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Solving the stochastic Burgers equation with a sensitivity derivative-driven Monte Carlo method
HAUSEUX, Paul; HALE, Jack; BORDAS, Stéphane
n.d.
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https://hdl.handle.net/10993/28433
DOI
10.6084/m9.figshare.3561306
 

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Abstract :
[en] Please see the links below for complete information.
Disciplines :
Mathematics
Author, co-author :
HAUSEUX, Paul ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
HALE, Jack  ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
BORDAS, Stéphane ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Language :
English
Title :
Solving the stochastic Burgers equation with a sensitivity derivative-driven Monte Carlo method
Publication date :
n.d.
Creation date :
2016-09
Technical description :
Code to solve a 1D stochastic viscous Burgers equation using a sensitivity derivative-driven Monte Carlo method.
Focus Area :
Computational Sciences
Additional URL :
http://figshare.com/articles/Solving_the_stochastic_Burgers_equation_with_a_sensitivity_derivative-driven_Monte-Carlo_method/3561306
European Projects :
FP7 - 279578 - REALTCUT - Towards real time multiscale simulation of cutting in non-linear materials with applications to surgical simulation and computer guided surgery
Funders :
CE - Commission Européenne
European Union
Available on ORBilu :
since 20 September 2016

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