57 citations · 82 across the 3 of their papers we have counts for
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math.NA2023
Lebesgue-type inequalities in sparse sampling recovery
F. Dai, V. Temlyakov
Recently, it has been discovered that results on universal sampling discretization of the square norm are useful in sparse sampling recovery with error being measured in the square…
math.FA2023★ 24 cited
Random points are good for universal discretization
F. Dai, V. Temlyakov
There has been significant progress in the study of sampling discretization of integral norms for both a designated finite-dimensional function space and a finite collection of suc…