E. D. Kosov, V. N. Temlyakov, “Sampling recovery of functions with mixed smoothness”, Adv. Oper. Theory, 10:2 (2025)
F. Dai, V. Temlyakov, “Universal discretization and sparse recovery”, Journal of Approximation Theory, 2025, 106199
Serzhan Bassarov, Erlan Nursultanov, “New Cubature Formulas for Sobolev Spaces with Dominant Mixed Derivative”, J Math Sci, 2025
Aigul Myrzagaliyeva, Gabdolla Akishev, “Estimates for the Best M-Term Approximations of Functions of Class ${\text{W}}_{q,\tau ,\theta }^{a,b\left(\cdot \right),\overline{r} }$ in the Lorentz Space”, J Math Sci, 2025
Г. А. Акишев, “Об оценках порядка наилучших $M$–членных приближений функций многих переменных в анизотропном пространстве Лоренца–Караматы”, Уфимск. матем. журн., 15:1 (2023), 3–21 ; G. A. Akishev, “On estimates for orders of best $M$-term approximations of multivariate functions in anisotropic Lorentz–Karamata spaces”, Ufa Math. J., 15:1 (2023), 1–20
G. Akishev, A. Myrzagaliyeva, “ON ESTIMATES OF M-TERM APPROXIMATIONS ON CLASSES OF FUNCTIONS WITH BOUNDED MIXED DERIVATIVE IN THE LORENTZ SPACE”, J Math Sci, 266:6 (2022), 870
V. K. Nguyen, V. D. Nguyen, “Best n-Term Approximation of Diagonal Operators and Application to Function Spaces with Mixed Smoothness”, Anal Math, 48:4 (2022), 1127
В. Н. Темляков, “Дискретизация интегральных норм полиномов с гармониками из гиперболического креста по значениям в точках”, Труды МИАН, 312 (2021), 282–293 ; V. N. Temlyakov, “Sampling Discretization of Integral Norms of the Hyperbolic Cross Polynomials”, Proc. Steklov Inst. Math., 312 (2021), 270–281
Sjoerd Dirksen, Tino Ullrich, “Gelfand numbers related to structured sparsity and Besov space embeddings with small mixed smoothness”, Journal of Complexity, 48 (2018), 69
Б. С. Кашин, Ю. В. Малыхин, К. С. Рютин, “Поперечник по Колмогорову и аппроксимативный ранг”, Труды МИАН, 303 (2018), 155–168 ; B. S. Kashin, Yu. V. Malykhin, K. S. Ryutin, “Kolmogorov width and approximate rank”, Proc. Steklov Inst. Math., 303 (2018), 140–153