Skip to main content
Log in

Q-Splines

  • Published:
Numerical Algorithms Aims and scope Submit manuscript

Abstract

The classical weighted spline introduced by Ph. Cinquin (1981), (see also K. Salkauskas (1984) and T.A. Foley (1986)) consists in minimizing ∫ b a w(t)(x″(t))2 dt under the conditionsx(t i )=y i ,i=1,...,n, where the functionw is piecewise constant on the subdivisiona<t 1<t 2<...<t n <b. The solution is a cubic spline, but it is notC 2. We consider here the minimization of

$$\int_a^b {\frac{{\left( {x''\left( t \right)} \right)^2 }}{{q\left( t \right)}}} dt$$

whereq is a piecewise polynomial function. We shall study in detail the case whenq is continuous and piecewise linear on the subdivision. The valuesq i =q(t i ) act as shape parameters. The solution is aC 2 quartic spline, but surprisingly it has, in fact, all the advantages of the cubic spline, namely:

  • - computing the solution leads to a symmetric tri-diagonal linear system,

  • - computing the corresponding smoothing spline leads to a block 2×2 tri-diagonal system,

  • - the associatedB-spline is based on 4 intervals of the subdivision (as in the case of the classical cubicB-spline).

The properties of this new weighted spline will be developed and its efficiency for interpolating, smoothing or designing will be illustrated on a selection of examples. Finally, a weighted spline withG 2 continuity is described, which has three shape parameters at each knot.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. B.A. Barsky,Computer Graphics and Geometric Modelling using Beta-Splines (Springer Verlag, 1988).

  2. Ph. Cinquin, Splines unidimensionnelles sous tension et bidimensionnelles paramétrées: deux applications médicales. Thèse, Université de Saint-Etienne, 28 octobre 1981.

  3. G. Farin, VisuallyC 2 cubic splines. Computer Aided Design 14, No3 (1982) 137–139.

    Google Scholar 

  4. T.A. Foley, Local control of interval tension using weighted splines, Computer Aided Geometric Design 3 (1986) 281–294.

    Google Scholar 

  5. P.J. Laurent,Approximation et Optimisation (Hermann, Paris, 1972) 531 p.

    Google Scholar 

  6. L. Ramshaw, Blossoming: a connect-the-dots approach to splines, Digital, SRC Techn. Report no. 19, June 21 1987.

  7. K. Salkauskas,C 1 splines for interpolation of rapidly varying data, Rocky Mountain Journal of Mathematics 14, No1 (1984) 239–250.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kulkarni, R., Laurent, PJ. Q-Splines. Numer Algor 1, 45–73 (1991). https://doi.org/10.1007/BF02145582

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02145582

Subject classifications

Keywords

Navigation