Error Estimates and Convergence Rates for Variational Hermite Interpolation
β Scribed by Zuhua Luo; Jeremy Levesley
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 273 KB
- Volume
- 95
- Category
- Article
- ISSN
- 0021-9045
No coin nor oath required. For personal study only.
β¦ Synopsis
This paper considers the variational problem of Hermite interpolation and its error bounds. The optimal Hermite interpolant, which minimises the semi-norm of the reproducing kernel Hilbert space C h determined by given r-CPD m function h, is just the h-spline Hermite interpolant. The results on error estimation and convergence rate of the h-spline interpolant generalise those of W.
π SIMILAR VOLUMES
This paper discusses approximation errors for interpolation in a variational setting which may be obtained from the analysis given by Golomb and Weinberger. We show how this analysis may be used to derive the power function estimate of the error as introduced by Schaback and Powell. A simple error t
## Abstract __A posteriori__ error estimates have had a major impact on adaptive error control for the finite element method. In this paper, we review a relatively new approach to __a posteriori__ error estimation based on residuals and a variational analysis. This approach is distinguished by a di