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Louis B. Rall
Early Automatic Differentiation: The Ch’in-Horner Algorithm
Article in Reliable Computing, 2007
Theory & Techniques:
History
Mu Wang, Alex Pothen, Paul Hovland
Edge Pushing is Equivalent to Vertex Elimination for Computing Hessians
Conference proceeding, 2016 Proceedings of the Seventh SIAM Workshop on Combinatorial Scientific Computing, Albuquerque, New Mexico, USA, October 10--12, SIAM, 2016
Theory & Techniques:
Hessian
A. Rasch, H. M. Bücker
EFCOSS: An Interactive Environment Facilitating Optimal Experimental Design
Article in ACM Transactions on Mathematical Software, 2010
Application Area:
Optimization
Oluwole Oluleke
Effect of Microwave and Conventional Autoclave Post- Curing on the Mechanical and Micro-structural Properties of Particulate Reinforced Polymer Matrix Composites
Article in Advances in Materials, Science PG, 2015
Application Area:
Biology
Tools:
AMC
Theory & Techniques:
Certification
I. Hoteit, A. Köhl
Efficiency Of Reduced-Order, Time-Dependent Adjoint Data Assimilation Approaches
Article in Journal Of Oceanography, 2006
Application Area:
Oceanography
Tools:
TAF
Theory & Techniques:
Adjoint
I. Charpentier, M. Ghemires
Efficient Adjoint Derivatives: Application to the Meteorological Model Meso-NH
Article in Optimization Methods and Software, 2000
Application Area:
Meteorology
Tools:
Odyssee
Theory & Techniques:
Adjoint
C. H. Bischof, H. M. Bücker, B. Lang, A. Rasch, E. Slusanschi
Efficient and accurate derivatives for a software process chain in airfoil shape optimization
Article in Future Generation Computer Systems, 2005
Application Area:
Computational Fluid Dynamics
Tools:
ADIFOR, ADiMat
Mark S. Gockenbach, Daniel R. Reynolds, Peng Shen, William W. Symes
Efficient and automatic implementation of the adjoint state method
Article in ACM Trans. Math. Softw., ACM, 2002
Tools:
TAMC
Theory & Techniques:
Adjoint
Peder A. Olsen, Steven J. Rennie, Vaibhava Goel
Efficient Automatic Differentiation of Matrix Functions
Recent Advances in Algorithmic Differentiation, Springer, 2012
Theory & Techniques:
Hierarchical Approach
Thomas F. Coleman, Fadil Santosa, Arun Verma
Efficient calculation of Jacobian and Adjoint Vector products in Wave propagational inverse problem using Automatic Differentiation
Article in J. Comp. Phys., 2000
Application Area:
Oceanography
Tools:
TAMC
Theory & Techniques:
Adjoint
Uwe Naumann
Efficient Calculation of Jacobian Matrices by Optimized Application of the Chain Rule to Computational Graphs
Ph.D. thesis, Technical University of Dresden, 1999
Theory & Techniques:
Static Analysis, X-Country
Andreas Kowarz, Andrea Walther
Efficient calculation of sensitivities for optimization problems
Article in Discussiones Mathematicae, Differential Inclusions, Control and Optimization, 2007
Application Area:
Optimization
Tools:
ADOL-C
Theory & Techniques:
Forward Mode, Implementation Strategies
John E. Tolsma, Paul I. Barton
Efficient Calculation of Sparse Jacobians
Article in SIAM Journal on Scientific Computing, SIAM, 1999
Theory & Techniques:
Sparsity
A. Rasch
Efficient Computation of Derivatives for Optimal Experimental Design
Ph.D. thesis, Department of Computer Science, RWTH Aachen University, 2007
Application Area:
Optimization
Theory & Techniques:
Hessian, Parallelism, Sparsity
Kshitij Kulshreshtha, Sri Hari Krishna Narayanan, Julie Bessac, Kaitlyn MacIntyre
Efficient computation of derivatives for solving optimization problems in R and Python using SWIG-generated interfaces to ADOL-C
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified
Christian H. Bischof, Peyvand M. Khademi, A. Bouaricha, Alan Carle
Efficient Computation of Gradients and Jacobians by Dynamic Exploitation of Sparsity in Automatic Differentiation
Article in Optimization Methods and Software, 1997
not yet classified
A. H. Gebremedhin, A. Pothen, A. Tarafdar, A. Walther
Efficient Computation of Sparse Hessians Using Coloring and Automatic Differentiation
Article in INFORMS Journal on Computing, 2009
Tools:
ADOL-C, ColPack
Theory & Techniques:
graph coloring, Sparsity
S. Hossain, T. Steihaug
Efficient Computation of Sparse Jacobian Matrices Using Patterns
Automatic Differentiation: Applications, Theory, and Implementations, Springer, 2005
Theory & Techniques:
graph coloring, Jacobian-vector product, Sparsity
Paul D. Hovland, Christian H. Bischof, Donna Spiegelman, Mario Casella
Efficient Derivative Codes through Automatic Differentiation and Interface Contraction: An Application in Biostatistics
Article in SIAM Journal on Scientific Computing, 1997
Tools:
ADIFOR
Theory & Techniques:
Interface Contraction
H. Martin Bücker, A. Rasch
Efficient Derivative Computations in Neutron Scattering via Interface Contraction
Conference proceeding, Proceedings of the 17th ACM Symposium on Applied Computing, Madrid, Spain, March 10--14, 2002, ACM Press, 2002
Application Area:
Chemistry
Theory & Techniques:
Interface Contraction

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