Accelerated polynomial approximation of finite order entire functions by growth reduction
Identifieur interne : 001603 ( PascalFrancis/Curation ); précédent : 001602; suivant : 001604Accelerated polynomial approximation of finite order entire functions by growth reduction
Auteurs : J. Müller [Allemagne]Source :
- Mathematics of computation [ 0025-5718 ] ; 1997.
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- Pascal (Inist)
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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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<front><div type="abstract" xml:lang="en">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 (f<sub>n</sub>
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of functions which are the product of a polynomial of degree < n and an "easy computable" second factor and such that (f<sub>n</sub>
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converges essentially faster to f on K than the sequence (P<sub>n</sub>
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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.</div>
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)<sub>n</sub>
of functions which are the product of a polynomial of degree < n and an "easy computable" second factor and such that (f<sub>n</sub>
)<sub>n</sub>
converges essentially faster to f on K than the sequence (P<sub>n</sub>
<sup>*</sup>
)<sub>n</sub>
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.</s0>
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