1. Lower Bound Polynomial Fast Procedure for the Resource-Constrained Project Scheduling Problem Tested on PSPLIB Instances

    Gimadi, E. K., Goncharov, E. N. & Shtepa, A. A., 2021, Analysis of Images, Social Networks and Texts - 9th International Conference, AIST 2020, Revised Selected Papers. van der Aalst, W. M., Batagelj, V., Ignatov, D. I., Khachay, M., Koltsova, O., Kutuzov, A., Kuznetsov, S. O., Lomazova, I. A., Loukachevitch, N., Napoli, A., Panchenko, A., Pardalos, P. M., Pelillo, M., Savchenko, A. V. & Tutubalina, E. (eds.). Springer, p. 407-420 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12602 LNCS).

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

  2. Lower Semicontinuity of Distortion Coefficients for Homeomorphisms of Bounded (1, σ)-Weighted (q, p)-Distortion on Carnot Groups

    Vodopyanov, S. K. & Sboev, D. A., Mar 2024, In: Russian Mathematics. 68, 3, p. 70-75 6 p., 7.

    Research output: Contribution to journalArticlepeer-review

  3. Lyapunov instability of the stationary flows of a polymeric fluid in an infinite plane channel with constant flow rate

    Blokhin, A. M., Tkachev, D. L. & Yegitov, A. V., 1 Feb 2022, In: Journal of Mathematical Analysis and Applications. 506, 1, 125541.

    Research output: Contribution to journalArticlepeer-review

  4. Lyapunov instability of the stationary flows of polymeric fluid with constant flow rate

    Blokhin, A. M. & Tkachev, D. L., Dec 2021, In: ZAMM Zeitschrift fur Angewandte Mathematik und Mechanik. 101, 12, e202000384.

    Research output: Contribution to journalArticlepeer-review

  5. Machine Learning Methods for Compensating Signal Distortions in Fiber-Optic Communication Lines

    Sidelnikov, O. S., Redyuk, A. A. & Fedoruk, M. P., Feb 2024, In: Optoelectronics, Instrumentation and Data Processing. 60, 1, p. 1-10 10 p.

    Research output: Contribution to journalArticlepeer-review

  6. Magnus Expansion for the Direct Scattering Transform: High-Order Schemes

    Mullyadzhanov, R. I. & Gelash, A. A., Feb 2021, In: Radiophysics and Quantum Electronics. 63, 9-10, p. 786-803 18 p.

    Research output: Contribution to journalArticlepeer-review

  7. Mathematical and Numerical Modeling of the Pluripotency Gene Network Dynamics

    Golubyatnikov, V. P. & Tatarinova, E. A., 18 Mar 2025, In: Numerical Analysis and Applications. 18, 1, p. 36-43 8 p.

    Research output: Contribution to journalArticlepeer-review

  8. Mathematical Modeling and Forecasting of COVID-19 in Moscow and Novosibirsk Region

    Krivorot’ko, O. I., Kabanikhin, S. I., Zyat’kov, N. Y., Prikhod’ko, A. Y., Prokhoshin, N. M. & Shishlenin, M. A., Oct 2020, In: Numerical Analysis and Applications. 13, 4, p. 332-348 17 p.

    Research output: Contribution to journalArticlepeer-review

  9. Mathematical Modeling of the Wuhan COVID-2019 Epidemic and Inverse Problems

    Kabanikhin, S. I. & Krivorotko, O. I., Nov 2020, In: Computational Mathematics and Mathematical Physics. 60, 11, p. 1889-1899 11 p.

    Research output: Contribution to journalArticlepeer-review

  10. Mathematical problems and solutions of the Ninth International Olympiad in Cryptography NSUCRYPTO

    Idrisova, V. A., Tokareva, N. N., Gorodilova, A. A., Beterov, I. I., Bonich, T. A., Ishchukova, E. A., Kolomeec, N. A., Kutsenko, A. V., Malygina, E. S., Pankratova, I. A., Pudovkina, M. A. & Udovenko, A. N., 2023, In: Прикладная дискретная математика. 62, p. 29-54 26 p., 4.

    Research output: Contribution to journalArticlepeer-review

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