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Posypkin, Mikhail Anatol'evich

Statistics Math-Net.Ru
Total publications: 24
Scientific articles: 24
Presentations: 4

Number of views:
This page:1415
Abstract pages:8726
Full texts:1971
References:582
Associate professor
Doctor of physico-mathematical sciences
E-mail:
Keywords: optimization, mathematical programming, desktop grids.
UDC: 519.8, 519.6, 519.852.6, 519.7, 519.626.2, 519.671
MSC: 85A99

Subject:

1. Deterministic methods for mathematical programming problems.
2. Boolean knapsack problems.
3. Parallel and distributed computing methods in optimization.

   
Main publications:
  1. Y. Evtushenko, M. Posypkin, “A deterministic approach to global box-constrained optimization”, Optimization Letters, 7:4 (2013), 819–829
  2. Posypkin, Mikhail and Semenov, Alexander and Zaikin, Oleg, “Using BOINC desktop grid to solve large scale SAT problems”, Computer Science, 13:1 (2012), 25–34
  3. Yu. G. Evtushenko, M. A. Posypkin., “Varianty metoda neravnomernykh pokrytii dlya globalnoi optimizatsii chastichno(tselochislennykh nelineinykh zadach.”, Doklady Akademii nauk, 437:2 (2011), 168–172
  4. Kolpakov R.M., Posypkin M.A., “Verkhnyaya i nizhnyaya otsenki trudoemkosti metoda vetvei i granits dlya zadachi o rantse”, Diskretnaya matematika, 22:1 (2010), 58–73
  5. Y. Evtushenko, M. Posypkin, I. Sigal, “A framework for parallel large-scale global optimization”, Computer Science – Research and Development, 23:3 (2009), 211–215

http://www.mathnet.ru/eng/person34527
List of publications on Google Scholar
List of publications on ZentralBlatt
https://mathscinet.ams.org/mathscinet/MRAuthorID/750558

Publications in Math-Net.Ru
2020
1. M. V. Popov, M. A. Posypkin, “Approximation of the set of solutions of systems of nonlinear inequalities using graphic accelerators”, Inform. Primen., 14:3 (2020),  20–25  mathnet
2. G. A. Amirkhanova, A. Yu. Gorchakov, A. J. Duysenbaeva, M. A. Posypkin, “Multi-start method with deterministic restart mechanism”, Vestnik S.-Petersburg Univ. Ser. 10. Prikl. Mat. Inform. Prots. Upr., 16:2 (2020),  100–111  mathnet
2019
3. R. M. Kolpakov, M. A. Posypkin, “Effective parallelization strategy for the solution of subset sum problems by the branch-and-bound method”, Diskr. Mat., 31:4 (2019),  20–37  mathnet; Discrete Math. Appl., 30:5 (2020), 313–325  isi  scopus
2017
4. R. M. Kolpakov, M. A. Posypkin, Si Tu Tant Sin, “Complexity of solving the Subset Sum problem with the branch-and-bound method with domination and cardinality filtering”, Avtomat. i Telemekh., 2017, 3,  96–110  mathnet  elib; Autom. Remote Control, 78:3 (2017), 463–474  isi  scopus
5. R. M. Kolpakov, M. A. Posypkin, “On the best choice of a branching variable in the subset sum problem”, Diskr. Mat., 29:1 (2017),  51–58  mathnet  elib; Discrete Math. Appl., 28:1 (2018), 29–34  isi  scopus
6. Yu. G. Evtushenko, M. A. Posypkin, L. A. Rybak, A. V. Turkin, “Finding sets of solutions to systems of nonlinear inequalities”, Zh. Vychisl. Mat. Mat. Fiz., 57:8 (2017),  1248–1254  mathnet  elib; Comput. Math. Math. Phys., 57:8 (2017), 1241–1247  isi  scopus
2016
7. Yu. G. Evtushenko, S. A. Lurie, M. A. Posypkin, Yu. O. Solyaev, “Application of optimization methods for finding equilibrium states of two-dimensional crystals”, Zh. Vychisl. Mat. Mat. Fiz., 56:12 (2016),  2032–2041  mathnet  elib; Comput. Math. Math. Phys., 56:12 (2016), 2001–2010  isi  scopus
2015
8. Bo Tian, M. A. Posypkin, I. Kh. Sigal, “Load balancing in solving problems based on estimates of the computational complexity of subproblems”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2015, 1,  10–18  mathnet
2014
9. Yu. G. Evtushenko, M. A. Posypkin, “Method of non-uniform coverages to solve the multicriteria optimization problems with guaranteed accuracy”, Avtomat. i Telemekh., 2014, 6,  49–68  mathnet; Autom. Remote Control, 75:6 (2014), 1025–1040  isi  scopus
10. M. O. Manzyuk, O. S. Zaikin, M. A. Posypkin, “CluBORun: tool for utilizing idle resources of computing clusters in BOINC computing”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2014, 4,  3–11  mathnet
11. K. K. Abgaryan, M. A. Posypkin, “Optimization methods as applied to parametric identification of interatomic potentials”, Zh. Vychisl. Mat. Mat. Fiz., 54:12 (2014),  1994–2001  mathnet  mathscinet  elib; Comput. Math. Math. Phys., 54:12 (2014), 1929–1935  isi  elib  scopus
2013
12. O. S. Zaikin, A. A. Semenov, M. A. Posypkin, “Constructing decomposition sets for distributed solution of sat problems in volunteer computing project sat@home”, UBS, 43 (2013),  138–156  mathnet
13. Yu. G. Evtushenko, M. A. Posypkin, “Nonuniform covering method as applied to multicriteria optimization problems with guaranteed accuracy”, Zh. Vychisl. Mat. Mat. Fiz., 53:2 (2013),  209–224  mathnet  mathscinet  zmath  elib; Comput. Math. Math. Phys., 53:2 (2013), 144–157  isi  elib  scopus
2012
14. M. A. Posypkin, A. V. Turkin, “An algorithm for regions extraction with corrupted ridge and valley structure”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2012, 1,  52–59  mathnet
15. O. S. Zaikin, M. A. Posypkin, A. A. Semenov, “Using volunteer computation to solve cryptographic problems”, Prikl. Diskr. Mat. Suppl., 2012, 5,  107–108  mathnet
2011
16. Yu. G. Evtushenko, M. A. Posypkin, “An application of the nonuniform covering method to global optimization of mixed integer nonlinear problems”, Zh. Vychisl. Mat. Mat. Fiz., 51:8 (2011),  1376–1389  mathnet  mathscinet; Comput. Math. Math. Phys., 51:8 (2011), 1286–1298  isi  scopus
2010
17. R. M. Kolpakov, M. A. Posypkin, I. Kh. Sigal, “On a lower bound on the computational complexity of a parallel implementation of the branch-and-bound method”, Avtomat. i Telemekh., 2010, 10,  156–166  mathnet  mathscinet  zmath; Autom. Remote Control, 71:10 (2010), 2152–2161  isi  scopus
18. R. M. Kolpakov, M. A. Posypkin, “Upper and lower bounds for the complexity of the branch and bound method for the knapsack problem”, Diskr. Mat., 22:1 (2010),  58–73  mathnet  mathscinet  zmath  elib; Discrete Math. Appl., 20:1 (2010), 95–112
2008
19. R. M. Kolpakov, M. A. Posypkin, “Асимптотическая оценка сложности метода ветвей и границ с ветвлением по дробной переменной для задачи о ранце”, Diskretn. Anal. Issled. Oper., 15:1 (2008),  58–81  mathnet  mathscinet  zmath
2007
20. M. A. Posypkin, I. Kh. Sigal, “Application of parallel heuristic algorithms for speeding up parallel implementations of the branch-and-bound method”, Zh. Vychisl. Mat. Mat. Fiz., 47:9 (2007),  1524–1537  mathnet  mathscinet; Comput. Math. Math. Phys., 47:9 (2007), 1464–1476  scopus
2006
21. M. A. Posypkin, I. Kh. Sigal, “Speedup estimates for some variants of the parallel implementations of the branch-and-bound method”, Zh. Vychisl. Mat. Mat. Fiz., 46:12 (2006),  2289–2304  mathnet  mathscinet; Comput. Math. Math. Phys., 46:12 (2006), 2187–2202  scopus
2005
22. M. A. Posypkin, I. Kh. Sigal, “Investigation of algorithms for parallel computations in knapsack-type discrete optimization problems”, Zh. Vychisl. Mat. Mat. Fiz., 45:10 (2005),  1801–1809  mathnet  mathscinet  zmath; Comput. Math. Math. Phys., 45:10 (2005), 1735–1742
2004
23. A. Ya. Kalinov, S. A. Klimov, M. A. Posypkin, G. I. Savin, S. D. Ustyugov, V. M. Chechëtkin, B. M. Shabanov, “Mathematical modeling of a supernova explosion on a parallel computer”, Zh. Vychisl. Mat. Mat. Fiz., 44:5 (2004),  953–960  mathnet  zmath; Comput. Math. Math. Phys., 44:5 (2004), 903–910
1997
24. M. A. Posypkin, “On closed classes containing precomplete classes of the set of all one-place functions”, Vestnik Moskov. Univ. Ser. 1. Mat. Mekh., 1997, 4,  58–59  mathnet  mathscinet  zmath

Presentations in Math-Net.Ru
1. Современные методы непрерывной детерминированной глобальной оптимизации и их приложения
M. A. Posypkin
Colloquium of the Faculty of Computer Science
October 6, 2020 16:20
2. Метод неравномерных покрытий для задачи оптимизации и аппроксимации
Yu. G. Evtushenko, M. A. Posypkin

April 14, 2018 13:00   
3. Global and multi-criteria optimization methods based on the ideology of the branch and bound and non-uniform covers
M. A. Posypkin
All-Moscow regular scientific seminar "Control Theory and Optimization"
October 28, 2014 11:30
4. The solution of high dimension optimization problems with the aid of supercomputers
Yu. G. Evtushenko, M. A. Posypkin
Theoretical Basis of High Performance Computing
March 28, 2011 11:00

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