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Order by: [Title], [Author], [Editor], [Year]
Wolfram Klein
Comparisons of Automatic Differentiation Tools in Circuit Simulation
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
Application Area:
Electrical Engineering
Tools:
ADIFOR, ADOL-C, Odyssee
Martin Berz, Christian Bischof, George Corliss, Andreas Griewank
Computational Differentiation: Techniques, Applications and Tools
SIAM, 1996
Theory & Techniques:
General
Paul I. Barton, Kamil A. Khan, Peter Stechlinski, Harry A. J. Watson
Computationally relevant generalized derivatives: theory, evaluation and applications
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
Theory & Techniques:
Generalized Jacobian
John Guckenheimer
Computer Proofs for Bifurcations of Planar Dynamical Systems
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
not yet classified
H. Martin Bücker, Andre Vehreschild
Coping with a Variable Number of Arguments when Transforming MATLAB Programs
Advances in Automatic Differentiation, Springer, 2008
Tools:
ADiMat
Theory & Techniques:
Data Flow Analysis, Software Engineering
Martin Berz, Kyoko Makino, Khodr Shamseddine, Georg H. Hoffstätter, Weishi Wan
COSY INFINITY and Its Applications in Nonlinear Dynamics
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
Tools:
COSY INFINITY
Theory & Techniques:
Sparsity
Jaewook Shin, Priyadarshini Malusare, Paul D. Hovland
Design and Implementation of a Context-Sensitive, Flow-Sensitive Activity Analysis Algorithm for Automatic Differentiation
Advances in Automatic Differentiation, Springer, 2008
Theory & Techniques:
Data Flow Analysis
Michael Voßbeck, Ralf Giering, Thomas Kaminski
Development and First Applications of TAC++
Advances in Automatic Differentiation, Springer, 2008
Tools:
TAC++
Bruce Christianson
Differentiating through conjugate gradient
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified
Louis B. Rall
Differentiation Arithmetics
Computer Arithmetic and Self-Validating Numerical Methods, Academic Press, 1990
not yet classified
Jeffrey Mark Siskind, Barak A. Pearlmutter
Divide-and-conquer checkpointing for arbitrary programs with no user annotation
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
Theory & Techniques:
Checkpointing
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
Isabelle Charpentier, Claude Dal Cappello, Jean Utke
Efficient Higher-Order Derivatives of the Hypergeometric Function
Advances in Automatic Differentiation, Springer, 2008
Tools:
Diamant, Rapsodia
Theory & Techniques:
Higher Order, Taylor Arithmetic
Jean Utke
Efficient Newton Steps without Jacobians
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
Tools:
ADOL-C
Theory & Techniques:
Computational Graph, Sparsity
Koichi Kubota
Enumeration of subdifferentials of piecewise linear functions with abs-normal form
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified
H. Martin Bücker, Johannes Willkomm
Estimating the expansion coefficients of a geomagnetic field model using first-order derivatives of associated Legendre functions
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
Application Area:
Geophysics
Tools:
ADiMat
Theory & Techniques:
Hierarchical Approach
Khodr Shamseddine, Martin Berz
Exception Handling in Derivative Computation with Nonarchimedean Calculus
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
not yet classified
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
Max Sagebaum, Tim Albring, Nicolas R. Gauger
Expression templates for primal value taping in the reverse mode of algorithmic differentiation
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
Application Area:
General
Tools:
CoDiPack
Theory & Techniques:
Adjoint, Black Box, Code Optimization, Implementation Strategies, Performance, Reverse Mode
David W. Juedes, Karthik Balakrishnan
Generalized Neural Networks, Computational Differentiation, and Evolution
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
Tools:
ADOL-C

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