Abstract

The well-known square mesh with both diagonals drawn in is generalized to the m-dimensional mesh Δ m generated by {(v 1, ..., v m ): v i ∈ {−1, 0, 1}, i = 1,...,m}. Sharp necessary and sufficient conditions on data at the vertices of Δ m are given that allow interpolation of the data by m-variate, C 1 piecewise polynomials of degree m + 1. For degree m + 2 and higher, values and normals at the vertices can be stably interpolated and a unit-norm C 2 Lagrange function for each vertex is exhibited.

Keywords

Piecewise Polynomial Spline Space Continuity Constraint Yorktown Height Arbitrary Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    de Boor, C., and K. Höllig, Minimal support for bivariate splines, Approx. Theory Appl. 3 (1987), 11–23.Google Scholar
  2. 2.
    Chui, C. K., M.-J. Lai, Multivariate vertex splines and finite elements, J. of Approx. Theory 60(19xx), 245–343.Google Scholar
  3. 3.
    Chui, C. K., and R.-H. Wang, Bivariate B-splines on triangulated rectangles, Approximation Theory IV, C. K. Chui, L. L. Schumaker, and J. Ward (eds.), Academic Press, New York, 1983, 413–418.Google Scholar
  4. 4.
    Chui, C. K., and R.-H. Wang, Multivariate spline spaces, J. Math. Anal. & Appl. 94 (1983), 197–221.CrossRefGoogle Scholar
  5. 5.
    Dahmen, W., and C. A. Micchelli, Recent progress in multivariate splines, Approximation Theory IV, C. K. Chui, L. L. Schumaker, and J. Ward (eds.), Academic Press, New York, 1983, 27–121.Google Scholar
  6. 6.
    Lai, M.-J., Approximation order from bivariate C 1 cubics on a four directional mesh is full, Dept. Math., U. of Utah, preprint.Google Scholar
  7. 7.
    Le Méhauté, A. A finite element approach to surface reconstruction, in Computation of Curves and Surfaces, W. Dahmen et al. (eds.), Kluwer Academic Publishers, Dordrecht, 237–274.Google Scholar
  8. 8.
    Lenze, B., On constructive one-sided approximation of multivariate functions of bounded variation, Numer. Funct. Anal, and Opt. 11 (1990), 55–83.CrossRefGoogle Scholar
  9. 9.
    Peters, J. and M. Sitharam, Stability of Interpolation from C 1 Cubics at the Vertices of an Underlying Triangulation, SIAM J. Num. Anal. 20 (1992), 528–533.CrossRefGoogle Scholar
  10. 10.
    Peters, J. and Sitharam, M., Stability of m-variate C 1 interpolation, RC 16732, IBM, TJ Watson Res. Ctr., April, 1991.Google Scholar
  11. 11.
    Rivlin, T. J., Chebyshev Polynomials: from Approximation Theory to Algebra and Number Theory, New York: J. Wiley, 1990.Google Scholar
  12. 12.
    Sablonière, P. De l’existence de splines a support borné sur une triangulation équilaterale du plan, Publ. ANO-30, UER d’IEEA-Informatique Univ. de Lille I, 1981.Google Scholar
  13. 13.
    Schumaker, L. L., On the dimension of spaces of piecewise polynomials in two variables, in Multivariate Approximation Theory, W. Schempp, and K. Zeller (eds.), Birkhäuser, Basel, 1979, 396–412.Google Scholar
  14. 14.
    Schumaker, L. L., Recent progress on multivariate splines, in Mathematics of Finite Elements VII, J. Whiteman (ed.), Academic Press, London, 1991, 535–562.Google Scholar
  15. 15.
    Zwart, Philip B., Multi-variate splines with non-degenerate partitions, SIAM J. Numer. Anal. 10 (1973), 665–673.CrossRefGoogle Scholar

Copyright information

© Springer Basel AG 1992

Authors and Affiliations

  • Andy Neff
    • 1
  • Jörg Peters
    • 2
  1. 1.IBM — TJ Watson Research CenterYorktown HeightsUSA
  2. 2.Department of the Mathematical SciencesRensselaer Polytechnic InstituteTroyUSA

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