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Nazarova Irina Aleksandrovna

Publications in Math-Net.Ru

  1. Multicommodity flow model for analysis projects of communication network capacity scaling

    Inform. Primen., 19:3 (2025),  36–45
  2. Guaranteed estimates of the multiuser network performance indicators in case of damage

    Inform. Primen., 19:1 (2025),  16–24
  3. Analysis of network performance indicators in case of node damage

    Inform. Primen., 18:3 (2024),  52–60
  4. Analysis of node multiflows in a multiuser network system

    Inform. Primen., 18:1 (2024),  40–45
  5. Multiuser network load analysis by splitting flows along the shortest routes

    Inform. Primen., 17:3 (2023),  33–38
  6. Estimates of the resource distribution in the multiuser network with equal internodal loads

    Inform. Primen., 17:1 (2023),  83–88
  7. Analysis of the distribution of loads and resources in a multiuser network with equal-share internodal flows

    Sistemy i Sredstva Inform., 32:3 (2022),  71–80
  8. Analysis of peak load distribution in the multiuser network

    Inform. Primen., 15:4 (2021),  20–26
  9. Approximation of the multiuser network feasible flows set

    Inform. Primen., 14:3 (2020),  81–85
  10. Flows distribution estimations at maximum load of multiuser network

    Sistemy i Sredstva Inform., 30:3 (2020),  4–13
  11. Analysis of cluster damages in network systems

    Zh. Vychisl. Mat. Mat. Fiz., 60:2 (2020),  338–348
  12. Vulnerability analysis of multipolar networks after structural damages

    Inform. Primen., 13:1 (2019),  33–39
  13. An approach to the analysis of possible structural damages in multicommodity network systems

    Zh. Vychisl. Mat. Mat. Fiz., 59:9 (2019),  1626–1638
  14. Analysis of cutting damages to multipolar networks

    Inform. Primen., 12:3 (2018),  35–41
  15. Diagrams of the functional vulnerability of flow network systems

    Inform. Primen., 12:1 (2018),  11–17
  16. Method of analysis of functional vulnerability of flow network systems

    Inform. Primen., 11:4 (2017),  47–54
  17. Analysis of delays in scheduling homogeneous tasks under uncertainty

    Inform. Primen., 8:1 (2014),  12–20
  18. Evaluation methods for efficiency and directive terms of performance of resource-intensive computing tasks

    Inform. Primen., 7:2 (2013),  17–25


© Steklov Math. Inst. of RAS, 2026