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Marchenko, Mikhail Aleksandrovich

Statistics Math-Net.Ru
Total publications: 8
Scientific articles: 8
Presentations: 1

Number of views:
This page:819
Abstract pages:2231
Full texts:1293
References:229
Candidate of physico-mathematical sciences
E-mail:
Keywords: numerical stochastis simulation, kinetic equations.
UDC: 519.245, 519.676
MSC: 60J60

Subject:

numerical stochastis simulation, solving kinetic equations with numerical methods

   
Main publications:
  1. M. A. Marchenko, “A study of a parallel statistical modelling algorithm for solution of the nonlinear coagulation equation”, Russ. J. Numer. Anal. Math. Modelling, 23:6 (2008), 597–613
  2. M. A. Marchenko, “Majorant frequency principle for an approximate solution of a nonlinear spatially inhomogeneous coagulation equation by the Monte Carlo metho”, Russ. J. Numer. Anal. Math. Modelling, 21:3 (2006), 199–218
  3. G. Z. Lotova and M. A. Marchenko and G. A. Mikhailov and S. V. Rogazinskii and S. A. Ukhinov and V. A. Shklyaev, “Majorant frequency principle for an approximate solution of a nonlinear spatially inhomogeneous coagulation equation by the Monte Carlo metho”, Russ. J. Numer. Anal. Math. Modelling, 29:4 (2014), 251–263

https://www.mathnet.ru/eng/person51474
List of publications on Google Scholar
List of publications on ZentralBlatt
https://mathscinet.ams.org/mathscinet/MRAuthorID/687987

Publications in Math-Net.Ru Citations
2017
1. M. A. Marchenko, T. A. Sushkevich, “Parallel simulation of kinetic processes by Monte Carlo method (dedicated to the memory of the Chief Theoretician of Cosmonautics academician M.V. Keldysh in the 60th anniversary of the launch of the first artificial sputnik)”, Num. Meth. Prog., 18:4 (2017),  434–446  mathnet 1
2013
2. B. M. Glinskiy, M. A. Marchenko, B. G. Mikhailenko, A. S. Rodionov, I. G. Chernykh, D. I. Podkorytov, D. A. Karavaev, D. V. Vins, “Simulation modeling of parallel algorithms for exaflop supercomputers”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2013, no. 4,  3–14  mathnet
3. M. A. Marchenko, “Effective use of multicore coprocessors in supercomputer stochastic simulation of electron avalanches”, Vestn. YuUrGU. Ser. Vych. Matem. Inform., 2:4 (2013),  80–93  mathnet
2012
4. B. M. Glinsky, A. S. Rodionov, M. A. Marchenko, D. I. Podkorytov, D. V. Weins, “Agent-Oriented Approach to Simulate Exaflop Supercomputer with Application to Distributed Stochastic Simulation”, Vestnik YuUrGU. Ser. Mat. Model. Progr., 2012, no. 12,  93–106  mathnet
2007
5. M. A. Marchenko, G. A. Mikhailov, “Distributed computing by the Monte Carlo method”, Avtomat. i Telemekh., 2007, no. 5,  157–170  mathnet  mathscinet  zmath; Autom. Remote Control, 68:5 (2007), 888–900  scopus 15
2005
6. M. A. Marchenko, “Monte Carlo simulation of spatially inhomogeneous coagulation of particles altogether with their diffusion”, Sib. Zh. Vychisl. Mat., 8:3 (2005),  245–258  mathnet  zmath
2004
7. M. A. Marchenko, “The program package MONC for distributed computations by Monte Carlo method”, Sib. Zh. Vychisl. Mat., 7:1 (2004),  43–55  mathnet  zmath 9
2003
8. M. A. Marchenko, G. A. Mikhailov, “Weighted algorithms for the statistical modeling of diffusion processes”, Zh. Vychisl. Mat. Mat. Fiz., 43:4 (2003),  571–584  mathnet  mathscinet  zmath; Comput. Math. Math. Phys., 43:4 (2003), 547–559 4

Presentations in Math-Net.Ru
1. Математические задачи комплексного экологического мониторинга и прогнозирования
M. A. Marchenko

August 12, 2021 15:20

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