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Order by: [Title], [Author], [Editor], [Year]
Dominique Villard, Michael B. Monagan
ADrien: an implementation of automatic differentiation in Maple
Conference proceeding, ISSAC '99: Proceedings of the 1999 international symposium on Symbolic and algebraic computation, ACM Press, 1999
not yet classified
Steven S. Muchnick
Advanced Compiler Design and Implementation
Morgan Kaufmann, 1997
Theory & Techniques:
General
Christian H. Bischof, H. Martin Bücker, Paul D. Hovland, Uwe Naumann, Jean Utke
Advances in Automatic Differentiation
Springer, 2008
Theory & Techniques:
General
V. Korivi, A. Taylor, Perry Newman
Aerodynamic Optimization Studies Using a 3-D Supersonic Euler Code with Efficient Calculation of Sensitivity Derivatives
Conference proceeding, Proceedings of the 5th AIAA/NASA/USAF/ISSMO Symposium on Multidisciplinary Analysis and Optimization, AIAA 94-4270, American Institute of Aeronautics and Astronautics, 1994
not yet classified
Shaun A. Forth, Trevor P. Evans
Aerofoil Optimisation via AD of a Multigrid Cell-Vertex Euler Flow Solver
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
Application Area:
Computational Fluid Dynamics
Tools:
ADIFOR
Theory & Techniques:
Iteration
Jose Maria Varas Casado, Rob Hewson
Algorithm 1008: Multicomplex Number Class for Matlab, with a Focus on the Accurate Calculation of Small Imaginary Terms for Multicomplex Step Sensitivity Calculations
Article in ACM Trans. Math. Softw., Association for Computing Machinery, 2020
Theory & Techniques:
Multicomplex Step Differentiation
S. A. Lill
Algorithm 46: A modified Davidon method for finding the minimum of a function using difference approximation for derivatives
Article in The Computer J., 1970
not yet classified
Jorge J. Moré, Burton S. Garbow, Kenneth E. Hillstrom
Algorithm 566. FORTRAN Subroutines for Testing Unconstrained Optimization Software
Article in ACM Trans. Math. Software, 1981
not yet classified
M. Dobmann, M. Liepelt, K. Schittkowski
Algorithm 746: PCOMP: A Fortran Code for Automatic Differentiation
Article in ACM Transactions on Mathematical Software, 1995
Tools:
PCOMP
Andreas Griewank, David Juedes, Jean Utke
Algorithm 755: ADOL-C: A Package for the Automatic Differentiation of Algorithms Written in C/ C++
Article in ACM Transactions on Mathematical Software, 1996
Tools:
ADOL-C
Theory & Techniques:
Hessian, Reverse Mode, Taylor Arithmetic, Forward Mode
Andreas Griewank, Andrea Walther
Algorithm 799: Revolve: An Implementation of Checkpoint for the Reverse or Adjoint Mode of Computational Differentiation
Article in ACM Transactions on Mathematical Software, 2000
Tools:
Treeverse / Revolve
Theory & Techniques:
Checkpointing
B. W. Brown, F. M. Spears, L. B. Levy, J. Lovato, K. Russell
Algorithm LLDRLF: Log-likelihood and Some Derivatives for Log-F Models
Dept. of Biomathematics, The University of Texas M.D. Anderson Cancer Center, 1994
not yet classified
Sandro Sorella, Luca Capriotti
Algorithmic differentiation and the calculation of forces by quantum Monte Carlo
Article in The Journal of Chemical Physics, 2010
Application Area:
Chemistry
Tools:
TAPENADE
E. M. Tadjouddine
Algorithmic Differentiation Applied to Economics
Conference proceeding, Proceedings of the of the International MultiConference of Engineers and Computer Scientists 2009 (IMECS 2009), Hong Kong, March 18--20, 2009, Newswood Limited, 2009
Application Area:
Economics
Tools:
MAD, TOMLAB /MAD
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
Jacob Smith, Dos Reis, Gabriel, Jaakko Järvi
Algorithmic differentiation in Axiom
Conference proceeding, Proceedings of the 2007 international symposium on Symbolic and algebraic computation, ACM, 2007
Theory & Techniques:
Implementation Strategies
Marc Henrard
Algorithmic Differentiation in Finance Explained
Palgrave Macmillan, 2017
Application Area:
Finance
Theory & Techniques:
Introduction
Sebastian F. Walter, Lutz Lehmann
Algorithmic differentiation in Python with AlgoPy
Article in Journal of Computational Science, 2013
Tools:
AlgoPy
C. H. Bischof, H. M. Bücker, A. Rasch, E. Slusanschi
Algorithmic Differentiation of Different Algorithms for the Same Problem: A Case Study
Conference proceeding, Proceedings of the 18th European Simulation Multiconference, Magdeburg, Germany, June 13--16, 2004, SCS Publishing House, 2004
Application Area:
Computational Fluid Dynamics
Tools:
ADIFOR
Theory & Techniques:
General
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

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