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RWTH Publication No: 811902 2020 
TITLE 
Algorithmic differentiation of hyperbolic flow problems 
AUTHORS 
Michael Herty, Jonathan Hüser, Uwe Naumann, Thomas Schilden, Wolfgang Schröder 
ABSTRACT 
We are interested in the development of an algorithmic differentiation framework for computing approximations to tangent vectors to scalar and systems of hyperbolic partial differential equations. The main difficulty of such a numerical method is the presence of shock waves that are resolved by proposing a numerical discretization of the calculus introduced in Bressan and Marson [Rend. Sem. Mat. Univ. Padova, 94:7994, 1995]. Numerical results are presented for the onedimensional Burgers equation and the Euler equations. Using the essential routines of a stateoftheart code for computational fluid dynamics (CFD) as a starting point, three modifications are required to apply the introduced calculus. First, the CFD code is modified to solve an additional equation for the shock location. Second, we customize the computation of the corresponding tangent to the shock location. Finally, the modified method is enhanced by algorithmic differentiation. Applying the introduced calculus to problems of the Burgers equation and the Euler equations, it is found that correct sensitivities can be computed, whereas the application of blackbox algorithmic differentiation fails. 
KEYWORDS 
Conservation laws, algorithmic differentiation, tangent vectors, numerical computation 
DOI 
10.1016/j.jcp.2021.110110 
PUBLICATION 
Journal of Computational Physics, Volume 430, 1 April 2021, 110110 