Version 12 (modified by awalther, 10 years ago) (diff)


Matthias Wagner, Bernd-Jochen Schaefer, Andrea Walther:
On the efficient computation of high-order derivatives for implicitly defined functions
Computer Physics Communications, 181:756-764 (2010).

Assefaw Gebremedhin, Alex Pothen, Arijit Tarafdar, Andrea Walther:
Efficient Computation of Sparse Hessians Using Coloring and Automatic Differentiation
INFORMS Journal on Computing, 21(2):209-223 (2009).

Petre Enciu, Laurent Gerbaud, Frédéric Wurtz:
Automatic Differentiation Applied for Optimization of Dynamical Systems
COMPUMAG 09, 17th Conference on the Computation of Electromagnetic Fields (2009).

Eli Kahn, Lawrence Staib:
"Image Registration with Automatic Computation of Gradients"
The Insight Journal (2008).

Dagmar Monett, René Lamour, Andreas Griewank:
"Index Determination in DAEs Using the Library indexdet and the ADOL-C Package for Algorithmic Differentiation"
Advances in Automatic Differentiation, Springer (2008).

Christian Bischof, Niels Guertler, Andreas Kowarz, Andrea Walther
Parallel Reverse Mode Automatic Differentiation for OpenMP Programs with ADOL-C
Advances in Automatic Differentiation, Springer (2008).

Fabrice Zaoui
Large Electrical Power Systems Optimization Using Automatic Differentiation
Advances in Automatic Differentiation, Springer (2008)

Andrea Walther
Computing Sparse Hessians with Automatic Differentiation
ACM Transaction on Mathematical Software 34(1), Article 3 (15 pages) (2008)

Nicolas Gauger, Andrea Walther, Christian Moldenhauer, Markus Widhalm:
Automatic differentiation of an entire design chain with applications
New Results in Numerical and Experimental Fluid Mechanics VI, Springer, (2007)