Sampling discretization error for function classes
Published in arXiv (Cornell University) • Dec 19, 2018
Authors:
Vladimir Temlyakov
Abstract
The new ingredient of this paper is that we consider infinitely dimensional classes of functions and instead of the relative error setting, which was used in previous papers on norm discretization, we consider the absolute error setting. We demonstrate how known results from two areas of research --...
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