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Mathematics of Computation

Published by the American Mathematical Society since 1960 (published as Mathematical Tables and other Aids to Computation 1943-1959), Mathematics of Computation is devoted to research articles of the highest quality in computational mathematics.

ISSN 1088-6842 (online) ISSN 0025-5718 (print)

The 2020 MCQ for Mathematics of Computation is 1.78.

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Accelerated polynomial approximation of finite order entire functions by growth reduction
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by Jürgen Müller PDF
Math. Comp. 66 (1997), 743-761 Request permission

Abstract:

Let $f$ be an entire function of positive order and finite type. The subject of this note is the convergence acceleration of polynomial approximants of $f$ by incorporating information about the growth of $f(z)$ for $z\to \infty$. We consider “near polynomial approximation” on a compact plane set $K$, which should be thought of as a circle or a real interval. Our aim is to find sequences $(f_n)_n$ of functions which are the product of a polynomial of degree $\le n$ and an “easy computable” second factor and such that $(f_n)_n$ converges essentially faster to $f$ on $K$ than the sequence $(P_n^*)_n$ of best approximating polynomials of degree $\le n$. The resulting method, which we call Reduced Growth method ($RG$-method) is introduced in Section 2. In Section 5, numerical examples of the $RG$-method applied to the complex error function and to Bessel functions are given.
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Additional Information
  • Jürgen Müller
  • Affiliation: Fachbereich IV-Mathematik, Universität Trier, D-54286 Trier, Germany
  • ORCID: 0000-0002-5872-0129
  • Email: jmueller@uni-trier.de
  • Received by editor(s): October 16, 1995
  • Received by editor(s) in revised form: April 1, 1996
  • © Copyright 1997 American Mathematical Society
  • Journal: Math. Comp. 66 (1997), 743-761
  • MSC (1991): Primary 65B99; Secondary 30D10
  • DOI: https://doi.org/10.1090/S0025-5718-97-00832-6
  • MathSciNet review: 1401944