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20232026
most citedSparse sampling recovery by greedy algorithms

6 citations · 10 across the 8 of their papers we have counts for

collaborators

8 papers

math.NA2026

Nonlinear approximation with adaptive dictionaries

V. Temlyakov

It is well known that the study of the Kolmogorov widths of a function class, which is the image of the unit ball of the space of an integral operator with the kernel $…

math.NA2026

A survey of sampling discretization of integral and uniform norms

F. Dai, E. Kosov, V. Temlyakov

This paper surveys recent developments in the sampling discretization of integral and uniform norms for functions in general finite-dimensional spaces. These results generalize the…

math.NA2026

Sampling recovery on classes defined by integral operators and sparse approximation with adaptive dictionaries

V. Temlyakov

In this paper we continue to develop the following general approach. We study asymptotic behavior of the errors of sampling recovery not for an individual smoothness class, how it…

math.NA2025

Entropy numbers of classes defined by integral operators

V. Temlyakov

In this paper we develop the following general approach. We study asymptotic behavior of the entropy numbers not for an individual smoothness class, how it is usually done, but for…

math.NA2024

Some lower bounds for optimal sampling recovery of functions with mixed smoothness

A. Gasnikov, V. Temlyakov

Recently, there was a substantial progress in the problem of sampling recovery on function classes with mixed smoothness. Mostly, it has been done by proving new and sometimes opti…

math.NA2024

Sampling recovery on function classes with a structural condition

V. Temlyakov

Sampling recovery on some function classes is studied in this paper. Typically, function classes are defined by imposing smoothness conditions. It was understood in nonlinear appro…

math.NA2024★ 4 cited

Sparse sampling recovery in integral norms on some function classes

V. Temlyakov

This paper is a direct followup of the recent author's paper. In this paper we continue to analyze approximation and recovery properties with respect to systems satisfying universa…

math.NA2023★ 6 cited

Sparse sampling recovery by greedy algorithms

V. Temlyakov

In this paper we analyze approximation and recovery properties with respect to systems satisfying universal sampling discretization property and a special incoherence property. We…