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Order by: [Title], [Author], [Editor], [Year]
Filip Srajer, Zuzana Kukelova, Andrew Fitzgibbon
A benchmark of selected algorithmic differentiation tools on some problems in computer vision and machine learning
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified
William F. Feehery, Paul I. Barton
A Differentiation-Based Approach to Dynamic Simulation and Optimization with High-Index Differential-Algebraic Equations
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
not yet classified
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
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
Ulf Hutschenreiter
A New Method for Bevel Gear Tooth Flank Computation
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
not yet classified
Lisa Kusch, Tim Albring, Andrea Walther, Nicolas R. Gauger
A one-shot optimization framework with additional equality constraints applied to multi-objective aerodynamic shape optimization
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified
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
Guy Chavent, Jérôme Jaffré, Sophie Jégou, Jun Liu
A Symbolic Code Generator for Parameter Estimation
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
not yet classified
Alexander Hück, Christian Bischof, Max Sagebaum, Nicolas R. Gauger, Benjamin Jurgelucks, Eric Larour, Gilberto Perez
A usability case study of algorithmic differentiation tools on the ISSM ice sheet model
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified
Anne K. Griffith, Nancy K. Nichols
Accounting for Model Error in Data Assimilation Using Adjoint Models
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
not yet classified
Peter Eberhard
Adjoint Variable Method for the Sensitivity Analysis of Multibody Systems Interpreted as Continuous, Hybrid Form of Automatic Differentiation
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
not yet classified
Jan Riehme, Andrea Walther, Jörg Stiller, Uwe Naumann
Adjoints for Time-Dependent Optimal Control
Advances in Automatic Differentiation, Springer, 2008
Application Area:
Optimal Control
Tools:
NAGWare Fortran 95
Dmitri Shiriaev
ADOL--F Automatic Differentiation of Fortran Codes
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
not yet classified
Christian H. Bischof, H. Martin Bücker, Paul D. Hovland, Uwe Naumann, Jean Utke
Advances in Automatic Differentiation
Springer, 2008
Theory & Techniques:
General
Sabrina Fiege, Andrea Walther, Kshitij Kulshreshtha, Andreas Griewank
Algorithmic differentiation for piecewise smooth functions: a case study for robust optimization
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified
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
Michael Monagan, René R. Rodoni
An Implementation of the Forward and Reverse mode in Maple
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
not yet classified
Louis B. Rall, George F. Corliss
An Introduction to Automatic Differentiation
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
Theory & Techniques:
General
Alexander Hück, Sebastian Kreutzer, Danny Messig, Arne Scholtissek, Christian Bischof, Christian Hasse
Application of Algorithmic Differentiation for Exact Jacobians to the Universal Laminar Flame Solver
Conference proceeding, Computational Science -- ICCS 2018, Springer International Publishing, 2018
Application Area:
Computational Fluid Dynamics
Tools:
CoDiPack
Isabelle Charpentier, Jens Gustedt
Arbogast: Higher order automatic differentiation for special functions with Modular C
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified

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