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  1. A Hyperbolic Model of Strongly Nonlinear Waves in Two-Layer Flows of an Inhomogeneous Fluid

    Ermishina, V. E., 2022, In: Journal of Applied and Industrial Mathematics. 16, 4, p. 659-671 13 p.

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

  2. A Hybrid Method for Solving the Two-Dimensional Poisson Equation: Combining U-Net and Conjugate Gradient Method

    Sakharov, D. I., Tsgoev, C. A. & Mullyadzhanov, R. I., 2025, In: Lobachevskii Journal of Mathematics. 46, 8, p. 3777-3790 14 p.

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

  3. A Hybrid Local Search Algorithm for the Consistent Periodic Vehicle Routing Problem

    Kulachenko, I. N. & Kononova, P. A., 1 May 2020, In: Journal of Applied and Industrial Mathematics. 14, 2, p. 340-352 13 p.

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

  4. A hybrid kinetic-thermodynamic Monte Carlo model for simulation of homogeneous burst nucleation

    Sabelfeld, K. K. & Eremeev, G., 1 Sept 2018, In: Monte Carlo Methods and Applications. 24, 3, p. 193-202 10 p.

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

  5. A Hybrid Algorithm for the Drilling Rig Routing Problem

    Kulachenko, I. N. & Kononova, P. A., Apr 2021, In: Journal of Applied and Industrial Mathematics. 15, 2, p. 261-276 16 p.

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

  6. 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

  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. Aggregation Tree Construction Using Hierarchical Structures

    Ерзин, А. И., Плотников, Р. & Ладыгин, И. С., 2023, Mathematical Optimization Theory and Operations Research - 22nd International Conference, MOTOR 2023, Proceedings. Goos, G. & Hartmanis, J. (eds.). Springer, p. 101-114 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13930 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  9. 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

  10. A fully polynomial-time approximation scheme for a special case of a balanced 2-clustering problem

    Kel’manov, A. & Motkova, A., 2016, Discrete Optimization and Operations Research - 9th International Conference, DOOR 2016, Proceedings. Khachay, M., Pardalos, P., Kochetov, Y., Beresnev, V. & Nurminski, E. (eds.). Springer, p. 182-192 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9869 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

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