Abstract
A new multivariate approximation scheme to scattered data on arbitrary bounded domains in R d is developed. The approximant is selected from a space spanned (essentially) by corresponding translates of the ‘shifted’ thin-plate spline (‘essentially,’ since the space is augmented by certain functions in order to eliminate boundary effects). This scheme applies to noisy data as well as to noiseless data, but its main advantage seems to be in the former case. We suggest an algorithm for the new approximation scheme with a detailed description (in a MATLAB-like program). Some numerical examples are presented along with comparisons with thin-plate spline interpolation and Wahba's thin-plate smoothing spline approximation.
Similar content being viewed by others
References
M. Abramowitz and I. Stegun, A Handbook of Mathematical Functions (Dover, New York, 1970).
R.K. Beatson and W.A. Light, Quasi-interpolation in the absence of polynomial reproduction, in: Numerical Methods of Approximation Theory, eds. D. Braess and L.L. Shumaker (Birkhäuser, Basel, 1992) pp. 21–39.
M.D. Buhmann, N. Dyn and D. Levin, On quasi-interpolation with radial basis functions with scattered centres, Constr. Approx. 11 (1995) 239–254.
C. de Boor and A. Ron, Fourier analysis of the approximation power of principal shift-invariant spaces, Constr. Approx. 8 (1992) 427–462.
C. de Boor and A. Ron, Computational aspects of polynomial interpolation in several variables, Math. Comp. 58 (1992) 705–727.
N. Dyn, Interpolation and approximation by radial and related functions, in: Approximation Theory VI, eds. C.K. Chui, L.L. Schumaker and J. Ward (Academic Press, New York, 1989) pp. 211–234.
N. Dyn, I.R.H. Jackson, D. Levin and A. Ron, On multivariate approximation by integer translates of a basis function, Israel J. Math. 78 (1992) 95–130.
N. Dyn and A. Ron, Radial basis function approximation: from gridded centers to scattered centers, Proc. London Math. Soc. 71 (1995) 76–108.
I.M. Gelfand and G.E. Shilov, Generalized Functions, Vol. 1 (Academic Press, New York, 1964).
M. Johnson, A bound on the approximation order of surface splines, Constr. Approx. 14 (1998) 429–438.
D. Levin, The approximation power of moving least-squares, Math. Comp. 67 (1998) 1517–1531.
C.A. Micchelli, Interpolation of scattered data: Distance matrices and conditionally positive functions, Constr. Approx. 2 (1986) 11–22.
W.R. Madych and S.A. Nelson, Multivariate interpolation and conditionally positive function I, Approx. Theory Appl. 4(4) (1988) 77–89.
W.R. Madych and S.A. Nelson, Multivariate interpolation and conditionally positive function II, Math. Comp. 54 (1990) 211–230.
M.J.D. Powell, The theory of radial basis functions approximation in 1990, in: Wavelets, Subdivision Algorithms and Radial Basis Functions, ed. W.A. Light, Advances in Numerical Analysis, Vol. II (Oxford Univ. Press, Oxford, 1992) pp. 105–210.
M.J.D. Powell, The uniform convergence of thin plate spline interpolation in two dimensions, Numer. Math. 9 (1994) 107–128.
A. Ron, Negative observations concerning approximations from spaces generated by scattered shifts of functions vanishing at ∞, J. Approx. Theory 78 (1994) 364–372.
Z. Wu and R. Shaback, Local error estimates for radial basis function interpolation of scattered data, IMA J. Numer. Anal. 13 (1993) 13–27.
J. Yoon, Approximation to scattered data by radial basis function, Ph.D. thesis, Department of Mathematics, University of Wisconsin, Madison, 1998.
J. Yoon, Approximation in L p (ℝd ) from a space spanned by the scattered shifts of radial basis function, Constr. Approx. 17 (2001) 227–247.
J. Yoon, Nonstationary approximation schemes on scattered centers in ℝd, manuscript.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Yoon, J. Computational Aspects of Approximation to Scattered Data by Using ‘Shifted’ Thin-Plate Splines. Advances in Computational Mathematics 14, 329–359 (2001). https://doi.org/10.1023/A:1012205804632
Issue Date:
DOI: https://doi.org/10.1023/A:1012205804632