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Titlebook: Advances in Automatic Differentiation; Christian H. Bischof,H. Martin Bücker,Jean Utke Conference proceedings 2008 Springer-Verlag Berlin

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https://doi.org/10.1007/978-1-349-18254-1de range of problems remain to be solved. Activity analysis allows AD tools to generate derivative code for fewer variables, leading to a faster run time of the output code. This paper describes a new contextsensitive, flow-sensitive (CSFS) activity analysis, which is developed by extending an exist
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Further Implications and Conclusionsn the common programming languages, automatic differentiation tools will either differentiate through the code that computes ... if that code is available or require the user to provide a hand-written derivative code. We present options for the derivative computation in the context of an ionization
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https://doi.org/10.1007/978-1-349-18254-1E) problems arising, for instance, in mechanics. Up to now, series were mainly handwritten and hand-coded. The note discusses the automation of the specific derivative computations involved in the ANM and presents the automatic differentiation (AD) approach Diamant. As any AD tool, Diamant is generi
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Politics, Propaganda and Numbersomatic differentiation. In the specific case of a constrained functional, we find that Tangent-on-Reverse outperforms Tangent-on-Tangent only above a relatively high number of input parameters. We describe the algorithms to help the end-user apply the two strategies to a given application source. We
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https://doi.org/10.1057/9781137512536t method are computed by code that is generated automatically by the differentiation-enabled NAGWare Fortran compiler. Single time steps are taped using an overloading approach. The entire evolution is reversed based on an efficient checkpointing schedule that is computed by revolve. The feasibility
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https://doi.org/10.1007/978-1-349-18957-1dent. We describe how this choice made adaption to C easier. In principle, it needed only a new front-end and back-end for C. However we encountered several problems, in particular related to declarations style, include files, parameter-passing mechanism, and extensive use of pointers. We describe h
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Britain’s Liberal Empire 1897–1921these two language concepts on the design of source transformation tools for automatic differentiation. The term automatic differentiation refers to a collection of techniques to augment a given computer code with statements for the computation of user-specified derivatives. The focus here is on the
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