37 citations to https://www.mathnet.ru/rus/conap6
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Nicolas Nagel, Martin Schäfer, Tino Ullrich, “A New Upper Bound for Sampling Numbers”, Found Comput Math, 22:2 (2022), 445
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András Kroó, “On Discretizing Uniform Norms of Exponential Sums”, Constr Approx, 56:1 (2022), 45
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B. Kashin, E. Kosov, I. Limonova, V. Temlyakov, “Sampling discretization and related problems”, J. Complexity, 71 (2022), 101653–55
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М. Г. Плотников, “Задачи восстановления интегрируемых функций и тригонометрических рядов”, Матем. сб., 212:6 (2021), 109–125 ; M. G. Plotnikov, “Recovery of integrable functions and trigonometric series”, Sb. Math., 212:6 (2021), 843–858
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Marius Junge, Kiryung Lee, “Generalized Notions of Sparsity and Restricted Isometry Property. Part II: Applications”, J Fourier Anal Appl, 27:2 (2021)
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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
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Lutz Kämmerer, Tino Ullrich, Toni Volkmer, “Worst-case Recovery Guarantees for Least Squares Approximation Using Random Samples”, Constr Approx, 54:2 (2021), 295
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V. Temlyakov, T. Ullrich, “Bounds on Kolmogorov widths and sampling recovery for classes with small mixed smoothness”, J. Complexity, 67 (2021), 101575–19
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F. Dai, A. Prymak, A. Shadrin, V. Temlyakov, S. Tikhonov, “Sampling discretization of integral norms”, Constr. Approx., 54:3 (2021), 455–471
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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)