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This article is cited in 4 scientific papers (total in 4 papers)
Optimization of the frequency polygon method with track-length estimators for the global solution of the transport equation
E. V. Shkarupa
Institute of Computational Mathematics and Mathematical Geophysics (Computing Center), Siberian Branch of the Russian Academy of Sciences, Novosibirsk
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Computational Mathematics and Mathematical Physics, 2003, 43:3, 420–432
Bibliographic databases:
 
UDC:
519.634
MSC: Primary 65C05; Secondary 82C80
Received: 22.03.2002
Revised: 16.09.2002
Citation:
E. V. Shkarupa, “Optimization of the frequency polygon method with track-length estimators for the global solution of the transport equation”, Zh. Vychisl. Mat. Mat. Fiz., 43:3 (2003), 440–452; Comput. Math. Math. Phys., 43:3 (2003), 420–432
Citation in format AMSBIB
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\by E.~V.~Shkarupa
\paper Optimization of the frequency polygon method with track-length estimators for the global solution of the transport equation
\jour Zh. Vychisl. Mat. Mat. Fiz.
\yr 2003
\vol 43
\issue 3
\pages 440--452
\mathnet{http://mi.mathnet.ru/zvmmf1052}
\mathscinet{http://www.ams.org/mathscinet-getitem?mr=1994404}
\zmath{https://zbmath.org/?q=an:1079.65009}
\transl
\jour Comput. Math. Math. Phys.
\yr 2003
\vol 43
\issue 3
\pages 420--432
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http://mi.mathnet.ru/eng/zvmmf1052 http://mi.mathnet.ru/eng/zvmmf/v43/i3/p440
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This publication is cited in the following articles:
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Makarov R.N., Shkarupa E.V., “Stochastic algorithms with Hermite cubic spline interpolation for global estimation of solutions of boundary value problems”, SIAM J Sci Comput, 30:1 (2007), 169–188
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Plotnikov M.Yu., Shkarupa E.V., “Construction of an upper error bound and optimization of the test particle method”, Russian J Numer Anal Math Modelling, 23:3 (2008), 251–264
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Plotnikov M.Yu., Shkarupa E.V., “Application of the Theory of Functional Monte Carlo Algorithms to Optimization of the DSMC Method”, Rarefied Gas Dynamics, AIP Conference Proceedings, 1084, 2009, 377–382
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Plotnikov M.Yu., Shkarupa E.V., “Estimation of the Statistical Error and the Choice of Parameters in the Method of Test Particles”, Russ. J. Numer. Anal. Math. Model, 27:2 (2012), 155–173
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