Abstract
For a \(C^3\)-smooth function, we consider a convolution-based method for constructing a \(C^3\) spline interpolant that agrees with the function and its first and second derivatives at the points of interpolation. In the case of equidistant nodes \(x_j=\frac{j}{n}, j=0,\ldots ,n\) the error of interpolation on \([0,1]\) is proven to be of order \(n^{-3}\) which is one less than the order of the natural spline interpolation at the same points, \(n^{-4}\). Applications are discussed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Balabdaoui, F., Wellner, J.: Conjecture of error boundedness in a new Hermite interpolation problem via splines of odd-degree, Technical Report 480. University of Washington, Department of Statistics (2005)
Heß, W., Schmidt, J.: Positive quadratic, monotone quintic \(C^2\)-spline interpolation in one and two dimensions. J. Comput. Appl. Math. 55(1), 51–67 (1994)
Katznelson, Y.: An Introduction to Harmonic Analysis, 2nd edn. Dover Publications Inc, New York (1976)
Vatchev, V.: An inverse of the running average operator for algebraic polynomials and its applications to shape preserving spline interpolation. Jaen J. Approx. 4(1), 61–71 (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Vatchev, V. (2014). On Hermite Interpolation by Splines with Continuous Third Derivatives. In: Fasshauer, G., Schumaker, L. (eds) Approximation Theory XIV: San Antonio 2013. Springer Proceedings in Mathematics & Statistics, vol 83. Springer, Cham. https://doi.org/10.1007/978-3-319-06404-8_21
Download citation
DOI: https://doi.org/10.1007/978-3-319-06404-8_21
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-06403-1
Online ISBN: 978-3-319-06404-8
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)