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H. M. Bücker, A. Rasch, A. Vehreschild
Automatic Generation of Parallel Code for Hessian Computations
Conference proceeding,
OpenMP Shared Memory Parallel Programming, Proceedings of the International Workshops IWOMP 2005 and IWOMP 2006, Eugene, OR, USA, June 1--4, 2005, and Reims, France, June 12--15, 2006, Springer,
2008 |
Tools:
ADIFOR
Theory & Techniques:
Hessian, Parallelism
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Atya Elsheikh, Stephan Noack, Wolfgang Wiechert
Sensitivity analysis of Modelica applications via automatic differentiation
Conference proceeding,
6th International Modelica Conference, 2008 |
Theory & Techniques:
Implementation Strategies
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C. A. Mader, J. R. R. A Martins, J. J Alonso, E. van der Weide
ADjoint: An approach for the rapid development of discrete adjoint solvers
Article in
AIAA Journal, 2008 |
Application Area:
Computational Fluid Dynamics
Tools:
ADIFOR, TAF, TAPENADE
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Jean Utke, Uwe Naumann, Mike Fagan, Nathan Tallent, Michelle Strout, Patrick Heimbach, Chris Hill, Carl Wunsch
OpenAD/F: A Modular, Open-Source Tool for Automatic Differentiation of Fortran Codes
Article in
ACM Transactions on Mathematical Software, 2008 |
Tools:
OpenAD
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M. Lülfesmann
Graphfärbung zur Berechnung benötigter Matrixelemente
Article in
Informatik-Spektrum, 2008 |
Theory & Techniques:
graph coloring, Sparsity
|
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A. Rasch, H. M. Bücker, C. H. Bischof
Automatic Computation of Sensitivities for a Parallel Aerodynamic Simulation
Conference proceeding,
Parallel Computing: Architectures, Algorithms and Applications, IOS Press,
2008 |
Application Area:
Computational Fluid Dynamics
Tools:
ADIFOR
Theory & Techniques:
Parallelism
|
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E. Gross-Hardt, E. Slusanschi, H. M. Bücker, A. Pfennig, C. H. Bischof
Practical Shape Optimization of a Levitation Device for Single Droplets
Article in
Optimization and Engineering, 2008 |
Application Area:
Computational Fluid Dynamics, Optimization
Tools:
ADIFOR
Theory & Techniques:
Black Box
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Laurent Hascoët, Jean Utke, Uwe Naumann
Cheaper adjoints by reversing address computations
Article in
Scientific Programming, IOS Press,
2008 |
Theory & Techniques:
Code Optimization, Data Flow Analysis, Recomputation, Reverse Mode
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E. Slusanschi
Algorithmic differentiation of Java programs
Ph.D. thesis,
Department of Computer Science, RWTH Aachen University, 2008 |
Tools:
ADiJaC
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Christian H. Bischof, H. Martin Bücker, Paul D. Hovland, Uwe Naumann, Jean Utke
Advances in Automatic Differentiation
Springer,
2008 |
Theory & Techniques:
General
|
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Uwe Naumann
Call Tree Reversal is NP-Complete
Advances in Automatic Differentiation, Springer,
2008 |
Theory & Techniques:
Adjoint, Checkpointing
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Emmanuel M. Tadjouddine
On Formal Certification of AD Transformations
Advances in Automatic Differentiation, Springer,
2008 |
Theory & Techniques:
Certification
|
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Adrian Sandu
Reverse Automatic Differentiation of Linear Multistep Methods
Advances in Automatic Differentiation, Springer,
2008 |
Theory & Techniques:
Adjoint
|
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Mike B. Giles
Collected Matrix Derivative Results for Forward and Reverse Mode Algorithmic Differentiation
Advances in Automatic Differentiation, Springer,
2008 |
Theory & Techniques:
Hierarchical Approach
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Salvatore Cuomo, Luisa D'Amore, Mariarosaria Rizzardi, Almerico Murli
A Modification of Weeks' Method for Numerical Inversion of the Laplace Transform in the Real Case Based on Automatic Differentiation
Advances in Automatic Differentiation, Springer,
2008 |
Tools:
FADBAD/TADIFF
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Hany S. Abdel-Khalik, Paul D. Hovland, Andrew Lyons, Tracy E. Stover, Jean Utke
A Low Rank Approach to Automatic Differentiation
Advances in Automatic Differentiation, Springer,
2008 |
Tools:
OpenAD
Theory & Techniques:
Jacobian-vector product
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Bradley M. Bell, James V. Burke
Algorithmic Differentiation of Implicit Functions and Optimal Values
Advances in Automatic Differentiation, Springer,
2008 |
Tools:
ADOL-C, CppAD
Theory & Techniques:
Fixpoint
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Barak A. Pearlmutter, Jeffrey Mark Siskind
Using Programming Language Theory to Make Automatic Differentiation Sound and Efficient
Advances in Automatic Differentiation, Springer,
2008 |
Theory & Techniques:
Functional Programming
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Sanjukta Bhowmick, Paul D. Hovland
A Polynomial-Time Algorithm for Detecting Directed Axial Symmetry in Hessian Computational Graphs
Advances in Automatic Differentiation, Springer,
2008 |
Theory & Techniques:
Computational Graph, Hessian
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Andrew Lyons, Jean Utke
On the Practical Exploitation of Scarsity
Advances in Automatic Differentiation, Springer,
2008 |
Tools:
OpenAD
Theory & Techniques:
Scarsity
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