43 citations to https://www.mathnet.ru/eng/conap6
  1. Egor D. Kosov, “Marcinkiewicz-type discretization of L-norms under the Nikolskii-type inequality assumption”, Journal of Mathematical Analysis and Applications, 504:1 (2021), 125358  crossref
  2. Lutz Kämmerer, Tino Ullrich, Toni Volkmer, “Worst-case Recovery Guarantees for Least Squares Approximation Using Random Samples”, Constr Approx, 54:2 (2021), 295  crossref
  3. V. Temlyakov, T. Ullrich, “Bounds on Kolmogorov widths and sampling recovery for classes with small mixed smoothness”, J. Complexity, 67 (2021), 101575–19  mathnet  crossref  isi  scopus
  4. F. Dai, A. Prymak, A. Shadrin, V. Temlyakov, S. Tikhonov, “Sampling discretization of integral norms”, Constr. Approx., 54:3 (2021), 455–471  mathnet  crossref  isi  scopus
  5. Moritz Moeller, Tino Ullrich, “$L_2$-norm sampling discretization and recovery of functions from RKHS with finite trace”, Sampl. Theory Signal Process. Data Anal., 19:2 (2021)  crossref
  6. V. N. Temlyakov, “Sampling Discretization of Integral Norms of the Hyperbolic Cross Polynomials”, Proc. Steklov Inst. Math., 312 (2021), 270–281  mathnet  mathnet  crossref  crossref  isi  scopus
  7. F. Dai, A. Prymak, A. Shadrin, V. Temlyakov, S. Tikhonov, “Entropy numbers and Marcinkiewicz-type discretization”, J. Funct. Anal., 281:6 (2021), 109090–25  mathnet  crossref  isi  scopus
  8. V. Temlyakov, “On optimal recovery in $L_2$”, J. Complexity, 65 (2021), 101545–0  mathnet  crossref  isi
  9. Albert Cohen, Wolfgang Dahmen, Ronald DeVore, James Nichols, “Reduced Basis Greedy Selection Using Random Training Sets”, ESAIM: M2AN, 54:5 (2020), 1509  crossref
  10. Vladimir Temlyakov, “Connections between numerical integration, discrepancy, dispersion, and universal discretization”, The SMAI Journal of computational mathematics, S5 (2020), 185  crossref
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