1. A global random walk on grid algorithm for second order elliptic equations

    Sabelfeld, K. K. & Smirnov, D., 1 Sept 2021, In: Monte Carlo Methods and Applications. 27, 3, p. 211-225 15 p., 20212092.

    Research output: Contribution to journalArticlepeer-review

  2. A Given Diameter MST on a Random Graph

    Gimadi, E. K., Shevyakov, A. S. & Shtepa, A. A., 2020, Optimization and Applications - 11th International Conference, OPTIMA 2020, Proceedings. Olenev, N., Evtushenko, Y., Khachay, M. & Malkova, V. (eds.). Springer, p. 110-121 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12422 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  3. Agent-based modeling of COVID-19 outbreaks for New York state and UK: Parameter identification algorithm

    Krivorotko, O., Sosnovskaia, M., Vashchenko, I., Kerr, C. & Lesnic, D., Mar 2022, In: Infectious Disease Modelling. 7, 1, p. 30-44 15 p.

    Research output: Contribution to journalArticlepeer-review

  4. Advancing graph neural network architecture for fluid flow and heat transfer surrogate modeling: Variable boundary conditions and geometry

    Travnikov, V., Plokhikh, I. & Mullyadzhanov, R., 1 Dec 2024, In: Physics of Fluids. 36, 12, 127117.

    Research output: Contribution to journalArticlepeer-review

  5. Additive Differentials for ARX Mappings with Probability Exceeding 1/4

    Mokrousov, A. S. & Kolomeec, N. A., Jun 2024, In: Journal of Applied and Industrial Mathematics. 18, 2, p. 294-311 18 p., 11.

    Research output: Contribution to journalArticlepeer-review

  6. Active control study in a flow in a model combustion chamber with LES

    Palkin, E., Kundashkin, A., Hrebtov, M. & Mullyadzhanov, R., 14 Oct 2024, In: E3S Web of Conferences. 578, 7 p., 01027.

    Research output: Contribution to journalConference articlepeer-review

  7. A Coercive Estimate for the Nonhomogeneous Differential Operator on the Heisenberg Group

    Исангулова, Д. В., May 2024, In: Siberian Mathematical Journal. 65, 3, p. 663-679 17 p.

    Research output: Contribution to journalArticlepeer-review

  8. 4th International Conference Groups and quandlcs in low-dimensional topology, Tomsk, July 5 - 8, 2021

    Abrosimov, N. V., Gorbounov, V. G., Nechaev, S. K., Singh, M. & Vesnin, A. Y., 2021, In: Siberian Electronic Mathematical Reports. 18, 2, p. 30-43 14 p.

    Research output: Contribution to journalArticlepeer-review

  9. 4-Scale model for macromolecule conversion over mesoporous and hierarchical alumina catalysts

    Parkhomchuk, E. V., Bazaikin, Y. V., Malkovich, E. G., Lysikov, A. I., Vorobieva, E. E., Fedotov, K. V. & Kleymenov, A. V., 1 Feb 2021, In: Chemical Engineering Journal. 405, 126551.

    Research output: Contribution to journalArticlepeer-review

  10. 3D Visualization of Brain Tumors via Artificial Intelligence

    Letyagin, A., Amelina, E., Tuchinov, B., Groza, V., Tolstokulakov, N., Amelin, M., Golushko, S. & Pavlovskiy, E., 26 May 2021, Proceedings - 2021 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2021. Institute of Electrical and Electronics Engineers Inc., p. 280-283 4 p. 9496040. (Proceedings - 2021 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2021).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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