BibTeX
@ARTICLE{
Fang2011Tis,
author = "Fang, F. and Pain, C. C. and Navon, I. M. and Gorman, G. J. and Piggott, M. D. and
Allison, P. A.",
title = "The independent set perturbation adjoint method: A new method of differentiating
mesh-based fluids models",
journal = "International Journal for Numerical Methods in Fluids",
volume = "66",
number = "8",
publisher = "John Wiley \& Sons, Ltd.",
issn = "1097-0363",
url = "http://dx.doi.org/10.1002/fld.2297",
doi = "10.1002/fld.2297",
pages = "976--999",
keywords = "automatic differentiation, optimization, adjoint, finite element, reduced-order
models",
year = "2011",
ad_theotech = "Adjoint",
abstract = "A new scheme for differentiating complex mesh-based numerical models (e.g. finite
element models), the Independent Set Perturbation Adjoint method (ISP-Adjoint), is presented.
Differentiation of the matrices and source terms making up the discrete forward model is realized by
a graph coloring approach (forming independent sets of variables) combined with a perturbation
method to obtain gradients in numerical discretizations. This information is then convolved with the
‘mathematical adjoint’, which uses the transpose matrix of the discrete forward
model. The adjoint code is simple to implement even with complex governing equations, discretization
methods and non-linear parameterizations. Importantly, the adjoint code is independent of the
implementation of the forward code. This greatly reduces the effort required to implement the
adjoint model and maintain it as the forward model continues to be developed; as compared with more
traditional approaches such as applying automatic differentiation tools. The approach can be readily
extended to reduced-order models. The method is applied to a one-dimensional Burgers' equation
problem, with a highly non-linear high-resolution discretization method, and to a two-dimensional,
non-linear, reduced-order model of an idealized ocean gyre."
}
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