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The paper ADIC: An Extensible Automatic Differentiation Tool for ANSI-C describes the system issues that need to be addressed in automatic differentiation, illustrates ADIC's particular approach to AD, provides a short example, and reports on applications of ADIC to a semiconductor device simulator, 3-D CFD grid generator, vehicle simulator, and neural network code.

The application of ADIC to the CSCMDO 3-D volume grid generator is decribed in detail in the paper "Experiences with the Application of the ADIC Automatic Differentiation Tool to the CSCMDO 3-D Volume Grid Generation Code". The application of ADIC to the FCAP circuit simulator from HP Labs is described in the paper "Statistical On-Chip Interconnect Modelling: An Application of Automatic Differentiation".

ADIC currently provides for the generation of both the first and second order derivative code.  Second-order capabilities are in described in "Algorithms and Design for a Second-Order Automatic Differentiaton Module". ADIC also provides some coverage of C++ constructs.

The ADIC project was conceived and initiated by Christian Bischof, principally developed by Lucas Roh, and is currently maintained by Paul Hovland and Boyana Norris.

Questions regarding ADIC should be directed to [email protected].
Questions or problems regarding this web site should be directed to [email protected]
Copyright 2000 University of Chicago, operator of Argonne National Laboratory. All rights reserved.
Last modified: Friday November 14, 2003.