Overview , resources and examples on Automatic Differentiation , as well as and index of conferences and publications.
A system for the use of automatic differentiation and Taylor Models in Fortran and C++ , developed by the Michigan State University , USA. While site contains links to manual and description , the tool is only available through registration.
A Package for Differentiation of C++ Algorithms developed by the COmputational INfrastructure for Operations Research (COIN-OR) project. Windows and Linux Binaries are available for download as well as documentation and source code.
Company provides tools for Automatic Differentiation and their application in Geoscience , Economics , Engineering and Mathematics. Home of the commercial tools TAF (Fortran) and TAC++ (C++).
INTerval LABoratory is the Matlab toolbox for self-validating algorithms , developed by the Hamburg University of Technology , Germany. Along with examples and related publications , the source code can be downloaded freely for private and academic use. Co
A flexible , modular , open source tool that can generate adjoint codes of numerical simulation programs written in C and Fortan. Along with examples , case studies , documentation and related publications , Test Binaries can be downloaded from freely from C
|The Tangent linear and Adjoint Model Compiler (TAMC)|
A source-to-source translator that generates Fortran routines for computation of the first-order derivatives out of Fortran routines. Site contains documentation and references to publications. Usage is restricted to non-commercial and educational appli
|Wikipedia: Automatic Differentiation|
In mathematics and computer algebra , automatic differentiation is a method to numerically evaluate the derivative of a function specified by a computer program.