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  1. Algorithm for 3D quantification of abdominal aortic shagginess based on lumen morphology analysis using CTA images

    Fedotova, Y. V., Amelina, E. V., Mullyadzhanov, R. I. & Karpenko, A. A., Jun 2024, In: Journal of Applied Mechanics and Technical Physics. 65, 3, p. 573-581 9 p., 19.

    Research output: Contribution to journal › Article › peer-review

  2. Algebraic Closures in Divisible Rigid Groups

    Romanovskii, N. S., Jul 2024, In: Siberian Mathematical Journal. 65, 4, p. 840-845 6 p.

    Research output: Contribution to journal › Article › peer-review

  3. A large-deviation principle for birth-death processes with a linear rate of downward jumps

    Logachov, A., Suhov, Y., Vvedenskaya, N. & Yambartsev, A., 2023, In: Journal of Applied Probability. 61, 3, p. 781-801 21 p.

    Research output: Contribution to journal › Article › peer-review

  4. A historical note on the 3/2-approximation algorithm for the metric traveling salesman problem

    van Bevern, R. & Slugina, V. A., Nov 2020, In: Historia Mathematica. 53, p. 118-127 10 p.

    Research output: Contribution to journal › Article › peer-review

  5. A Global Random Walk on Spheres algorithm for calculating the solution and its derivatives of the drift-diffusion-reaction equations

    Sabelfeld, K. & Kireeva, A., Feb 2022, In: Mathematical Methods in the Applied Sciences. 45, 3, p. 1420-1431 12 p.

    Research output: Contribution to journal › Article › peer-review

  6. 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 journal › Article › peer-review

  7. 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 proceeding › Conference contribution › Research › peer-review

  8. 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 journal › Article › peer-review

  9. 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 journal › Article › peer-review

  10. 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 journal › Article › peer-review

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