A multilevel Monte Carlo finite element method for the stochastic Cahn–Hilliard–Cook equation

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Khodadadian, A.; Parvizi, M.; Abbaszadeh, M.; Dehghan, M.; Heitzinger, C.: A multilevel Monte Carlo finite element method for the stochastic Cahn–Hilliard–Cook equation. In: Computational Mechanics 64 (2019), Nr. 4, S. 937-949. DOI: https://doi.org/10.1007/s00466-019-01688-1

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Abstract: 
In this paper, we employ the multilevel Monte Carlo finite element method to solve the stochastic Cahn–Hilliard–Cook equation. The Ciarlet–Raviart mixed finite element method is applied to solve the fourth-order equation. In order to estimate the mild solution, we use finite elements for space discretization and the semi-implicit Euler–Maruyama method in time. For the stochastic scheme, we use the multilevel method to decrease the computational cost (compared to the Monte Carlo method). We implement the method to solve three specific numerical examples (both two- and three dimensional) and study the effect of different noise measures. © 2019, The Author(s).
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2019
Appears in Collections:Fakultät für Mathematik und Physik

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pos. country downloads
total perc.
1 image of flag of Germany Germany 103 56.59%
2 image of flag of United States United States 25 13.74%
3 image of flag of China China 14 7.69%
4 image of flag of Ireland Ireland 5 2.75%
5 image of flag of Austria Austria 4 2.20%
6 image of flag of France France 2 1.10%
7 image of flag of Spain Spain 2 1.10%
8 image of flag of Czech Republic Czech Republic 2 1.10%
9 image of flag of Belgium Belgium 2 1.10%
10 image of flag of Bosnia and Herzegovina Bosnia and Herzegovina 2 1.10%
    other countries 21 11.54%

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