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Boundary-valued shape-preserving interpolating splines
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Volume 23 ,  Issue 2  (June 1997) table of contents
Pages: 229 - 251  
Year of Publication: 1997
ISSN:0098-3500
Author
P. Costantini  Univ. degli Studi di Siena, Siena, Italy
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 9,   Downloads (12 Months): 65,   Citation Count: 5
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ABSTRACT

This article describes a general-purpose method for computing interpolating polynomial splines with arbitrary constraints on their shape and satisfying separable or nonseparable boundary conditions. Examples of applications of the related Fortran code are periodic shape-preserving spline intepolation and the construction of visually pleasing closed curves.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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DE BOOR, C. 1978. A Practical Guide to Splines. Springer-Verlag, Berlin, Germany.
 
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COSTANTINI, P. 1990. On some recent methods for bivariate shape-preserving interpolation. In Multivariate Approximation and Interpolation. Birkh~iuser Verlag, Basel, Switzerland.
 
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COSTANTINI, P. 1993. A general method for constrained curves with boundary conditions. In Multivariate Approximation: From CAGD to Wavelets. World Scientific Publishing, River Edge, N.J.
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COSTANTINI, P. AND MORANDI, R. 1984. Monotone and convex cubic spline interpolation. CALCOLO 21,281-294.
 
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FRITSCH, R. E. AND BUTLAND, J. 1984. A method for constructing local monotone piecewise cubic interpolants. SIAM J. Sci. Stat. Comput. 5, 300-304.
 
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FRITSCH, R. E. AND CARLSON, R.E. 1980. Monotone piecewise cubic interpolation. SIAM J. Numer. Anal. 17, 238-246.
 
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GREINER, H. 1991. A survey on univariate data interpolation and approximation by splines of given shape. Math. Comput. Model. 15, 97-106.
 
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KAUFMAN, E. H. AND TAYLOR, G.D. 1994. Approximation and interpolation by convexitypreserving rational splines. Constr. Approx. 10, 275-283.
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MICCHELLI, C. A. AND UTRERAS, F.I. 1988. Smoothing and interpolation in a convex subset of Hilbert space. SIAM J. Sci. Stat. Comput. 9, 5, 728-746.
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SCHMIDT, J.W. 1989. On Shape-Preserving Spline Interpolation: Existence Theorems and Determination of Optimal Splines. Approximation and function spaces, vol. 22. PWN-- Polish Scientific Publishers, Warsaw, Poland.
 
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SCHWEIKERT, D.G. 1966. Interpolatory tension splines with automatic selection of tension factors. J. Math. Phys. 45, 312-317.



REVIEW

"Richard Franke : Reviewer"

An algorithm for constructing a monotonicity- and convexity-preserving spline function that interpolates given data is presented. A unique feature of this method is that the boundary conditions may be either separable or nonseparable. The degr  more...


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