BibTeX
@INPROCEEDINGS{
Barhen2003UAB,
author = "Jacob Barhen and David B. Reister",
title = "Uncertainty Analysis Based on Sensitivities Generated Using Automatic
Differentiation",
booktitle = "Computational Science and Its Applications  ICCSA~2003, Proceedings of the
International Conference on Computational Science and its Applications, Montreal, Canada,
May~1821, 2003. Part~II",
editor = "V. Kumar and M. L. Gavrilova and C. J. K. Tan and P. {L'Ecuyer}",
abstract = "The objective is to determine confidence limits for the outputs of a mathematical
model of a physical system that consists of many interacting computer codes. Each code has many
modules that receive inputs, write outputs, and depend on parameters. Several of the outputs of the
system of codes can be compared to sensor measurements. The outputs of the system are uncertain
because the inputs and parameters of the system are uncertain. The method uses sensitivities to
propagate uncertainties from inputs to outputs through the complex chain of modules. Furthermore,
the method consistently combines sensor measurements with model outputs to simultaneously obtain
best estimates for model parameters and reduce uncertainties in model outputs. The method was
applied to a test case where ADIFOR2 was used to calculate sensitivities for the radiation transport
code MODTRAN.",
volume = "2668",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "7077",
address = "Berlin",
reference = "http://www.autodiff.org/?module=Workshops&submenu=iccsa03",
ad_area = "Beam Physics",
ad_tools = "ADIFOR",
year = "2003",
crossref = "Kumar2003CSa"
}
