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Bibliographische Detailangaben
Hauptverfasser: Krieg, David, Ullrich, Mario
Format: Preprint
Veröffentlicht: 2020
Schlagworte:
Online-Zugang:https://arxiv.org/abs/2011.01779
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Inhaltsangabe:
  • In the first part we have shown that, for $L_2$-approximation of functions from a separable Hilbert space in the worst-case setting, linear algorithms based on function values are almost as powerful as arbitrary linear algorithms if the approximation numbers are square-summable. That is, they achieve the same polynomial rate of convergence. In this sequel, we prove a similar result for separable Banach spaces and other classes of functions.