AdaAutoDiff Icon



C++ Templates and Ada Package for Automatic Differentiation

Add a Review
1 Download (This Week)
Last Update:
Download cpp_AD_3aug14.tar
Browse All Files



Operators are overloaded so that a normal looking function definition provides access to not only evaluations of itself, but to evaluations of any of its analytic derivatives.

Automatic differentiation means the user does not need to define the analytic expressions for all the various partial derivatives. It also means that those complex expressions are essentially calculated at compile time, and merely evaluated at runtime.

First order derivatives only, forward accumulation.

Choose "files" and either the "initial_submission" directory for the Ada version, or the other directory "cpp_AD" for the C++ version.

AdaAutoDiff Web Site


  • Ada/C++ source code only. See files adaAD_*.tar.gz or cpp_AD_*.tar
  • Examples are included that demonstrate a damped Newton's method for finding roots of systems of nonlinear equations.
  • C++ Source Templates now available too, with equivalent capabilities. See file cpp_AD*.tar


Write a Review

User Reviews

Be the first to post a review of AdaAutoDiff!

Additional Project Details

Intended Audience

Developers, Engineering

Programming Language




Thanks for helping keep SourceForge clean.

Screenshot instructions:
Red Hat Linux   Ubuntu

Click URL instructions:
Right-click on ad, choose "Copy Link", then paste here →
(This may not be possible with some types of ads)

More information about our ad policies

Briefly describe the problem (required):

Upload screenshot of ad (required):
Select a file, or drag & drop file here.

Please provide the ad click URL, if possible:

Get latest updates about Open Source Projects, Conferences and News.

Sign up for the SourceForge newsletter:

No, thanks
Screenshots can attract more users to your project.
Features can attract more users to your project.