activity
20132026
most citedConstructive sparse trigonometric approximation and other problems for functions with mixed smoothness

48 citations · 191 across the 37 of their papers we have counts for

collaborators
Showing 2020Show all

11 papers · 1 filter

math.NA2020★ 5 cited

Bounds on Kolmogorov widths and sampling recovery for classes with small mixed smoothness

V. Temlyakov, T. Ullrich

Results on asymptotic characteristics of classes of functions with mixed smoothness are obtained in the paper. Our main interest is in estimating the Kolmogorov widths of classes w…

math.FA2020

Approximation of functions with small mixed smoothness in the uniform norm

Vladimir Temlyakov, Tino Ullrich

In this paper we present results on asymptotic characteristics of multivariate function classes in the uniform norm. Our main interest is the approximation of functions with mixed…

math.NA2020★ 6 cited

On optimal recovery in

V. Temlyakov

We prove that the optimal error of recovery in the norm of functions from a class $\bF$ can be bounded above by the value of the Kolmogorov width of $\bF$ in the uniform norm…

math.FA2020★ 2 cited

On sampling discretization in

Irina Limonova, Vladimir Temlyakov

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…

math.NA2020

A remark on entropy numbers

Vladimir Temlyakov

Talagrand's fundamental result on the entropy numbers is slightly improved. Our proof uses different ideas based on results from greedy approximation.

math.NA2020

Sampling discretization of integral norms of the hyperbolic cross polynomials

Vladimir Temlyakov

The paper is devoted to discretization of integral norms of functions from a given finite dimensional subspace. We use recent general results on sampling discretization to derive a…