New Monte Carlo global weight method for the approximate solution of the nonlinearBoltzmann equation
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| 024 | 7 | 0 | |a 10.1515/1569398041126492 |2 doi |
| 035 | |a (NATIONALLICENCE)gruyter-10.1515/1569398041126492 | ||
| 245 | 0 | 0 | |a New Monte Carlo global weight method for the approximate solution of the nonlinearBoltzmann equation |h [Elektronische Daten] |c [M. S. Ivanov, M. A. Korotchenko, G. A. Mikhailov, S. V. Rogasinsky] |
| 520 | 3 | |a We develop new weight modifications of the method of direct statistical simulation for the approximate solution of the nonlinear Boltzmann equation by using the ingenious procedure proposed by the authors, viz. the stratification of collision distribution in a many-particle system by the number of a pair of interacting particles. We check the appropriate weight algorithms for the model problem with the known solution. They allow us to estimate the variations of functionals under small changes of parameters. | |
| 540 | |a Copyright 2004, Walter de Gruyter | ||
| 700 | 1 | |a Ivanov |D M. S. |u ∗ Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch of theRussian Academy of Sciences, Novosibirsk 630090, Russia |4 aut | |
| 700 | 1 | |a Korotchenko |D M. A. |u ∗ Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch of theRussian Academy of Sciences, Novosibirsk 630090, Russia |4 aut | |
| 700 | 1 | |a Mikhailov |D G. A. |u ∗ Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch of theRussian Academy of Sciences, Novosibirsk 630090, Russia |4 aut | |
| 700 | 1 | |a Rogasinsky |D S. V. |u ∗ Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch of theRussian Academy of Sciences, Novosibirsk 630090, Russia |4 aut | |
| 773 | 0 | |t Russian Journal of Numerical Analysis and Mathematical Modelling |d Walter de Gruyter |g 19/3(2004-06-01), 223-238 |x 0927-6467 |q 19:3<223 |1 2004 |2 19 |o rnam | |
| 856 | 4 | 0 | |u https://doi.org/10.1515/1569398041126492 |q text/html |z Onlinezugriff via DOI |
| 908 | |D 1 |a research article |2 jats | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1515/1569398041126492 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Ivanov |D M. S. |u ∗ Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch of theRussian Academy of Sciences, Novosibirsk 630090, Russia |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Korotchenko |D M. A. |u ∗ Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch of theRussian Academy of Sciences, Novosibirsk 630090, Russia |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Mikhailov |D G. A. |u ∗ Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch of theRussian Academy of Sciences, Novosibirsk 630090, Russia |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Rogasinsky |D S. V. |u ∗ Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch of theRussian Academy of Sciences, Novosibirsk 630090, Russia |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Russian Journal of Numerical Analysis and Mathematical Modelling |d Walter de Gruyter |g 19/3(2004-06-01), 223-238 |x 0927-6467 |q 19:3<223 |1 2004 |2 19 |o rnam | ||
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