
[18]
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[Title],
[Author],
[Editor],
[Year] 

Andreas Griewank, David Juedes, Jean Utke
A Package for the Automatic Differentiation of Algorithms Written in C/C++. User Manual
Institute of Scientific Computing, Technical University of Dresden, 1996 
Tools: ADOLC


David W. Juedes
A Taxonomy of Automatic Differentiation Tools
Automatic Differentiation of Algorithms: Theory, Implementation, and Application, SIAM,
1991 
Tools: ADIC


Andreas Griewank, David Juedes, H. Mitev, Jean Utke, Olaf Vogel, Andrea Walther
ADOLC: A Package for the Automatic Differentiation of Algorithms Written in C/C++
Institute of Scientific Computing, Technical University Dresden, 1999 
Tools: ADOLC


Andreas Griewank, David Juedes, Jean Utke
Algorithm 755: ADOLC: A Package for the Automatic Differentiation of Algorithms Written in C/ C++
Article in
ACM Transactions on Mathematical Software, 1996 
Tools: ADOLC Theory & Techniques: Hessian, Reverse Mode, Taylor Arithmetic, Forward Mode


David Juedes, Jeffrey Jones
Coloring Jacobians revisited: a new algorithm for star and acyclic bicoloring
Article in
Optimization Methods and Software, 2012 
Theory & Techniques: Combinatorics, Sparsity


Christian Bischof, Andreas Griewank, David Juedes
Exploiting parallelism in automatic differentiation
Proceedings of the 1991 International Conference on Supercomputing, ACM Press,
1991 
Theory & Techniques: Parallelism


David W. Juedes, Karthik Balakrishnan
Generalized Neural Networks, Computational Differentiation, and Evolution
Computational Differentiation: Techniques, Applications, and Tools, SIAM,
1996 
Tools: ADOLC


David Juedes, Andreas Griewank
Implementing Automatic Differentiation Efficiently
Mathematics and Computer Sciences Division, Argonne National Laboratory, 1990 
not yet classified

[18]
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