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In current textbooks the use of Chebyshev nodes with Newton interpolation is advocated as the most efficient numerical interpolation method in terms of approximation accuracy and computational effort.
Über empirische Funktionen und die Interpolation zwischen äquidistanten Ordinaten
C. Runge · 1901
Earlier work this paper cites.
Konstruktive Funktionentheorie
I.P. Natanson · 1955
Earlier work this paper cites.
An introduction to numerical analysis
Kendall E. Atkinson · 1989
Earlier work this paper cites.
Stability analysis of algorithms for solving confluent Vandermonde-like systems
Nicholas J. Higham · 1990
Earlier work this paper cites.
Newton interpolation at Leja points
Lothar Reichel · 1990
Earlier work this paper cites.
High degree polynomial interpolation in Newton form
Hillel Tal-Ezer · 1991
Cited alongside, same era.
Iterative methods for the computation of a few eigenvalues of a large symmetric matrix
J. Baglama, D. Calvetti, and L. Reichel · 1996
Cited alongside, same era.
Adaptive Richardson iteration based on Leja points
D. Calvetti and L. Reichel · 1996
Cited alongside, same era.
Numerical analysis. An introduction
Walter Gautschi · 1997
Cited alongside, same era.
Fast Leja points
J. Baglama, D. Calvetti, and L. Reichel · 1998
Cited alongside, same era.
A new method of solving numerical equations of all orders, by continuous approximation
William George Horner
Cited in the paper.
A Practical Guide to Splines
Carl de Boor · 2001
Later among the works it cites.
On the evaluation of polynomial coefficients
Daniela Calvetti and Lothar Reichel · 2003
Later among the works it cites.
On the inversion of the Vandermonde matrix
A. Eisinberg and G. Fedele · 2006
Later among the works it cites.
Approximation theory and approximation practice
Lloyd N. Trefethen · 2013
Later among the works it cites.
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