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Publications in Math-Net.Ru |
Citations |
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2024 |
1. |
Yu. Yu. Ogorodnikov, R. A. Rudakov, D. M. Khachai, M. Yu. Khachay, “Fault-tolerant families of production plans: mathematical model, computational complexity, and branch-and-bound algorithms”, Zh. Vychisl. Mat. Mat. Fiz., 64:6 (2024), 940–958 ; Comput. Math. Math. Phys., 64:6 (2024), 1193–1210 |
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2023 |
2. |
E. D. Neznakhina, Yu. Yu. Ogorodnikov, K. V. Ryzhenko, M. Yu. Khachay, “Approximation algorithms with constant factors for a series of asymmetric routing problems”, Dokl. RAN. Math. Inf. Proc. Upr., 514:1 (2023), 89–97 ; Dokl. Math., 108:3 (2023), 499–505 |
3. |
M. Yu. Khachay, E. D. Neznakhina, K. V. Ryzhenko, “Polynomial-Time Approximability of the Asymmetric Problem of Covering a Graph by a Bounded Number of Cycles”, Trudy Inst. Mat. i Mekh. UrO RAN, 29:3 (2023), 261–273 ; Proc. Steklov Inst. Math. (Suppl.), 323, suppl. 1 (2023), S121–S132 |
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4. |
Ksenia Ryzhenko, Katherine Neznakhina, Michael Khachay, “Fixed ratio polynomial time approximation algorithm for the Prize-Collecting Asymmetric Traveling Salesman Problem”, Ural Math. J., 9:1 (2023), 135–146 |
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2022 |
5. |
D. Yu. Turdakov, A. I. Avetisyan, K. V. Arkhipenko, A. V. Antsiferova, D. S. Vatolin, S. S. Volkov, A. V. Gasnikov, D. A. Devyatkin, M. D. Drobyshevskiy, A. P. Kovalenko, M. I. Krivonosov, N. V. Lukashevich, V. A. Malykh, S. I. Nikolenko, I. V. Oseledets, A. I. Perminov, I. V. Sochenkov, M. M. Tihomirov, A. N. Fedotov, M. Yu. Khachay, “Trusted artificial intelligence: challenges and promising solutions”, Dokl. RAN. Math. Inf. Proc. Upr., 508 (2022), 13–18 ; Dokl. Math., 106:suppl. 1 (2022), S9–S13 |
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6. |
M. Yu. Khachay, E. D. Neznakhina, K. V. Ryzhenko, “Constant-Factor Approximation Algorithms for a Series of Combinatorial Routing Problems Based on the Reduction to the Asymmetric Traveling Salesman Problem”, Trudy Inst. Mat. i Mekh. UrO RAN, 28:3 (2022), 241–258 ; Proc. Steklov Inst. Math. (Suppl.), 319, suppl. 1 (2022), S140–S155 |
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2021 |
7. |
Yu. Yu. Ogorodnikov, M. Yu. Khachay, “Approximation of the capacitated vehicle routing problem with a limited number of routes in metric spaces of fixed doubling dimension”, Zh. Vychisl. Mat. Mat. Fiz., 61:7 (2021), 1206–1219 ; Comput. Math. Math. Phys., 61:7 (2021), 1194–1206 |
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2020 |
8. |
M. Yu. Khachay, Yu. Yu. Ogorodnikov, “Efficient approximation of the capacitated vehicle routing problem in a metric space of an arbitrary fixed doubling dimension”, Dokl. RAN. Math. Inf. Proc. Upr., 493 (2020), 74–80 ; Dokl. Math., 102:1 (2020), 324–329 |
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2019 |
9. |
M. Yu. Khachay, Yu. Yu. Ogorodnikov, “Haimovich-Rinnooy Kan polynomial-time approximation scheme for the CVRP in metric spaces of a fixed doubling dimension”, Trudy Inst. Mat. i Mekh. UrO RAN, 25:4 (2019), 235–248 |
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2018 |
10. |
M. Yu. Khachay, Yu. Yu. Ogorodnikov, “Polynomial time approximation scheme for the capacitated vehicle routing problem with time windows”, Trudy Inst. Mat. i Mekh. UrO RAN, 24:3 (2018), 233–246 ; Proc. Steklov Inst. Math. (Suppl.), 307, suppl. 1 (2019), S51–S63 |
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2017 |
11. |
M. Yu. Khachai, D. M. Khachai, V. S. Pankratov, “Attainable best guarantee for the accuracy of $k$-medians clustering in $[0,1]$”, Trudy Inst. Mat. i Mekh. UrO RAN, 23:4 (2017), 301–310 |
12. |
M. Yu. Khachay, E. D. Neznakhina, “Solvability of the Generalized Traveling Salesman Problem in the class of quasi- and pseudopyramidal tours”, Trudy Inst. Mat. i Mekh. UrO RAN, 23:3 (2017), 280–291 |
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2016 |
13. |
M. Yu. Khachai, E. D. Neznakhina, “Approximation Schemes for the Generalized Traveling Salesman Problem”, Trudy Inst. Mat. i Mekh. UrO RAN, 22:3 (2016), 283–292 ; Proc. Steklov Inst. Math. (Suppl.), 299, suppl. 1 (2017), 97–105 |
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14. |
M. Yu. Khachai, R. D. Dubinin, “Approximability of the optimal routing problem in finite-dimensional Euclidean spaces”, Trudy Inst. Mat. i Mekh. UrO RAN, 22:2 (2016), 292–303 ; Proc. Steklov Inst. Math. (Suppl.), 297, suppl. 1 (2017), 117–128 |
12
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15. |
Daniel M. Khachai, Michael Yu. Khachay, “On parameterized complexity of the hitting set problem for axis-parallel squares intersecting a straight line”, Ural Math. J., 2:2 (2016), 117–126 |
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2015 |
16. |
A. G. Chentsov, M. Yu. Khachai, M. Yu. Khachai, “An exact algorithm with linear complexity for a problem of visiting megalopolises”, Trudy Inst. Mat. i Mekh. UrO RAN, 21:3 (2015), 309–317 ; Proc. Steklov Inst. Math. (Suppl.), 295, suppl. 1 (2016), 38–46 |
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2014 |
17. |
M. Yu. Khachai, M. I. Poberii, “Scheme of boosting in the problems of combinatorial optimization induced by the collective training algorithms”, Avtomat. i Telemekh., 2014, no. 4, 81–93 ; Autom. Remote Control, 75:4 (2014), 657–667 |
2
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18. |
M. Yu. Khachai, E. D. Neznakhina, “Polynomial-time approximation scheme for a Euclidean problem on a cycle covering of a graph”, Trudy Inst. Mat. i Mekh. UrO RAN, 20:4 (2014), 297–311 ; Proc. Steklov Inst. Math. (Suppl.), 289, suppl. 1 (2015), 111–125 |
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19. |
E. Kh. Gimadi, A. V. Kel'manov, A. V. Pyatkin, M. Yu. Khachai, “Efficient algorithms with performance estimates for some problems of finding several cliques in a complete undirected weighted graph”, Trudy Inst. Mat. i Mekh. UrO RAN, 20:2 (2014), 99–112 ; Proc. Steklov Inst. Math. (Suppl.), 289, suppl. 1 (2015), 88–101 |
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2013 |
20. |
Vl. D. Mazurov, M. Yu. Khachai, “Boosting and the polynomial approximability of the problem on a minimum affine separating committee”, Trudy Inst. Mat. i Mekh. UrO RAN, 19:2 (2013), 231–236 |
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21. |
I. I. Eremin, E. Kh. Gimadi, A. V. Kel'manov, A. V. Pyatkin, M. Yu. Khachai, “$2$-approximate algorithm for finding a clique with minimum weight of vertices and edges”, Trudy Inst. Mat. i Mekh. UrO RAN, 19:2 (2013), 134–143 ; Proc. Steklov Inst. Math. (Suppl.), 284, suppl. 1 (2014), 87–95 |
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2012 |
22. |
E. G. Pytkeev, M. Yu. Khachai, “Topological properties of measurable structures and sufficient conditions for uniform convergence of frequencies to probabilities”, Avtomat. i Telemekh., 2012, no. 2, 89–98 ; Autom. Remote Control, 73:2 (2012), 291–299 |
23. |
M. Yu. Khachai, M. I. Poberii, “The computational complexity and approximability of a series of geometric covering problems”, Trudy Inst. Mat. i Mekh. UrO RAN, 18:3 (2012), 247–260 ; Proc. Steklov Inst. Math. (Suppl.), 283, suppl. 1 (2013), 64–77 |
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2010 |
24. |
M. Yu. Khachai, “Computational complexity of recognition learning procedures in the class of piecewise-linear committee decision rules”, Avtomat. i Telemekh., 2010, no. 3, 178–189 ; Autom. Remote Control, 71:3 (2010), 528–539 |
4
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25. |
M. Yu. Khachai, “Computational complexity of combinatorial optimization problems induced by collective procedures in machine learning”, Trudy Inst. Mat. i Mekh. UrO RAN, 16:3 (2010), 276–284 ; Proc. Steklov Inst. Math. (Suppl.), 272, suppl. 1 (2011), S46–S54 |
2
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26. |
E. G. Pytkeev, M. Yu. Khachai, “Sigma-compactness of metric Boolean algebras and uniform convergence of frequencies to probabilities”, Trudy Inst. Mat. i Mekh. UrO RAN, 16:1 (2010), 127–139 ; Proc. Steklov Inst. Math. (Suppl.), 272, suppl. 1 (2011), S138–S151 |
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2008 |
27. |
V. D. Mazurov, M. Yu. Khachai, M. I. Poberii, “Combinatorial optimization problems related to the committee polyhedral separability of finite sets”, Trudy Inst. Mat. i Mekh. UrO RAN, 14:2 (2008), 89–102 ; Proc. Steklov Inst. Math. (Suppl.), 263, suppl. 2 (2008), S93–S107 |
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2007 |
28. |
V. D. Mazurov, M. Yu. Khachai, “Parallel computations and committee constructions”, Avtomat. i Telemekh., 2007, no. 5, 182–192 ; Autom. Remote Control, 68:5 (2007), 912–921 |
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2004 |
29. |
V. D. Mazurov, M. Yu. Khachai, “Committees of systems of linear inequalities”, Avtomat. i Telemekh., 2004, no. 2, 43–54 ; Autom. Remote Control, 65:2 (2004), 193–203 |
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2003 |
30. |
V. D. Mazurov, M. Yu. Khachai, “Committee constructions as a generalization of contradictory problems of operations research”, Diskretn. Anal. Issled. Oper., Ser. 2, 10:2 (2003), 56–66 |
1
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2002 |
31. |
V. D. Mazurov, M. Yu. Khachai, A. I. Rybin, “Committee constructions for solving problems of selection, diagnostics, and prediction”, Trudy Inst. Mat. i Mekh. UrO RAN, 8:1 (2002), 66–102 ; Proc. Steklov Inst. Math. (Suppl.), 2002no. , suppl. 1, S67–S101 |
10
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32. |
M. Yu. Khachai, “A game against nature associated with majority-vote decision making”, Zh. Vychisl. Mat. Mat. Fiz., 42:10 (2002), 1609–1616 ; Comput. Math. Math. Phys., 42:10 (2002), 1547–1554 |
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1997 |
33. |
M. Yu. Khachai, “On the existence of a majority committee”, Diskr. Mat., 9:3 (1997), 82–95 ; Discrete Math. Appl., 7:4 (1997), 383–397 |
1
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34. |
M. Yu. Khachaĭ, “Estimate of the number of members in the minimal committee of a system of linear inequalities”, Zh. Vychisl. Mat. Mat. Fiz., 37:11 (1997), 1399–1404 ; Comput. Math. Math. Phys., 37:11 (1997), 1356–1361 |
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2014 |
35. |
V. I. Berdyshev, V. V. Vasin, S. V. Matveev, A. A. Makhnev, Yu. N. Subbotin, N. N. Subbotina, V. N. Ushakov, M. Yu. Khachai, A. G. Chentsov, “Ivan Ivanovich Eremin”, Trudy Inst. Mat. i Mekh. UrO RAN, 20:2 (2014), 5–12 ; Proc. Steklov Inst. Math. (Suppl.), 289, suppl. 1 (2015), 1–8 |
36. |
Yu. G. Evtushenko, M. Yu. Khachai, “In memory of Ivan Ivanovich Eryomin (22.01.1933–21.07.2013)”, Zh. Vychisl. Mat. Mat. Fiz., 54:5 (2014), 887–891 |
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2012 |
37. |
A. I. Kibzun, E. A. Nurminskii, M. Yu. Khachai, “Mathematical Programming: State of the Art”, Avtomat. i Telemekh., 2012, no. 2, 3–4 |
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Presentations in Math-Net.Ru |
1. |
Approximate algorithms with fixed approximation factors for asymmetric route problems of combinatorial optimization M. Yu. Khachay
Scientific seminar on the differential and functional differential equations June 4, 2024 12:00
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2. |
Алгоритмы с теоретическими гарантиями в задачах эффективной маршрутизации мобильных роботов M. Yu. Khachay
General Meeting of the Branch of Mathematical Sciences, RAS, 2021 December 13, 2021
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3. |
Адаптивный эвристический солвер для обобщенной задачи коммивояжера с ограничениями предшествования M. Yu. Khachay, Kudryavtsev A.V., A. A. Petunin
Seminar for Optimization Laboratory October 23, 2020 11:00
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4. |
Эффективная аппроксимируемость задачи маршрутизации транспорта в метрических пространствах фиксированной размерности удвоения M. Yu. Khachay
Seminar for Optimization Laboratory February 14, 2020 11:00
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5. |
Эффективные алгоритмы с гарантированными оценками для маршрутных задач комбинаторной оптимизации M. Yu. Khachay
IX Internet video conference "Day of Mathematics and Mechanics" September 9, 2019 11:40
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6. |
Достижимая гарантия качества кластеризации методом k-медиан на отрезке [0,1] M. Yu. Khachay
Seminar for Optimization Laboratory October 13, 2017 12:00
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7. |
Квазипирамидальные маршруты для обобщенной задачи коммивояжера M. Yu. Khachay
Seminar for Optimization Laboratory October 13, 2017 11:00
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8. |
Аппроксимируемость задачи маршрутизации и близких задач в классе детерминированных алгоритмов M. Yu. Khachay
Mathematical Workshop of the School of Applied Mathematics and Computer Science (MIPT) April 28, 2017 18:30
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9. |
Эффективные алгоритмы для некоторых актуальных обобщений задачи коммивояжера M. Yu. Khachai
Conference of Professors of the RAS in the Department of Mathematical Sciences of the Russian Academy of Sciences June 14, 2016 11:45
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10. |
Approximation of the optimal routing problem for the finite-dimensional spaces M. Yu. Khachai
Seminar of Control System Department June 2, 2016 12:00
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11. |
Точный алгоритм с линейной трудоемкостью для одной задачи обхода мегаполисов M. Yu. Khachai
Seminar for Optimization Laboratory February 12, 2016 11:00
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12. |
Методология решения комбинаторных задач о наименьшей системе представителей и родственных задач M. Yu. Khachai
Seminar for Optimization Laboratory November 6, 2015 11:00
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13. |
Polynomial Time Approximation Scheme for Single-Depot Euclidean Capacitated Vehicle Routing Problem M. Yu. Khachai
Seminar for Optimization Laboratory October 30, 2015 11:00
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14. |
Новые результаты в комбинаторной оптимизации типа задачи коммивояжера M. Yu. Khachai
PreMoLab Seminar October 15, 2014 17:00
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15. |
Polynomial-time approximation scheme for problem of splitting complete Euclidean graph on two minimum weight gamiltonian cycles M. Yu. Khachai, Neznakhina E.D.
Seminar for Optimization Laboratory April 18, 2014 11:00
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