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The Use of the Scalar Monte Carlo Estimators for the Optimization of the Corresponding Vector Weight Algorithms

V.B. Melas et al. (eds.), Topics in Statistical Simulation, Springer Proceedings in Mathematics & Statistics 114, New York: Springer Science+Business Media, 2014. P. 371-380, doi 10.1007/978-1-4939-2104-1_35

Using Simulation System AGNES for Modeling Execution of Parallel Algorithms on Supercomputers

Proceedings of the 2014 International Conference on System, Control, Signal Processing and Informatics (SCSI’2014), Prague, Czech Republic, April 2-4, 2014, p. 66-70

Monte Carlo Algorithm for Simulation of the Vehicular Traffic Flow Within the Kinetic Model with Velocity Dependent Thresholds

In: V.B. Melas et al. (eds.), Topics in Statistical Simulation, Springer Proceedings in Mathematics & Statistics, Vol. 114. 2014, p.105-113, doi 10.1007/978-1-4939-2104-1_10 )

Approach to evaluation of time-dependence of sampled realizations in the DSMC method

Akademgorodok, Novosibirsk, Russia, June 8-11, 2014

Approximate approach to evaluation of the DSMC statistical error

Xi'an, China, July 13-18, 2014

Оценка статистической погрешности метода прямого статистического моделирования.

Журнал вычислительной математики и математической физики. 2010. Т. 50, No. 2, с. 1-10. (перевод: M. Yu. Plotnikov and E. V. Shkarupa, Estimation of the Statistical Error of the Direct Simulation Monte Carlo Method.

Some approaches to error analysis and optimization of the DSMC method

Russian J. Numer. Anal. Math. Modelling. 2010. Vol. 25, No. 2, pp. 147-167. DOI: 10.1515/RJNAMM.2010.010

Statistical Error and Optimal Parameters of the Test Particle Monte Carlo Method

Proc. 28th Intern. Symp. on Rarefied Gas Dynamics, edited by M. Mareschal, A. Santos, AIP Conference Proceedings,1501, Melville, New York, 2012. V. 2. P. 880-886. DOI: 10.1063/1.4769635

Comparison of Different Approaches to Evaluation of Statistical Error of the DSMC Method

Proc. 28th Intern. Symp. on Rarefied Gas Dynamics, edited by M. Mareschal, A. Santos, AIP Conference Proceedings,1501, Melville, New York, 2012. V. 1. P. 503-510. DOI: 10.1063/1.4769580

Estimation of the statistical error and the choice of parameters in the method of test particles

Russian J. Numer. Anal. Math. Modelling. 2012. Vol. 27, No. 2, pp. 155-174. DOI: 10.1515/rnam-2012-0009

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