1. Function-Theoretic and Probabilistic Approaches to the Problem of Recovering Functions from Korobov Classes in the Lebesgue Metric.
Mathematics. 2025

2. Computational Strategy for Analyzing Effective Properties of Random Composites—Part I: Conductivity.
Applied Sciences Switzerland. 2025

3. APPLICATION OF AI AND MACHINE LEARNING TO THE THEORY OF COMPOSITE MATERIALS.
Composites Theory and Practice. 2025

4. Anisotropy of Random Two-Dimensional Composites with Circular Inclusions.
Lecture Notes of Ticmi. 2024

5. Formulas for Approximate Calculation of the Chebyshev Coefficients.
Russian Mathematics. 2021

6. Orderly Exact Calculation of Integrals of Products of Functions by the Method of Tensor Products of Functionals.
Russian Mathematics. 2019

7. On Some Special Effects in Theory on Numerical Integration and Functions Recovery.
Russian Mathematics. 2018

8. Approximative capabilities of “Smolyak type” computational aggregates with Dirichlet, Fejér and Valleé-Poussin kernels in the scale of Ul’yanov classes.
Russian Mathematics. 2015

9. An Exact Order of Discrepancy of the Smolyak Grid and Some General Conclusions in the Theory of Numerical Integration.
Foundations of Computational Mathematics. 2012

10. On the order of discrepancy of the Smolyak grid.
Mathematical Notes. 2009