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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