42 citations to https://www.mathnet.ru/rus/conap6
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Е. Д. Косов, “Замечания о дискретизации интегральных норм функций по значениям в точках”, Труды МИАН, 319 (2022), 202–212
; Egor D. Kosov, “Remarks on Sampling Discretization of Integral Norms of Functions”, Proc. Steklov Inst. Math., 319 (2022), 189–199
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Min Liu, Zhiqiang Cai, Jingshuang Chen, “Adaptive two-layer ReLU neural network: I. Best least-squares approximation”, Computers & Mathematics with Applications, 113 (2022), 34
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I. Limonova, V. Temlyakov, “On sampling discretization in $L_2$”, J. Math. Anal. Appl., 515:2 (2022), 126457–14
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Mario Ullrich, Jan Vybíral, “Deterministic Constructions of High-Dimensional Sets with Small Dispersion”, Algorithmica, 84:7 (2022), 1897
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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