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[1-6]
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[Title],
[Author],
[Editor],
[Year] |
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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:
ADOL-C
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Andreas Griewank, David Juedes, H. Mitev, Jean Utke, Olaf Vogel, Andrea Walther
ADOL-C: A Package for the Automatic Differentiation of Algorithms Written in C/C++
Institute of Scientific Computing, Technical University Dresden, 1999 |
Tools:
ADOL-C
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David W. Juedes, Karthik Balakrishnan
Generalized Neural Networks, Computational Differentiation, and Evolution
Computational Differentiation: Techniques, Applications, and Tools, SIAM,
1996 |
Tools:
ADOL-C
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David Juedes, Andreas Griewank
Implementing Automatic Differentiation Efficiently
Mathematics and Computer Sciences Division, Argonne National Laboratory, 1990 |
not yet classified
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Andreas Griewank, David Juedes, Jean Utke
Algorithm 755: ADOL-C: A Package for the Automatic Differentiation of Algorithms Written in C/ C++
Article in
ACM Transactions on Mathematical Software, 1996 |
Tools:
ADOL-C
Theory & Techniques:
Hessian, Reverse Mode, Taylor Arithmetic, Forward Mode
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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
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[1-6]
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