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@ARTICLE{Vamos:28609,
author = {Vamos, C. and Suciu, N. and Vereecken, H.},
title = {{G}eneralized random walk algorithm for the numerical
modeling of complex diffusion processes},
journal = {Journal of computational physics},
volume = {186},
issn = {0021-9991},
address = {Orlando, Fla.},
publisher = {Academic Press},
reportid = {PreJuSER-28609},
pages = {527 - 544},
year = {2003},
note = {Record converted from VDB: 12.11.2012},
abstract = {A generalized form of the random walk algorithm to simulate
diffusion processes is introduced. Unlike the usual
approach, at a given time all the particles from a grid node
are simultaneously scattered using the Bernoulli
repartition. This procedure saves memory and computing time
and no restrictions are imposed for the maximum number of
particles to be used in simulations. We prove that for
simple diffusion the method generalizes the finite
difference scheme and gives the same precision for large
enough number of particles. As an example, simulations of
diffusion in random velocity field are performed and the
main features of the stochastic mathematical model are
numerically tested. (C) 2003 Elsevier Science B.V. All
rights reserved.},
keywords = {J (WoSType)},
cin = {ICG-IV},
ddc = {530},
cid = {I:(DE-Juel1)VDB50},
pnm = {Chemie und Dynamik der Geo-Biosphäre},
pid = {G:(DE-Juel1)FUEK257},
shelfmark = {Computer Science, Interdisciplinary Applications / Physics,
Mathematical},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000182615000007},
doi = {10.1016/S0021-9991(03)00073-1},
url = {https://juser.fz-juelich.de/record/28609},
}