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  1. Mathematical model of the flotation complex particle-bubble within the framework of Lagrangian formalism

    Moshkin, N. P. & Kondratiev, S. A., 20 Nov 2020, In: Journal of Physics: Conference Series. 1666, 1, 012037.

    Research output: Contribution to journal › Conference article › peer-review

  2. Method of Digraphs for Multi-dimensional Screening

    Kokovin, S. & Nahata, B., 1 Jun 2017, In: Annals of Operations Research. 253, 1, p. 431-451 21 p.

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

  3. Methodology for assessing the competitive advantages of agriculture in the Northern regions of Kazakhstan

    Zhussupov, R. S., Baizholova, R. A., Dubina, I. N. & Sadykova, G. T., 1 Jan 2018, In: Espacios. 39, 16

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

  4. Modeling of the Regional System of Municipal Solid Waste Management, Taking into Account Environmental and Economic Efficiency Factors

    Gilmindinov, V. M. & Rogachev, N. S., 2024, In: Journal of Siberian Federal University - Humanities and Social Sciences. 17, 3, p. 506-517 12 p.

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

  5. Modeling wave modes for a countercurrent flow of film and turbulent gas

    Tsvelodub, Y., 15 Dec 2020, In: Journal of Physics: Conference Series. 1675, 1, 012041.

    Research output: Contribution to journal › Conference article › peer-review

  6. Monopolistic competition model: The impact of technological innovation on equilibrium and social optimality

    Antoshchenkova, I. V. & Bykadorov, I. A., 1 Mar 2017, In: Automation and Remote Control. 78, 3, p. 537-556 20 p.

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

  7. Monopolistic competition model with different technological innovation and consumer utility levels

    Bykadorov, I. A., 1 Jan 2017, In: CEUR Workshop Proceedings. 1987, p. 108-114 7 p.

    Research output: Contribution to journal › Conference article › peer-review

  8. Monopolistic Competition Model with Retailing

    Tilzo, O. & Bykadorov, I., 2020, Mathematical Optimization Theory and Operations Research - 19th International Conference, MOTOR 2020, Revised Selected Papers. Kochetov, Y., Bykadorov, I. & Gruzdeva, T. (eds.). Springer, p. 287-301 15 p. (Communications in Computer and Information Science; vol. 1275 CCIS).

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

  9. Monopolistic competition with investments in productivity

    Bykadorov, I., 1 Nov 2019, In: Optimization Letters. 13, 8, p. 1803-1817 15 p.

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

  10. More layers! End-to-end regression and uncertainty on tabular data with deep learning

    Бондаренко, И., 7 Dec 2021, 12 p. (arXiv)

    Research output: Book/Report › Preprint

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