Numerical Methods in Approximation Theory, Vol. 9 pp 317-329 | Cite as
A Dual Method for Smoothing Histograms Using Nonnegative C1-Splines
Chapter
Abstract
For smoothing histograms under positivity constraints, we use the objective function K 2 proposed in [6]. The feasible functions are assumed to be quadratic C 1-splines. This leads to finite dimensional programming problems with a partially separable structure which can be solved efficiently via dualization.
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References
- 1.Barrett, J.W., and R. Chakrabarti, Finite element approximation of the volume-matching problem, Numer. Math. 60 (1991), 291–313.CrossRefGoogle Scholar
- 2.Dietze, S., and J.W. Schmidt, Determination of shape preserving spline interpolants with minimal curvature via dual programs, J. Approx. Theory 52 (1988), 43–57CrossRefGoogle Scholar
- 3.Dyn, N., and W. H. Wong, On the characterization of non-negative volume-matching surface splines, J. Approx. Theory 51 (1987), 1–10.CrossRefGoogle Scholar
- 4.Morandi, R., and P. Costantini, Piecewise monotone quadratic histosplines, SIAM J. Sci. Stat. Comput. 10 (1989), 397–406.CrossRefGoogle Scholar
- 5.Sakai, M., and R. A. Usmani, A shape preserving area true approximation of histograms by rational splines, BIT 28 (1989), 329–339.CrossRefGoogle Scholar
- 6.Schmidt, J.W., Constrained smoothing of histograms by quadratic splines, Computing 48 (1992), 97–107.CrossRefGoogle Scholar
- 7.Schmidt, J.W., Dual algorithms for solving convex partially separable optimization problems, Jahresber. Deutsch. Math.-Verein. 94 (1992), 40–62.Google Scholar
- 8.Schmidt, J.W., and W. Heß, Shape preserving C 2-spline histopolation, Hamburger Beitr. Angew. Math., Preprint A41, 1991.Google Scholar
- 9.Schmidt, J.W., W. Heß, and T. Nordheim, Shape preserving histopolation using rational quadratic splines, Computing 44 (1990), 245–258.CrossRefGoogle Scholar
- 10.Schoenberg, I. J., Splines and histograms, in Spline Functions and Approx. Theory, A. Meir and A. Sharma (eds.), Birkhäuser Verlag, Basel und Stuttgart, ISNM 21, 1973, 277–327.Google Scholar
- 11.Späth, H., Zur Glättung empirischer Häufigkeitsverteilungen, Computing 10 (1972), 353–357.CrossRefGoogle Scholar
- 12.Späth, H., Eindimensionale Spline-Interpolations-Algorithmen, Olden-bourg-Verlag, München, Wien, 1990.Google Scholar
- 13.Tobler, W.R., Smooth pycnophylactic interpolation for geographical regions, J. Amer. Statist. Assoc. 74 (1979), 519–530.CrossRefGoogle Scholar
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