Automatic Differentiation for FORTRAN and C/C++
- By Vivlabs.
- http://www.vivlabs.com

PCOMP -- Modelling language with automatic differentiation
- PCOMP reads symbolically defined nonlinear functions that are composed of standard elementary functions, and precompiles them. Subsequently function and, in particular, derivative values up to order two can be computed directly, i.e. without numerical app
- http://www-fp.mcs.anl.gov/otc/Guide/SoftwareGuide/Blurbs/pcomp.html

A Collection of Automatic Differentiation Tools
- Links to automatic differential tools for Fortran 77, Fortran, C, and C++.
- http://www-unix.mcs.anl.gov/autodiff/AD_Tools/

TAPENADE On-line Automatic Differentiation Engine
- Given a Fortran source program, the name of the top routine to be differentiated, the dependent output variables whose derivatives are required, the independent input variables with respect to which it must differentiate, this tool returns the forward (ta
- http://tapenade.inria.fr:8080/tapenade/index.jsp

Automatic Differentiation of Fortran programs
- Given a function coded in Fortran, GRAD produces Fortran code to compute the derivatives with respect to specified variables (i.e. the GRADient).
- http://archives.math.utk.edu/software/msdos/numerical.analysis/grad/.html

Automatic Differentiation of Fortran Codes (ADIFOR)
- Given code as input, it generates code for derivatives including gradients and hessians.
- http://www-unix.mcs.anl.gov/autodiff/ADIFOR/

AUTO_DERIV: Tool for automatic differentiation of a Fortran code
- Site has abstract, summary and link to full paper describing the program, but not the code itself.
- http://tccc.iesl.forth.gr/~farantos/po_cpc/auto_deriv.html