BibTeX
@INCOLLECTION{
         Phipps2008LST,
       author = "Eric T. Phipps and Roscoe A. Bartlett and David M. Gay and Robert J. Hoekstra",
       title = "Large-Scale Transient Sensitivity Analysis of a Radiation-Damaged Bipolar Junction
         Transistor via Automatic Differentiation",
       doi = "10.1007/978-3-540-68942-3_31",
       pages = "351--362",
       abstract = "Automatic differentiation (AD) is useful in transient sensitivity analysis of a
         computational simulation of a bipolar junction transistor subject to radiation damage. We used
         forward-mode AD, implemented in a new Trilinos package called Sacado, to compute analytic
         derivatives for implicit time integration and forward sensitivity analysis. Sacado addresses
         element-based simulation codes written in C++ and works well with forward sensitivity analysis as
         implemented in the Trilinos time-integration package Rythmos. The forward sensitivity calculation is
         significantly more efficient and robust than finite differencing.",
       crossref = "Bischof2008AiA",
       booktitle = "Advances in Automatic Differentiation",
       publisher = "Springer",
       editor = "Christian H. Bischof and H. Martin B{\"u}cker and Paul D. Hovland and Uwe
         Naumann and J. Utke",
       isbn = "978-3-540-68935-5",
       issn = "1439-7358",
       year = "2008",
       ad_area = "Electrical Engineering",
       ad_tools = "Sacado"
}