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Accelerated polynomial approximation of finite order entire functions by growth reduction

Identifieur interne : 001603 ( PascalFrancis/Curation ); précédent : 001602; suivant : 001604

Accelerated polynomial approximation of finite order entire functions by growth reduction

Auteurs : J. Müller [Allemagne]

Source :

RBID : Pascal:97-0302699

Descripteurs français

English descriptors

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 → ∞. 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 (fn)n of functions which are the product of a polynomial of degree < n and an "easy computable" second factor and such that (fn)n converges essentially faster to f on K than the sequence (Pn*)n of best approximating polynomials of degree ≤ 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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A08 01  1  ENG  @1 Accelerated polynomial approximation of finite order entire functions by growth reduction
A11 01  1    @1 MÜLLER (J.)
A14 01      @1 Fachbereich IV-Mathematik, Universität Trier @2 54286 Trier @3 DEU @Z 1 aut.
A20       @1 743-761
A21       @1 1997
A23 01      @0 ENG
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A44       @0 0000 @1 © 1997 INIST-CNRS. All rights reserved.
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A47 01  1    @0 97-0302699
A60       @1 P
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C01 01    ENG  @0 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 → ∞. 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 (fn)n of functions which are the product of a polynomial of degree < n and an "easy computable" second factor and such that (fn)n converges essentially faster to f on K than the sequence (Pn*)n of best approximating polynomials of degree ≤ 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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C03 02  X  FRE  @0 Accélération convergence @5 51
C03 02  X  ENG  @0 Convergence acceleration @5 51
C03 02  X  SPA  @0 Aceleración convergencia @5 51
C03 03  X  FRE  @0 Approximation polynomiale @5 52
C03 03  X  ENG  @0 Polynomial approximation @5 52
C03 03  X  SPA  @0 Aproximación polinomial @5 52
C03 04  X  FRE  @0 Fonction entière @5 53
C03 04  X  ENG  @0 Entire function @5 53
C03 04  X  SPA  @0 Función entera @5 53
C03 05  X  FRE  @0 Fonction variable complexe @5 54
C03 05  X  ENG  @0 Complex variable function @5 54
C03 05  X  SPA  @0 Función variable compleja @5 54
C03 06  X  FRE  @0 Fonction Bessel @5 55
C03 06  X  ENG  @0 Bessel function @5 55
C03 06  X  SPA  @0 Función Bessel @5 55
C03 07  X  FRE  @0 Estimation erreur @5 56
C03 07  X  ENG  @0 Error estimation @5 56
C03 07  X  SPA  @0 Estimación error @5 56
N21       @1 174

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Le document en format XML

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