Geodesic
Weight Monte Carlo algorithms for estimation and parametric analysis of the solution to the kinetic coagulation equation
Sibirskij žurnal vyčislitelʹnoj matematiki, Tome 17 (2014) no. 2, pp. 125-138 
A. V. Burmistrov; M. A. Korotchenko. Weight Monte Carlo algorithms for estimation and parametric analysis of the solution to the kinetic coagulation equation. Sibirskij žurnal vyčislitelʹnoj matematiki, Tome 17 (2014) no. 2, pp. 125-138. http://geodesic.mathdoc.fr/item/SJVM_2014_17_2_a3/
@article{SJVM_2014_17_2_a3,
     author = {A. V. Burmistrov and M. A. Korotchenko},
     title = {Weight {Monte} {Carlo} algorithms for estimation and parametric analysis of the solution to the kinetic coagulation equation},
     journal = {Sibirskij \v{z}urnal vy\v{c}islitelʹnoj matematiki},
     pages = {125--138},
     year = {2014},
     volume = {17},
     number = {2},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/SJVM_2014_17_2_a3/}
}
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Voir la notice de l'article provenant de la source Math-Net.Ru

The Smoluchowski equation with linear coagulation coefficients depending on two parameters is considered. We construct weight algorithms for estimating various linear functionals in an ensemble, which is governed by the equation under study. The algorithms constructed allow us to estimate the functionals for various parameters as well as parametric derivatives using the same set of trajectories. Moreover, we construct the value algorithms and analyze their efficiency for estimating the total monomer concentration as well as the total monomer and dimer concentration in the ensemble. A considerable gain in computational costs is achieved via the approximate value simulation of the time between interactions combined with the value simulation of the interacting pair number.

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