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Order by: [Title], [Author], [Editor], [Year]
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
Louis B. Rall
Optimal implementation of differentiation arithmetic
Computerarithmetic: Scientific Computation and Programming Languages, Teubner, B. G., 1987
not yet classified
Adrian Sandu
Reverse Automatic Differentiation of Linear Multistep Methods
Advances in Automatic Differentiation, Springer, 2008
Theory & Techniques:
Adjoint
Alan Carle, Mike Fagan
Improving Derivative Performance for CFD by Using Simplified Recurrences
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
Application Area:
Computational Fluid Dynamics
Tools:
ADIFOR
Theory & Techniques:
Fixpoint
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
Andreas Griewank, Richard Hasenfelder, Manuel Radons, Lutz Lehmann, Tom Streubel
Integrating Lipschitzian dynamical systems using piecewise algorithmic differentiation
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
Theory & Techniques:
Piecewise Linear
Andreas Griewank, Tom Streubel, Lutz Lehmann, Manuel Radons, Richard Hasenfelder
Piecewise linear secant approximation via algorithmic piecewise differentiation
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
Theory & Techniques:
Piecewise Linear
Andrew Lyons, Jean Utke
On the Practical Exploitation of Scarsity
Advances in Automatic Differentiation, Springer, 2008
Tools:
OpenAD
Theory & Techniques:
Scarsity
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
Armen Jaworski, Jens-Dominik Müller
Toward Modular Multigrid Design Optimisation
Advances in Automatic Differentiation, Springer, 2008
Application Area:
Computational Fluid Dynamics, Optimal Control
Tools:
TAMC, TAPENADE
Assefaw H. Gebremedhin, Alex Pothen, Andrea Walther
Exploiting Sparsity in Jacobian Computation via Coloring and Automatic Differentiation: A Case Study in a Simulated Moving Bed Process
Advances in Automatic Differentiation, Springer, 2008
Tools:
ADOL-C
Theory & Techniques:
Sparsity
Atya Elsheikh, Wolfgang Wiechert
Automatic Sensitivity Analysis of DAE-systems Generated from Equation-Based Modeling Languages
Advances in Automatic Differentiation, Springer, 2008
Application Area:
Differential-Algebraic Equation
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
Benjamin Jurgelucks, Leander Claes, Andrea Walther, Bernd Henning
Optimization of triple-ring electrodes on piezoceramic transducers using algorithmic differentiation
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified
Bijan Mohammadi, Jean-Michel Malé, Nicole Rostaing-Schmidt
Automatic Differentiation in Direct and Reverse Modes: Application to Optimum Shapes Design in Fluid Mechanics
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
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
Bradley M. Bell, Kasper Kristensen
Newton step methods for AD of an objective defined using implicit functions
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified
Bruce Christianson
Differentiating through conjugate gradient
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified
Bruce Christianson, Laurence C. W. Dixon, Steven Brown
Sharing Storage Using Dirty Vectors
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
not yet classified
Bruce Christianson, Shaun A. Forth, Andreas Griewank
Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation
Taylor & Francis, 2018
Theory & Techniques:
General

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