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• W2076554018 abstract "Derivatives are a crucial ingredient to a broad variety of computational techniques in science and engineering. While numerical approaches for evaluating derivatives suffer from truncation error, automatic differentiation is accurate up to machine precision. The term automatic differentiation comprises a set of techniques for mechanically transforming a given computer program to another one capable of evaluating derivatives. A common misconception about automatic differentiation is that this technique only works on local pieces of fairly simple code. Here, it is shown that automatic differentiation is not only applicable to small academic codes, but scales to advanced industrial software packages. In particular, the general-purpose computational fluid dynamics software package FLUENT is transformed by automatic differentiation." @default.
• W2076554018 created "2016-06-24" @default.
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• W2076554018 date "2006-10-12" @default.
• W2076554018 modified "2023-10-18" @default.
• W2076554018 title "Automatic Differentiation of the General-Purpose Computational Fluid Dynamics Package FLUENT" @default.
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• W2076554018 doi "https://doi.org/10.1115/1.2720475" @default.
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