  We prove a sampling discretization theorem for the square norm of functions
from a finite dimensional subspace satisfying Nikol'skii's inequality with an
upper bound on the number of sampling points of the order of the dimension of
the subspace

Functional Analysis;Numerical Analysis;Numerical Analysis