Solving the stochastic Burgers equation with a sensitivity derivative-driven Monte Carlo method

Reference : Solving the stochastic Burgers equation with a sensitivity derivative-driven Monte Ca...


	Document type :	Computer developments : Software
	Discipline(s) :	Physical, chemical, mathematical & earth Sciences : Mathematics
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/28433

Title :	Solving the stochastic Burgers equation with a sensitivity derivative-driven Monte Carlo method
Language :	English
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 >]
Publication date :	Undated
Creation date :	2016-09
Abstract :	[en] Please see the links below for complete information.
Target :	Researchers ; Professionals
Permalink :	http://hdl.handle.net/10993/28433
DOI :	10.6084/m9.figshare.3561306
Other URL :	http://figshare.com/articles/Solving_the_stochastic_Burgers_equation_with_a_sensitivity_derivative-driven_Monte-Carlo_method/3561306
Technical description :	Code to solve a 1D stochastic viscous Burgers equation using a sensitivity derivative-driven Monte Carlo method.
Framework Programme / European Project :	FP7 ; 279578 - REALTCUT - Towards real time multiscale simulation of cutting in non-linear materials with applications to surgical simulation and computer guided surgery

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