34 citations to https://www.mathnet.ru/rus/rm9892
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E. Kosov, V. Temlyakov, “Sampling discretization of the uniform norm and applications”, Journal of Mathematical Analysis and Applications, 2024, 128431
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F. Dai, V. Temlyakov, “Random points are good for universal discretization”, J. Math. Anal. Appl., 529:1 (2024), 127570–28
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И. В. Лимонова, Ю. В. Малыхин, В. Н. Темляков, “Односторонние неравенства дискретизации и восстановление по выборке”, УМН, 79:3(477) (2024), 149–180 ; I. V. Limonova, Yu. V. Malykhin, V. N. Temlyakov, “One-sided discretization inequalities and sampling recovery”, Russian Math. Surveys, 79:3 (2024), 515–545
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В. Н. Темляков, “Разреженное восстановление в некоторых функциональных классах в интегральных нормах”, Матем. сб., 215:10 (2024), 146–166
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B. Kashin, S. Konyagin, V. Temlyakov, “Sampling discretization of the uniform norm”, Constr. Approx., 57:2 (2023), 663
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Y. Xu, A. Narayan, “Randomized weakly admissible meshes”, Journal of Approximation Theory, 285 (2023), 105835
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F. Dai, V. Temlyakov, “Universal sampling discretization”, Constr. Approx., 58 (2023), 589–-613
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D. Freeman, D. Ghoreishi, “Discretizing $L_p$ norms and frame theory”, Journal of Mathematical Analysis and Applications, 519:2 (2023), 126846
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F. Dai, E. Kosov, V. Temlyakov, “Some improved bounds in sampling discretization of integral norms”, Journal of Functional Analysis, 285:4 (2023), 109951
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F. Dai, A. Prymak, “Optimal polynomial meshes exist on any multivariate convex domain”, Found Comput. Math., 2023