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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
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
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
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
M. Lülfesmann
Graphfärbung zur Berechnung benötigter Matrixelemente
Article in Informatik-Spektrum, 2008
Theory & Techniques:
graph coloring, Sparsity
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
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
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
E. Slusanschi
Algorithmic differentiation of Java programs
Ph.D. thesis, Department of Computer Science, RWTH Aachen University, 2008
Tools:
ADiJaC
Christian H. Bischof, H. Martin Bücker, Paul D. Hovland, Uwe Naumann, Jean Utke
Advances in Automatic Differentiation
Springer, 2008
Theory & Techniques:
General
Uwe Naumann
Call Tree Reversal is NP-Complete
Advances in Automatic Differentiation, Springer, 2008
Theory & Techniques:
Adjoint, Checkpointing
Emmanuel M. Tadjouddine
On Formal Certification of AD Transformations
Advances in Automatic Differentiation, Springer, 2008
Theory & Techniques:
Certification
Adrian Sandu
Reverse Automatic Differentiation of Linear Multistep Methods
Advances in Automatic Differentiation, Springer, 2008
Theory & Techniques:
Adjoint
Mike B. Giles
Collected Matrix Derivative Results for Forward and Reverse Mode Algorithmic Differentiation
Advances in Automatic Differentiation, Springer, 2008
Theory & Techniques:
Hierarchical Approach
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
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
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
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
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
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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