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| Order by:
[Title],
[Author],
[Editor],
[Year] |
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Brett M. Averick, Jorge J. Moré, Christian H. Bischof, Alan Carle, Andreas Griewank
Computing Large Sparse Jacobian Matrices Using Automatic Differentiation
Article in
SIAM J. Sci. Comput., 1994 |
Tools:
ADIFOR
Theory & Techniques:
Sparsity
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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
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Christian H. Bischof, Alan Carle, George F. Corliss, Andreas Griewank, Paul D. Hovland
ADIFOR: Generating Derivative Codes from Fortran Programs
Article in
Scientific Programming, 1992 |
Tools:
ADIFOR
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Christian H. Bischof, George F. Corliss, Andreas Griewank
Structured Second- and Higher-Order Derivatives Through Univariate Taylor Series
Article in
Optimization Methods and Software, 1993 |
not yet classified
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Christian H. Bischof, Andreas Griewank
Computational Differentiation and Multidisciplinary Design
Inverse Problems and Optimal Design in Industry, Teubner Verlag,
1994 |
not yet classified
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Uwe Geitner, Jean Utke, Andreas Griewank
Automatic Computation of Sparse Jacobians by Applying the Method of Newsam and Ramsdell
Computational Differentiation: Techniques, Applications, and Tools, SIAM,
1996 |
Theory & Techniques:
Sparsity
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Andreas Griewank, Philippe L. Toint
On the Unconstrained Optimization of Partially Separable Functions
Nonlinear Optimization 1981, Academic Press,
1982 |
not yet classified
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Andreas Griewank
On Automatic Differentiation
Mathematical Programming, Kluwer Academic Publishers,
1989 |
not yet classified
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Andreas Griewank
The Chain Rule Revisited in Scientific Computing
Article in
SIAM News, 1991 |
not yet classified
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Andreas Griewank, Shawn Reese
On the Calculation of Jacobian Matrices by the Markowitz Rule
Automatic Differentiation of Algorithms: Theory, Implementation, and Application, SIAM,
1991 |
Theory & Techniques:
X-Country
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Andreas Griewank
Automatic Evaluation of First- and Higher-Derivative Vectors
Proceedings of the Conference at Würzburg, Aug. 1990, Bifurcation and Chaos: Analysis, Algorithms, Applications, Birkhäuser Verlag,
1991 |
not yet classified
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Andreas Griewank
Sequential Evaluations of Adjoints and Higher Derivative Vectors by Overloading and Reverse Accumulation
Konrad-Zuse-Zentrum für Informationstechnik Berlin, 1991 |
not yet classified
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Andreas Griewank
Achieving Logarithmic Growth of Temporal and Spatial Complexity in Reverse Automatic Differentiation
Article in
Optimization Methods and Software, 1992 |
Theory & Techniques:
Adjoint, Checkpointing, Data Flow Analysis, General, Introduction, Reverse Mode
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Andreas Griewank
Some Bounds on the Complexity of Gradients, Jacobians, and Hessians
Complexity in Nonlinear Optimization, World Scientific Publishers,
1993 |
not yet classified
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Andreas Griewank
Automatic Directional Differentiation of Nonsmooth Composite Functions
Conference proceeding,
Recent Developments in Optimization, French-German Conference on Optimization, 1994 |
not yet classified
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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, George F. Corliss, Petra Henneberger, Gabriella Kirlinger, Florian A. Potra, Hans J. Stetter
High-Order Stiff ODE Solvers via Automatic Differentiation and Rational Prediction
Numerical Analysis and Its Applications, Springer,
1997 |
not yet classified
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Andreas Griewank, Manfried Fruth
One-sided Taylor Expansions and Generalized Gradients of Nonsmooth Functions by Automatic Differentiation
1996 |
not yet classified
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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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Andreas Griewank, Andrea Walther
Algorithm 799: Revolve: An Implementation of Checkpointing for the Reverse or Adjoint Mode of Computational Differentiation
Article in
ACM Transactions on Mathematical Software, 2000 |
Tools:
Treeverse / Revolve
Theory & Techniques:
Checkpointing
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