On polynomial interpolation in the monomial basis

Fuente: arXiv
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Autori principali: Shen, Zewen, Serkh, Kirill
Natura: Preprint
Pubblicazione: 2022
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author Shen, Zewen
Serkh, Kirill
author_facet Shen, Zewen
Serkh, Kirill
contents In this paper, we show that the monomial basis is generally as good as a well-conditioned polynomial basis for interpolation, provided that the condition number of the Vandermonde matrix is smaller than the reciprocal of machine epsilon. This leads to a practical algorithm for piecewise polynomial interpolation over general regions in the complex plane using the monomial basis. Our analysis also yields a new upper bound for the condition number of an arbitrary Vandermonde matrix, which generalizes several previous results.
format Preprint
id arxiv_https___arxiv_org_abs_2212_10519
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle On polynomial interpolation in the monomial basis
Shen, Zewen
Serkh, Kirill
Numerical Analysis
In this paper, we show that the monomial basis is generally as good as a well-conditioned polynomial basis for interpolation, provided that the condition number of the Vandermonde matrix is smaller than the reciprocal of machine epsilon. This leads to a practical algorithm for piecewise polynomial interpolation over general regions in the complex plane using the monomial basis. Our analysis also yields a new upper bound for the condition number of an arbitrary Vandermonde matrix, which generalizes several previous results.
title On polynomial interpolation in the monomial basis
topic Numerical Analysis
url https://arxiv.org/abs/2212.10519