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V. Temlyakov

42 papers hereh-index 378.1k citations187 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author19
  • first author4
  • middle author5
  • last author13

Across the 41 of 42 papers where every author was matched, so the position is known.

fields
  • math.NA27
  • math.FA5
  • stat.ML5
  • math.CA4
  • math.MG1
same name
  • V. Temlyakov — 12 papers, h 5
  • V. Temlyakov — 11 papers, h 11
  • V. Temlyakov — 8 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

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 2014Show all

4 papers · 1 filter

math.NA2014★ 48 cited

Constructive sparse trigonometric approximation and other problems for functions with mixed smoothness

Vladimir Temlyakov

Our main interest in this paper is to study some approximation problems for classes of functions with mixed smoothness. We use technique, based on a combination of results from hyp…

stat.ML2014

Convergence and rate of convergence of some greedy algorithms in convex optimization

Vladimir Temlyakov

The paper gives a systematic study of the approximate versions of three greedy-type algorithms that are widely used in convex optimization. By approximate version we mean the one w…

stat.ML2014★ 1 cited

Nonlinear tensor product approximation of functions

D. Bazarkhanov, V. Temlyakov

We are interested in approximation of a multivariate function f(x1​,…,xd​) by linear combinations of products u1(x1​)⋯ud(xd​) of univariate functions ui(xi​), $i…

stat.ML2014★ 4 cited

Convex optimization on Banach Spaces

R. A. DeVore, V. N. Temlyakov

Greedy algorithms which use only function evaluations are applied to convex optimization in a general Banach space X. Along with algorithms that use exact evaluations, algorithms…

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