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An Examination of New Paradigms for Spline Approximations



Christoph J. Witzgall, David E. Gilsinn, Marjorie A. McClain


Lavery splines are examined in the univariate and bivariate cases. In both instances relaxation based algorithms for approximate calculation of Lavery splines are proposed. Following previous work Gilsinn, et al. [7] addressing the bivariate case, a rotationally invariant functional is assumed. The version of bivariate splines proposed in this paper also aims at irregularly spaced data and uses Hseih-Clough-Tocher elements based on the triangulated irregular network (TIN) concept. In this paper, the univariate case, however, is investigated in greater detail so as to further the understanding of the bivariate case.
Journal of Research (NIST JRES) -
111 No. 2


bivariate splines, curve fitting, Delaunay triangulation, Gauss-Seidel iteration, Hsieh-Clough-Tocher elements, irregular data, Lavery splines, non-oscillatory splines, point clouds


Witzgall, C. , Gilsinn, D. and McClain, M. (2006), An Examination of New Paradigms for Spline Approximations, Journal of Research (NIST JRES), National Institute of Standards and Technology, Gaithersburg, MD (Accessed July 19, 2024)


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Created May 1, 2006, Updated February 17, 2017