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en.wikipedia.org/wiki/Automatic_differentiation
In mathematics and computer algebra, automatic differentiation (AD), also called algorithmic differentiation or computational differentiation, [1] [2] is a set of ...

wiki.mcs.anl.gov/autodiff/index.php/Main_Page
About Automatic Differentiation at Argonne. The Computational Differentiation Group (aka Automatic Differentiation Group) at Argonne develops technologies for ...

en.wikipedia.org/wiki/Hessian_automatic_differentiation
In applied mathematics, Hessian automatic differentiation are techniques based on automatic differentiation (AD) that calculate the second derivative of a ...

hackage.haskell.org/package/ad
ad. A package that provides an intuitive API for Automatic Differentiation (AD) in Haskell. Automatic differentiation provides a means to calculate the derivatives of ...

www.sciencedirect.com/science/article/pii/S0377042700004222
We introduce the basic notions of automatic differentiation, describe some extensions which are of interest in the context of nonlinear optimization and give so

www.autodiff.org
Overview, resources and examples on Automatic Differentiation, as well as and index of conferences and publications.

www.codeproject.com/Articles/15432/FastAutomaticDifferentiationinC
An article on fast automatic differentiation (FAD), another way of computing the derivatives of a function.

alexey.radul.name/ideas/2013/introductiontoautomaticdifferentiation
Automatic differentiation may be one of the best scientific computing techniques youâ€™ve never heard of. If you work with computers and real numbers at the same time ...

wwwsop.inria.fr/tropics/ad/whatisad.html
What is Automatic Differentiation ? Automatic Differentiation (A.D.) is a technique to evaluate the derivatives of a function defined by a computer program.

www.mathworks.com/matlabcentral/newsreader/view_thread/169934
I am trying to solve a system of nonlinear equations, and I am trying to obtain its Jacobian with automatic differentiation tools. I tried Tapenade on my fortran code