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In mathematics and computer algebra, automatic differentiation (AD), sometimes alternatively called algorithmic differentiation, is a method to numerically ...
en.wikipedia.org/wiki/Automatic_differentiation - Similar
Overview, resources and examples on Automatic Differentiation, as well as and index of conferences and publications.
www.autodiff.org/ - Similar
Given code as input, it generates code for derivatives including gradients and hessians.
www.mcs.anl.gov/autodiff/ - Similar
ADIFOR is a tool for the automatic differentiation of Fortran 77 programs. Given a Fortran 77 source code and a user's specification of dependent and ...
www.mcs.anl.gov/adifor/ - Similar
17 Feb 2009 ... I recently got back reviews of a paper in which I used automatic differentiation . Therein, a reviewer clearly thought I was using finite ...
justindomke.wordpress.com/2009/02/17/automatic-differ... - Similar
The aim of the automatic differentiation package is to allow us to calculate the derivates using a program that is just a minor modification of the program ...
www.robertnz.net/autodiff.htm - Similar
14 Jun 2006 ... Automatic Differentiation (A.D.) is a technique to evaluate the derivatives of a function defined by a computer program. ...
www-sop.inria.fr/tropics/ad/whatisad.html - Similar
Overview of Automatic Differentiation for Matlab. MAD is a tools jointly developed and maintained by Cranfield University and Tomlab Optimization.
matlabad.com/ - Similar
Automatic differentiation (AD), also referred to as algorithmic (or, more loosely, computational) differentiation, involves automatically deriving code to ...
mitgcm.org/cmi_redir.php/automatic_differentiation - Similar
8 Feb 2004 ... Automatic Differentiation (AD) is a set of techniques based on the mechanical application of the chain rule to obtain derivatives of a ...
www.sc.rwth-aachen.de/Research/AD/ - Similar
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