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Order by: [Title], [Author], [Editor], [Year]
Victor V. Goldman, Gerard Cats
Automatic Adjoint Modeling within a Program Generation Framework: A Case Study for a Weather Forecasting Grid-Point Model
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
not yet classified
Uwe Geitner, Jean Utke, Andreas Griewank
Automatic Computation of Sparse Jacobians by Applying the Method of Newsam and Ramsdell
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
Theory & Techniques:
Sparsity
Stephen L. Campbell, Richard Hollenbeck
Automatic Differentiation and Implicit Differential Equations
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
not yet classified
Max E. Jerrell
Automatic Differentiation and Interval Arithmetic for Estimation of Econometric Functions
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
not yet classified
Eric Hassold, André Galligo
Automatic Differentiation Applied to Convex Optimization
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
not yet classified
Seon Ki Park, Kelvin K. Droegemeier, Christian H. Bischof
Automatic Differentiation as a Tool for Sensitivity Analysis of a Convective Storm in a 3-D Cloud Model
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
not yet classified
Markus Grabner, Thomas Pock, Tobias Gross, Bernhard Kainz
Automatic Differentiation for GPU-Accelerated 2D/3D Registration
Advances in Automatic Differentiation, Springer, 2008
Application Area:
Biomedicine
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
R. Baker Kearfott
Automatic Differentiation of Conditional Branches in an Operator Overloading Context
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
not yet classified
Michael Monagan, René R. Rodoni
Automatic Differentiation: An Implementation of the Forward and Reverse mode in Maple
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
not yet classified
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
Wenhong Yang, George F. Corliss
Bibliography of Computational Differentiation
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
Theory & Techniques:
General
John Guckenheimer
Bifurcations, Automatic Differentiation and Computer Generated Proofs
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
not yet classified
Kamil A. Khan
Branch-locking AD techniques for nonsmooth composite functions and nonsmooth implicit functions
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
Theory & Techniques:
Generalized Jacobian, Reverse Mode
Martin Berz
Calculus and Numerics on Levi-Civita Fields
Conference proceeding, Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
not yet classified
Uwe Naumann
Call Tree Reversal is NP-Complete
Advances in Automatic Differentiation, Springer, 2008
Theory & Techniques:
Adjoint, Checkpointing
H. Martin Bücker, Monika Petera, Andre Vehreschild
Code Optimization Techniques in Source Transformations for Interpreted Languages
Advances in Automatic Differentiation, Springer, 2008
Tools:
ADiCape, ADiMat
Theory & Techniques:
Code Optimization, Performance
Mike B. Giles
Collected Matrix Derivative Results for Forward and Reverse Mode Algorithmic Differentiation
Advances in Automatic Differentiation, Springer, 2008
Theory & Techniques:
Hierarchical Approach
Koichi Kubota
Combinatorial Computation with Automatic Differentiation
Advances in Automatic Differentiation, Springer, 2008
Theory & Techniques:
Combinatorics
Richard D. Neidinger, Benjamin Altman
Comparing high-order multivariate AD methods
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified

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