Blends have decent numerical properties

Authors

DOI:

https://doi.org/10.5206/mt.v3i1.15890

Keywords:

blend, Hermite interpolational polynomial, Lebesgue constant, componentwise backward error analysis, quadrature

Abstract

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) ).

Author Biography

Robert Corless, Maple Transactions

Robert M. Corless did his B.Sc in Mathematics and Computer Science at the University of British Columbia, his M.Math at Waterloo, and his PhD at UBC. He is Emeritus Distinguished University Professor at Western University, a member of the Rotman Institute of Philosophy, a former Scientific Director of The Ontario Research Center for Computer Algebra (www.orcca.on.ca) and an Adjunct Professor at the Cheriton School of Computer Science, the University of Waterloo.  He is the Editor-in-Chief of Maple Transactions.

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Published

2023-02-01