On node distributions for interpolation and spectral methods
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Abstract:
A scaled Chebyshev node distribution is studied in this paper. It is proved that the node distribution is optimal for interpolation in $C_M^{s+1}[-1,1]$, the set of $(s+1)$-time differentiable functions whose $(s+1)$-th derivatives are bounded in absolute value by a constant $M>0$. Node distributions for computing spectral differentiation matrices and integration matrices are proposed and studied. Numerical experiments have shown that the proposed node distributions can yield results of higher accuracy than those obtained by the most commonly used Chebyshev-Gauss-Lobatto node distribution.References
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Additional Information
- N. S. Hoang
- Affiliation: Department of Mathematics, University of West Georgia, Carrollton, Georgia 30118
- MR Author ID: 796419
- Email: nhoang@westga.edu
- Received by editor(s): August 5, 2013
- Received by editor(s) in revised form: July 18, 2014
- Published electronically: September 23, 2015
- © Copyright 2015 American Mathematical Society
- Journal: Math. Comp. 85 (2016), 667-692
- MSC (2010): Primary 65D05; Secondary 41A05, 41A10
- DOI: https://doi.org/10.1090/mcom/3018
- MathSciNet review: 3434875