1 Automatic differentiation - Wikipedia, the free encyclopedia
In mathematics and computer algebra, automatic differentiation (AD), sometimes alternatively called algorithmic differentiation, is a method to numerically evaluate the derivative ...
http://en.wikipedia.org/wiki/Automatic_differentiation
2 Automatic Differentiation - Wolfram Demonstrations Project
Differentiation rules can be applied to differentiate any function expressed in terms of composition and arithmetic operations of functions with known derivatives.
http://demonstrations.wolfram.com/AutomaticDifferentiation/
3 Automatic Differentiation Solutions
About AD from vivlabs automatic differentiation software for research and development, including ADF, ADC and AD support services.
http://www.vivlabs.com/subpage_ad.php
4 Home - MAD - Matlab Automatic Differentiation
Overview of Automatic Differentiation for Matlab. MAD is a tools jointly developed and maintained by Cranfield University and Tomlab Optimization.
http://matlabad.com/
5 FADBAD++ 2.0 Automatic Differentiation Made Easy
The importance of differentiation as a mathematical tool is obvious. One of the first things we learn in elementary school is how to manually differentiate expressions using a few ...
http://www.fadbad.com/fadbad.html
6 Automatic Differentiation (AD) Solutions
vivlabs automatic differentiation software for research and development, including ADF Version 4.0, ADF03, ADC03 and Support Services.
http://www.vivlabs.com/
7 A Neighborhood of Infinity: Automatic Differentiation
The most important equation in mathematics is x 2 =0 Sir Michael Atiyah Automatic Differentiation (also known as AD) is a great way to numerically compute derivatives of functions ...
http://blog.sigfpe.com/2005/07/automatic-differentiation.html
8 Amazon.com: "automatic differentiation": Key Phrase page
Key Phrase page for automatic differentiation: Books containing the phrase automatic differentiation
http://www.amazon.com/phrase/automatic-differentiation
9 Automatic Differentiation
Automatic differentiation. 30 May, 2005. The general approach; The classes and functions; ParameterSet; VWD; VWD2; TAPE; RVWD; Numerical Integration; Compiling; Testing
http://www.robertnz.net/autodiff.htm
10 Conal Elliott ยป Beautiful differentiation
Automatic differentiation. The idea of AD is to simultaneously manipulate values and derivatives. Overloading of the standard numerical operations (and literals) makes this combined ...
http://conal.net/blog/posts/beautiful-differentiation/
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