Äîêóìåíò âçÿò èç êýøà ïîèñêîâîé ìàøèíû. Àäðåñ îðèãèíàëüíîãî äîêóìåíòà : http://io.cmc.msu.ru/ORM2013/Program_ORM2013_RUS.pdf Äàòà èçìåíåíèÿ: Tue Oct 15 12:10:26 2013 Äàòà èíäåêñèðîâàíèÿ: Thu Feb 27 20:10:47 2014 Êîäèðîâêà:

VII (ORM2013)
, 15-19 2013





. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. - , - : () . () () () () () () () () () () () () () () () () 5 6 7 7 8 9 10 10 11 9 11 12 12 12 13 13 .. .. .. .. .. .. .. .. .. .. .. .. .. , .. .. , .. .. , .. ..

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15.10 8:45 9:45 10:00 , - : .. ( ) « » .. Plenary talk by Yu.G. Evtushenko (CCAS RAS) "Effective methods for solving of large-scale optimization problems" Chair I.G. Pospelov : .. ( ) «- » .. Plenary talk by A.A. Vasin (CMC MSU) "Electricity markets: game-theoretic analysis of their mechanisms" Chair I.G. Pospelov .. « EURO» .. "On Russian department of EURO association" by V.V. Mazalov Chair I.G. Pospelov : .. ( ) « VaR » .. Plenary talk by G.A. Agasandyan (CCAS RAS) "Application of the continuous criterion VaR in financial markets" Chair A.V. Lotov : .. ( ) « : » .. Plenary talk by V.V. Podinovsky (NRU HSE) "Criteria importance theory: state-of-the-art" Chair A.V. Lotov : . ( , ) « : ... » .. Plenary talk by B. Stilman (University of Colorado at Denver, USA) "Development of Linguistic Geometry: From Fighting Wars...To Computing Them" Chair Yu.A. Flerov : .. (University of Calabria, Rende (CS), Italy) « » .. Plenary talk by Ya.D. Sergeyev (University of Calabria, Rende (CS), Italy) "Lipschitz global optimization methods" Chair Yu.A. Flerov : .. (« ») « » .. Plenary talk by M.G. Kreynes (BASIC TECHNOLOGIES Llc) "Objectivity or magic of quantity" Chair Yu.A. Flerov

10:45

11:30

11:50 12:20

13:05

13:50 15:15

16:00

16:45

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16.10 9:00 10:20 11:00 14:00 15:15 355 355 . () (-) (15.15 - 17:30) (17:40 - 19:00) (. . 14)
* *

C 113 113 : « ?»

685 1 685 1

526 1 526 1 1

, 17
17.10 , 9:00 / , 5 : .-. « : .. « » » .. .. Plenary talk by G.-W. Weber Plenary talk by Yu.E. Nesterov "Advances in Operational Research "Stochastic equilibrium in congested and Control of Stochastic Dynamics" transportation networks" Chair A.A. Vasin Chair A.V. Gasnikov - CMC MSU welcoming speech : . : .. « « » » .. .. Plenary talk by AndrÈ de Palma Plenary talk by F.T. Aleskerov "Individual and collective discrete choice "Choice Procedures models" for Big Data Analysis" Chair A.V. Gasnikov Chair A.A. Vasin 355* 113 685 526 1 11:10 ­ 14:10 1 15:10

9:45 10:00

10:45 11:10 13:50 15:00
*

355 . , . 42. . 4


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18.10 9:00 / , : .. *, .. « » .. Plenary talk by E.A. Nurminski*, N.B. Shamray "A case study in the development of a system of the regional transport models" Chair Yu.E. Nesterov : .. *, .. , .. , .. « » .. Plenary talk by Yu.V. Dorn, A.V. Gasnikov*, Yu.E. Nesterov, S.V. Shpirko "The Three-Stage Version of Stable Dynamic Model" Chair Yu.E. Nesterov 355 113 2 2 2 2 2 ( )

10:00

11:00 11:30 14:00 15:15 18:00

« » (, , 17 , , 526)
11:10-13:50, ..
1. 2. 3. 4. 5. 6. 7. 8. .. , .. . .. . .. , .. , .. . .. . .. - . .. , .. . .. , .. . .. .

15:00-17:30, ..
1. 2. 3. .. , .. . .. . .. . 5


4. 5. 6. 7.

.. , .. . .. , .. . .. . .. .

« » 1 ( 1, , 16 , , 526)
9:00-10:20, ..
1. 2. 3. 4. V.F. Demyanov, V.N. Malozemov Optimality conditions via alternance. A.V. Dmitruk, I.A. Samylovskiy On the optimal trajectories in a simple material point motion problem in the presence of a nonlinear friction and a bounded fuel expenditure. .. . .. , .. , .

11:00-14:00, ..
1. 2. 3. 4. 5. 6. 7. 8. 9. V.A. Bereznev Selection of extreme vectors of convex polyhedral cone. .. , .. . A.F. Izmailov, A.S. Kurennoy Multiplier methods for optimization problems with Lipschitzian derivatives. .. , .. . O.P. Burdakov, L. Gong, Y.-X. Yuan, S.K. Zikrin On combining limited-memory and trustregion approaches in large-scale optimization. Z.R. Gabidullina An application of linear separability criterion for verifying the non-emptiness of the cones of generalized support vectors. .. , .. . .. , .. , .. . A.V. Arutyunov, D.Yu. Karamzin, F.L. Pereira, G.N. Silva To the study of the impulsive problem with state constraints.

15:15-18:00, ..
1. 2. 3. 4. 5. V.G. Zhadan The variant of dual affine scaling method for linear semidefinite programming problem. .. . A.I. Kosolap The method of the exact quadratic regularization for global optimization. .. . .. , .. - 6


6. 7. 8.

. .. , .. . .. , .. , - . .. .

« » 2 ( 2, , 18 , , 113)
11:30-14:00, ..
1. 2. 3. 4. 5. 6. 7. .. , .. . N.A. Dunichkina, D.I. Kogan, Yu.S. Fedosenko Towards the problem of stationary objects servicing by a mobile-processor. D.I. Kogan, A.S. Kuimova, Yu.S. Fedosenko Problem of object flow scheduling in single processor system with refillable storage components. .. , .. , .. . .. . .. , .. - . .. , .. .

15:15-18:00, ..
1. 2. 3. 4. 5. 6. 7. 8. L.G. Afraimovich Flow algorithms for multi-index axial transportation problem with decomposable costs. .. , .. - . .. , .. , .. , .. , .. . D.A. Zorin Convergence and accuracy measurement of scheduling on multiprocessors with simulated annealing. .. , .. , .. - . .. . .. , .. . G.-W. Weber, A. æzmen Robust counterparts for MARS and CMARS under polyhedral uncertainty.

« » (, , 17 , , 355)
11:10-13:50, ..
1. .. , .. , .. 7


2. 3. 4. 5. 6. 7.

. .. . .. , . .. : . .. . .. , .. . .. , .

15:00-18:00, ..
1. 2. 3. 4. 5. 6. 7. 8. .. , .. . .. , .. , . . .. , .. () , . . , . , . , . , . , . Decerns . .. "" . .. - . .. , .. , .. - . .. .

« » (, , 16 , , )
9:00-10:20, ..
1. 2. 3. 4. .. , .. . .. ( ). .. , .. . A. Cadenillas, P. Lakner, M. Pinedo Optimal production management when there are business cycles.

11:00-14:00, ..
1. .. , .. . 8


2. 3. 4. 5. 6. 7. 8.

.. , .. , .. . E.S. Palamarchuk Long-run optimality, time preference and risk in linear economic systems under uncertainty. .. : , . .. , «» . A.I. Prangishvili, K.J. Kachiashvili, O.B. Shonia Models of Sustainable development of production. .. , .. MERGE: - . .. MERGE.

15:15-18:00, ..
1. 2. 3. 4. 5. 6. 7. 8. 9. E.I. Alekseeva The productivity application of modeling on networks in continuous/discrete media. .. , .. . .. CGS . .. , .. . .. , .. . .. "-" . .. . .. , .. c . .. .

« » « » ( , , 18 , , )
15:15-18:00, ..
1. 2. 3. 4. 5. 6. 7. .. , .. . . .. , .. - . .. , .. « ». .. , .. , .. - . .. , .. , .. , « ». .. , .. , , . .. . 9


« » (, , 16 , , 355)
9:00-10:20, ..
1. 2. 3. 4. 5. .. . .. , .. . .. , .. , .. . .. , .. . .. .

11:00-14:00, ..
1. 2. 3. 4. 5. .. CC-VaR. .. CC-VaR. .. , .. . .. VaR . .. .

« -» (, , 17 , , 113)
11:10-13:50, ..
1. 2. 3. 4. 5. 6. .. , .. . .. --. .. . D. Golembiovsky, A. Abramov Option portfolio management based on stochastic programming. .. . .. , .. - .

15:00-17:00, ..
1. 2. 3. 4. 5. .. , .. - . .. , .. An upper bound on the value of an infinite American option on difference of two assets. O.B. Shonia, I.I. Kartvelishvili, L.G. Bejanishvili Basic Models of Handwritten Symbols. O.B. Shonia Information Security Method (Authentication Methods) Used for Banking System. .. , .. .

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« , » (, , 16 , , 113)
11:00-14:00, ..
1. 2. 3. 4. 5. 6. 7. 8. 9. .. , .. . E.A. Malinina Optimization of the cryogenic channel parameters for the FST production technology. .. , .. . .. , .. . .. . .. , .. - « ­ » . E.A. Gubar, E.M. Zhitkova Impact of personal decision on the epidemic process. .. , .. , .. - . .. .

«- » 1 ( 1, , 16 , , 685)
9:00-10:20, ..
1. 2. 3. 4. .. . V.V. Mazalov, J.S. Tokareva Tender models with expertise of project parameters. A.E. Mentcher Combined arbitration procedure with quadratic payoff function. .. , .. , .. , .



11:00-14:00, ..
1. 2. N.S. Kukushkin Games with ordinal preferences and the single crossing property. .. , .. . 3. D.V. Kuzyutin, M.V. Nikitina On the consistency of weak equilibria in n-person multicriteria games. 4. .. , .. , .. . 5. .. , .. , . 6. .. , .. . 7. .. . 8. .. . 9. V.V. Morozov, K.D. Shalbuzov Zero-sum game of resource allocation. 10. .. , .. - - . 11


«- » 2 ( 2, , 18 , , 355)
11:30-14:00, ..
1. 2. 3. 4. 5. 6. .. , .. -N- . .. - . .. , .. . .. , .. - . .. . .. .

15:15-18:00, ..
1. 2. 3. 4. 5. 6. .. , .. . E.V. Shevkoplyas, D. Gromov Differential games with random duration: a hybrid systems formulation. .. - . A.A. Sergeeva, V.M. Bure Non-cooperative game with asymmetric clients and different service schemes. .. , .. . .. .

« » « : » ( , , 17 , , 685)
11:10-14:10, .. , ..
1. 2. 3. 4. 5. 6. 7. 8. .. , .. . .. , .. . .. . .. , .. . .. , .. , .. . .. , .. , .. : . .. , .. . .. , .. .

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15:10-18:10, .. ..
1. 2. 3. 4. 5. 6. 7. 8. .. , .. . . .. , .. : . . , .. . .. , .. , .-. . .. , .. - . .. - . .. . .. .

« » 1 ( 1, , 17 , , )
11:10-13:50, ..
1. 2. 3. 4. . , .. , .. , .. , .. . . . .. . . .. .

15:00-18:00, ..
1. 2. 3. 4. 5. 6. .. , .. , .. . .. , .. « ­ ». .. . .. , .. , .. . .. . .. , .. (- ).

« » 2 ( 2, , 18 , , 355)
11:30-14:00, ..
1. Yu.V. Dorn, A.V. Gasnikov, Yu.E. Nesterov, S.V. Shpirko The connection between Beckmann and Stable Dynamics model. 13


2. 3. 4. 5.

Yu.V. Dorn, A.V. Gasnikov, Yu.E. Nesterov, S.V.Shpirko Application of Primal-Dual Subgradient Method to Three-Stage Version of Stable Dynamic Model. .. . .. , .. , . . E.L. Pervukhina, V.V. Golikova, J.-F. Emmenegger Operational research for sustainable strategies of cargo transport development.

(-): . () " : " - (, 16 , , 355, 15:15-17:30)
I will explain briefly foundations of Linguistic Geometry (LG) including abstract board games (ABG), languages of trajectories and zones as well as formal grammars generating those languages. The rest of the tutorial will be devoted to the so-called No-Search Approach in LG, the major theoretical result showing that LG generates optimal solutions for a class of opposing games without search. Based on the dynamics of the LG zones, the Terminal Set Expansion permits to expand the subsets of terminal states into "bubbles", i.e., the larger sets of states. For each of the states from those bubbles we can determine a strategy leading to the respective terminal states. It appears that the bubbles of states permit to decompose the entire state space into subspaces. This decomposition called the State Space Chart could serve as a strategic "geographical map" of the state space by providing guidelines for travel from state to state. The Chart permits to construct classes of potential strategies for all the opposing sides and to prune those classes that cannot be implemented for a given problem. Subsequent application of the non-pruned potential strategies leads to construction of the optimal solution ­ the only real strategy existing in this problem. Participants of the tutorial asking the most interesting questions will receive DVDs with record ed narrated demos and pdf copies of recent papers on LG and the Primary Language.

" " : . () - (, 16 , , 355, 17:40-19:00)
Various topics of interest to the audience such as R&D on Linguistic Geometry and Algorithm of Discovery; Computer Science education in the USA; R&D at the universities in the USA; Starting and surviving of research-oriented small & large businesses in the USA; Obtaining government & private funding for R&D for universities and businesses in the USA; other topics.

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