AD-based perturbation methods for uncertainties and errors
Massimiliano Martinelli
Alain Dervieux
Laurent Hascoët
Valérie Pascual
Anca Belme
(INRIA Sophia-Antipolis, BP93, 06902 Sophia-Antipolis, France)
International Journal Engineering Systems Modelling and Simulation, 2010 (10 pages)
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.
Keywords:
Automatic Differentiation, AD, second-order derivatives, uncertainty, error correction, design, CFD
Full text (pdf)
Presentation slides at the 44th AAAF, Nantes, France, 2009 (pdf)
@article{BMHPD09,
author = {Martinelli, M. and Dervieux, A. and Hasco\"et, L. and Pascual, V. and Belme, A.},
title = {{AD}-based perturbation methods for uncertainties and errors},
journal = {Int. J. Engineering Systems Modelling and Simulation},
volume = 2,
number = "1/2",
pages = "65-74",
year = 2010
}