Multicriteria optimization, numerical methods of solving very complex problems, complexity theory, mathematical modeling of the processes of functioning networks, streaming programming, distributed computing
Biography
In 1983 entered the Moscow State University, the faculty of Computational mathematics and Cybernetics. Since 1985 she studied at the Department of Operations Research. In 1988, have successfully finished training and went to work in the Computing Center of RAS. Holds Ph.D. in mathematics. At the present time work in the sector of Operations Research Computing Center of RAS.
Main publications:
Nazarova I.A., “Models and Methods for Solving the Problem of Network Vulnerability”, Journal of Computer and Systems Sciences International, 45:4 (2006), 567–578
Nazarova I.A., “Solution Methods for the Vertex Variant of the Network System Vulnerability Analysis Problem”, Journal of Computer and Systems Sciences International, 48:4 (2009), 581–591
P.E. Golosov, M.V. Kozlov, Yu.E. Malashenko, I.A. Nazarova, and A. F. Ronzhin, “Analysis of Computer Job Control under Uncertainty”, Journal of Computer and Systems Sciences International, 51:1 (2012), 49–64
Yu.E. Malashenko and I.A. Nazarova, “Control Model for Heterogeneous Computational Tasks Based on Guaranteed Estimates of Execution Times”, Journal of Computer and Systems Sciences International, 51:4 (2012), 526–534
Yu.E. Malashenko, I.A. Nazarova, “Controlling Computationally Intensive Heterogeneous Computational Tasks with Directive Deadlines”, Journal of Computer and Systems Sciences International, 51:5 (2012), 628–635
Yu. E. Malashenko, I. A. Nazarova, “Estimates of the resource distribution in the multiuser network with equal internodal loads”, Inform. Primen., 17:1 (2023), 83–88
Yu. E. Malashenko, I. A. Nazarova, “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
2021
5.
Yu. E. Malashenko, I. A. Nazarova, “Analysis of peak load distribution in the multiuser network”, Inform. Primen., 15:4 (2021), 20–26
2020
6.
Yu. E. Malashenko, I. Nazarova, “Approximation of the multiuser network feasible flows set”, Inform. Primen., 14:3 (2020), 81–85
Yu. E. Malashenko, I. A. Nazarova, “Flows distribution estimations at maximum load of multiuser network”, Sistemy i Sredstva Inform., 30:3 (2020), 4–13
Yu. E. Malashenko, I. Nazarova, N. M. Novikova, “Analysis of cluster damages in network systems”, Zh. Vychisl. Mat. Mat. Fiz., 60:2 (2020), 338–348; Comput. Math. Math. Phys., 60:2 (2020), 341–351
Yu. E. Malashenko, I. A. Nazarova, N. M. Novikova, “Vulnerability analysis of multipolar networks after structural damages”, Inform. Primen., 13:1 (2019), 33–39
Yu. E. Malashenko, I. Nazarova, N. M. Novikova, “An approach to the analysis of possible structural damages in multicommodity network systems”, Zh. Vychisl. Mat. Mat. Fiz., 59:9 (2019), 1626–1638; Comput. Math. Math. Phys., 59:9 (2019), 1562–1574
Yu. E. Malashenko, I. A. Nazarova, N. M. Novikova, “Diagrams of the functional vulnerability of flow network systems”, Inform. Primen., 12:1 (2018), 11–17
Yu. E. Malashenko, I. A. Nazarova, N. M. Novikova, “Method of analysis of functional vulnerability of flow network systems”, Inform. Primen., 11:4 (2017), 47–54
Yu. E. Malashenko, I. A. Nazarova, “Analysis of delays in scheduling homogeneous tasks under uncertainty”, Inform. Primen., 8:1 (2014), 12–20
2013
15.
I. K. Kupalov-Yaropolk, Yu. E. Malashenko, I. A. Nazarova, A. F. Ronzhin, “Evaluation methods for efficiency and directive terms of performance of resource-intensive computing tasks”, Inform. Primen., 7:2 (2013), 17–25