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Abstract

In this paper, the problem of geometric interpolation of space data is considered. Cubic polynomial parametric curve is supposed to interpolate five points in three dimensional space. It is a case of a more general problem, i.e., the conjecture about the number of points in \(\mathbb{R}\) d which can be interpolated by parametric polynomial curve of degree n. The necessary and sufficient conditions are found which assure the existence and the uniqueness of the interpolating polynomial curve.

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References

  1. Berger, M. S., Nonlinearity and Functional Analysis, Lectures on Nonlinear Problems in Mathematical Analysis, Academic Press, 1977.

    Google Scholar 

  2. de Boor, C., K. Höllig, and M. Sabin, High accuracy geometric Hermite interpolation, Comput. Aided Geom. Design, 4 (1987), pp. 269–278.

    Article  Google Scholar 

  3. Feng, Y. Y., and J. Kozak, On spline interpolation of space data, in Mathematical Methods for Curves and Surfaces II, M. Dæhlen, T. Lyche, and L. L. Schumaker (eds.), Vanderbilt University Press, Nashville, 1998, pp. 167–174.

    Google Scholar 

  4. Höllig, K., and J. Koch, Geometric Hermite interpolation with maximal order and smoothness, Comput. Aided Geom. Design, 13 (1996), pp. 681–695.

    Article  MathSciNet  Google Scholar 

  5. Kozak, J., and E. Žagar, On curve interpolation in \(\mathbb{R}\) d, in Curve and Surface Fitting — Saint Malo 1999, A. Cohen, C. Rabut, and L. L. Schumaker (eds.), Vanderbilt University Press, Nashville, 2000, pp. 263–273.

    Google Scholar 

  6. Kozak, J., and E. Žagar, On geometric interpolation by polynomial curves, accepted for publication in SIAM Journal on Numerical Analysis.

    Google Scholar 

  7. Mørken, K., Parametric interpolation by quadratic polynomials in the plane, in Mathematical Methods for Curves and Surfaces, M. Dæhlen, T. Lyche, and L. L. Schumaker (eds.), Vanderbilt University Press, Nashville, 1995, pp. 385–402.

    Google Scholar 

  8. Mørken, K., and K. Scherer, A general framework for high-accuracy parametric interpolation, Math. Comp., 66 (1997), pp. 237–260.

    Article  MathSciNet  Google Scholar 

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Kozak, J., Žagar, E. (2005). Geometric Interpolation of Data in \(\mathbb{R}\) 3. In: Drmač, Z., Marušić, M., Tutek, Z. (eds) Proceedings of the Conference on Applied Mathematics and Scientific Computing. Springer, Dordrecht. https://doi.org/10.1007/1-4020-3197-1_17

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