- Jochen Garcke, 88, Sparse Grids and Applications, 2012, 57
- Erich Novak, 163, Monte Carlo and Quasi-Monte Carlo Methods, 2016, 161
- Frances Y. Kuo, Ian H. Sloan, Henryk Woźniakowski, Monte Carlo and Quasi-Monte Carlo Methods 2004, 2006, 289
- G. Byrenheid, T. Ullrich, “Optimal sampling recovery of mixed order Sobolev embeddings via discrete Littlewood–Paley type characterizations”, Anal Math, 43, no. 2, 2017, 133
- Feng Dai, Andriy Prymak, Vladimir Nikolaevich Temlyakov, Sergei Yur'evich Tikhonov, “Дискретизация интегральной нормы и близкие задачи”, Успехи математических наук, 74, no. 4(448), 2019, 3
- N. Temirgaliev, S. S. Kudaibergenov, A. A. Shomanova, “Applications of Smolyak quadrature formulas to the numerical integration of Fourier coefficients and in function recovery problems”, Russ Math., 54, no. 3, 2010, 45
- Fred J. Hickernell, Ian H. Sloan, Grzegorz W. Wasilkowski, “A Piecewise Constant Algorithm for WeightedL1Approximation over Bounded or Unbounded Regions in $\R^s$”, SIAM J. Numer. Anal., 43, no. 3, 2005, 1003
- Ben Adcock, Alexei Shadrin, “Fast and Stable Approximation of Analytic Functions from Equispaced Samples via Polynomial Frames”, Constr Approx, 57, no. 2, 2023, 257
- Dinh Dũng, “B-spline quasi-interpolant representations and sampling recovery of functions with mixed smoothness”, Journal of Complexity, 27, no. 6, 2011, 541
- Vladimir Nikolaevich Temlyakov, “Конструктивные разреженные тригонометрические приближения и другие задачи для функций смешанной гладкости”, Математический сборник, 206, no. 11, 2015, 131