AD Tools and Prospects for Optimal AD in CFD Flux Jacobian Calculations.

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dc.contributor.author Tadjouddine, Mohamed -
dc.contributor.author Forth, Shaun A. -
dc.contributor.author Pryce, John D. -
dc.date.accessioned 2011-11-21T23:01:37Z
dc.date.available 2011-11-21T23:01:37Z
dc.date.issued 2002-01-01T00:00:00Z -
dc.identifier.citation Mohamed Tadjouddine, Shaun A Forth & John D Pryce; AD Tools and Prospects for Optimal AD in CFD Flux Jacobian Calculations. Automatic Differentiation of Algorithms: From Simulation to Optimization, George Corliss, Christele Faure, Andreas Griewank, Laurent Hascoet, and Uwe Naumann (eds.) Springer-Verlag, New York, 2002, pp255-261 -
dc.identifier.isbn 387953051 -
dc.identifier.uri http://dspace.lib.cranfield.ac.uk/handle/1826/3147
dc.description.abstract We consider the problem of linearising the short (approximately 100 lines of) code that defines the numerical fluxes of mass, energy and momentum across a cell face in a finite volume compressible flow calculation. Typical of such formulations is the numerical flux due to Roe, widely used in the numerical approximation of flow fields containing moderate to strong shocks. Roe's flux takes as input 10 variables describing the flow either side of a cell face and returns as output the 5 variables for the numerical flux. We present results concerning the efficiency of derivative calculations for Roe's flux using several currently available AD tools. We also present preliminary work on deriving near optimal differentiated code using the node elimination approach. We show that such techniques, within a source transformation approach, will yield substantial gains for application code such as the Roe flux. en_UK
dc.title AD Tools and Prospects for Optimal AD in CFD Flux Jacobian Calculations. en_UK
dc.type Article -


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