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The Computational Differentiation Group (aka Automatic Differentiation Group) at Argonne develops technologies for generating, with minimal human effort, efficient derivative code for models implemented as computer programs. These technologies include compiler-based automatic differentiation tools, new differentiation strategies, and web-based differentiation services. Our research is guided by our collaborations with scientists from a variety of application domains.
 
The Computational Differentiation Group (aka Automatic Differentiation Group) at Argonne develops technologies for generating, with minimal human effort, efficient derivative code for models implemented as computer programs. These technologies include compiler-based automatic differentiation tools, new differentiation strategies, and web-based differentiation services. Our research is guided by our collaborations with scientists from a variety of application domains.
  
== The next AD conference ==
+
==Software==
 +
 
 +
ADIC for C/C++
 +
 
 +
ADIFOR for Fortran 77
 +
 
 +
OpenAD/F for Fortran 90
 +
 
 +
==People==
 +
 
 +
Paul Hovland
 +
 
 +
Andrew Lyons
 +
 
 +
Boyana Norris
 +
 
 +
Ilya Safro
 +
 
 +
Jaewook Shin
 +
 
 +
Jean Utke
 +
 
 +
==Working Notes==
 +
 
 +
=== The next AD conference===
 
[[AD 201X]]
 
[[AD 201X]]
  
 
[[AD 201X Internal]]
 
[[AD 201X Internal]]
  
== Tools related pages ==
+
===Tools related pages===
  
 
[[AD tools integration with NEOS]]
 
[[AD tools integration with NEOS]]
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[[ROSE]]
 
[[ROSE]]
  
== Other Software ==  
+
===Other Software===  
  
 
[[Mercurial]]
 
[[Mercurial]]

Revision as of 17:09, 1 December 2008

Contents

About Automatic Differentiation at Argonne

The Computational Differentiation Group (aka Automatic Differentiation Group) at Argonne develops technologies for generating, with minimal human effort, efficient derivative code for models implemented as computer programs. These technologies include compiler-based automatic differentiation tools, new differentiation strategies, and web-based differentiation services. Our research is guided by our collaborations with scientists from a variety of application domains.

Software

ADIC for C/C++

ADIFOR for Fortran 77

OpenAD/F for Fortran 90

People

Paul Hovland

Andrew Lyons

Boyana Norris

Ilya Safro

Jaewook Shin

Jean Utke

Working Notes

The next AD conference

AD 201X

AD 201X Internal

Tools related pages

AD tools integration with NEOS

ROSE

Other Software

Mercurial

Personal tools