Abstract
Let \(n\in {\mathbb{N}}\), –1<x 1<...<x n <1. Denote \(W:=\bigl\{\sum_{r=0}^{\infty} a_r t^r:\ |a_r|\leq 1,\ r\geq n \bigr\}\), t∈(–1,1). Given a function f∈W we try to recover f(ζ) at fixed point ζ∈(–1,1) by an algorithm A on the basis of the information f(x 1),...,f(x n ). We find the intrinsic error of recovery \(E(W,I):=inf_{A:{\mathbb{R}}^n\to {\mathbb{R}}} \sup_{f\in W} |f(\zeta)-A(If)|\).
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This work is supported by RFBR (grant 07-01-00167-a and grant 06-01-00003).
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Sidorov, S.P. Optimal interpolation of convergent algebraic series. Numer Algor 44, 273–279 (2007). https://doi.org/10.1007/s11075-007-9100-8
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DOI: https://doi.org/10.1007/s11075-007-9100-8