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- W2040854411 abstract "The progress of automatic differentiation (AD) and its impact on perturbation methods is the object of this paper. AD studies show an important activity for developing methods addressing the management of modern CFD kernels, taking into account the language evolution and intensive parallel computing. The evaluation of a posteriori error analysis and of resulting correctors will be addressed. Recent works in the AD-based construction of second-derivatives for building reduced-order models based on a Taylor formula will be presented on the test case of a steady compressible flow around an aircraft." @default.
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- W2040854411 date "2010-01-01" @default.
- W2040854411 modified "2023-09-27" @default.
- W2040854411 title "AD-based perturbation methods for uncertainties and errors" @default.
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- W2040854411 doi "https://doi.org/10.1504/ijesms.2010.031872" @default.
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