm, Algorithmica 1 (1986) 395–407.

    Google Scholar 

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Lai, MJ., Wenston, P. L 1 Spline Methods for Scattered Data Interpolation and Approximation. Advances in Computational Mathematics 21, 293–315 (2004). https://doi.org/10.1023/B:ACOM.0000032042.35918.c2

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  • DOI: https://doi.org/10.1023/B:ACOM.0000032042.35918.c2

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