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
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:
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- computing the solution leads to a symmetric tri-diagonal linear system,
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- computing the corresponding smoothing spline leads to a block 2×2 tri-diagonal system,
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- 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.
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References
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Ph. Cinquin, Splines unidimensionnelles sous tension et bidimensionnelles paramétrées: deux applications médicales. Thèse, Université de Saint-Etienne, 28 octobre 1981.
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T.A. Foley, Local control of interval tension using weighted splines, Computer Aided Geometric Design 3 (1986) 281–294.
P.J. Laurent,Approximation et Optimisation (Hermann, Paris, 1972) 531 p.
L. Ramshaw, Blossoming: a connect-the-dots approach to splines, Digital, SRC Techn. Report no. 19, June 21 1987.
K. Salkauskas,C 1 splines for interpolation of rapidly varying data, Rocky Mountain Journal of Mathematics 14, No1 (1984) 239–250.
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Kulkarni, R., Laurent, PJ. Q-Splines. Numer Algor 1, 45–73 (1991). https://doi.org/10.1007/BF02145582
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DOI: https://doi.org/10.1007/BF02145582