Blends have decent numerical properties
DOI:
https://doi.org/10.5206/mt.v3i1.15890Keywords:
blend, Hermite interpolational polynomial, Lebesgue constant, componentwise backward error analysis, quadratureAbstract
A "blend" is a two-point Hermite interpolational polynomial, typically of quite high degree. This note shows that implementing them in a double Horner evaluation scheme has good backward error, and also shows that the Lebesgue constant for a balanced blend or nearly balanced blend on the interval [0,1] is bounded by 2, independently of the grade or degree of the approximation. On [-1,1], which is a more natural interval for comparison, it is of course unbounded, but grows only like 2√(m/π) where 2m+1 is the grade of approximation. I also show that the quadrature schemes for balanced blends amplify errors only by O( ln(m) ).

Downloads
Published
Issue
Section
Categories
License
Copyright (c) 2023 Robert Corless

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.