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Order by: [Title], [Author], [Editor], [Year]
Alan C. Hindmarsh, Allan G. Taylor
User Documentation for IDA, a Differential-Algebraic Equation Solver for Sequential and Parallel Computers
Lawrence Livermore National Laboratory, 1999
not yet classified
Edgar J. Soulié
User's Experience with FORTRAN Compilers in Least Squares Problems
Automatic Differentiation: Applications, Theory, and Implementations, SIAM, 1991
not yet classified
M. D. Liu, A. L. Tits
User's Guide for ADIFFSQP Version 0.9: A Utility Program that Allows the User of the FFSQP Constrained Nonlinear Optimization Routines to Conveniently Invoke the Computational Differentiation Preprocessor ADIFOR 2.0
University of Maryland, Systems Research Center, 1997
not yet classified
E. Michael Gertz, Philip E. Gill, Julia Muetherig
User's Guide for SnadiOpt: A Package Adding Automatic Differentiation to Snopt
Department of Mathematics, University of California, 2000
Tools:
ADIFOR
Stephen G. Nash
User's Guide for TN/TNBC: Fortran Routines for Nonlinear Optimization
Mathematical Sciences Dept., The Johns Hopkins Univ., 1984
not yet classified
Phillipe L. Toint
User's Guide to the Routine VE08 for Solving Partially Separable Bounded Optimization Problems
FUNDP, 1983
not yet classified
Christian H. Bischof, Alan Carle
Users' Experience with ADIFOR 2.0
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
not yet classified
L. F. Shampine, Robert Ketzscher, Shaun A. Forth
Using AD to Solve BVPs in Matlab
Article in ACM Transactions on Mathematical Software, 2005
Tools:
TOMLAB /MAD, MAD
Christian H. Bischof, Paul Hovland
Using ADIFOR to Compute Dense and Sparse Jacobians
Mathematics and Computer Science Division, Argonne National Laboratory, 1991
Tools:
ADIFOR
Theory & Techniques:
Hessian, Sparsity
V. Fischer, L. Gerbaud, F. Wurtz
Using automatic code differentiation for optimization
Article in Magnetics, IEEE Transactions on, 2005
Application Area:
Electrical Engineering
Tools:
ADOL-C
V. Fischer, L. Gerbaud, F. Wurtz
Using automatic code differentiation for optimization
Article in Magnetics, IEEE Transactions on,
Application Area:
Electrical Engineering
Tools:
ADOL-C
T. Orfanogianni, R. Bach
Using Automatic Code Differentiation in Power Flow Algorithms
Article in IEEE Transactions on Power Systems, 1999
Application Area:
Electrical Engineering
Tools:
adifor
M. B. Giles, D. Ghate, M. C. Duta
Using automatic differentiation for adjoint CFD code development
Recent Trends in Aerospace Design and Optimization, Tata McGraw-Hill, New Delhi, 2006
Application Area:
Computational Fluid Dynamics
Tools:
TAPENADE
Theory & Techniques:
Fixpoint
Mu Wang, Guang Lin, Alex Pothen
Using automatic differentiation for compressive sensing in uncertainty quantification
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified
H. Olsson, H. Tummescheit, H. Elmqvist
Using automatic differentiation for partial derivatives of functions in Modelica
Conference proceeding, Proceedings of Modelica2005,
Application Area:
Differential-Algebraic Equation, Dynamical Systems, Ordinary Differential Equations
David E. Keyes, Paul D. Hovland, Lois C. McInnes, Widodo Samyono
Using Automatic Differentiation for Second-order Matrix-free Methods in PDE-Constrained Optimization
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
not yet classified
H. M. Bücker, R. Beucker, C. H. Bischof
Using Automatic Differentiation for the Minimal p-Norm Solution of the Biomagnetic Inverse Problem
Conference proceeding, Shaping Future with Simulation, Proceedings of the 4th International Eurosim 2001 Congress, Delft, The Netherlands, June 26--29, 2001, Dutch Benelux Simulation Society, 2001
Application Area:
Biomedicine
Tools:
ADIFOR
H. M. Bücker, R. Beucker
Using automatic differentiation for the solution of the minimum p-norm estimation problem in magnetoencephalography
RWTH, Institute for Scientific Computing, 2002
Application Area:
Biomedicine
Tools:
TAF
Theory & Techniques:
Adjoint
H. M. Bücker, R. Beucker
Using automatic differentiation for the solution of the minimum p-norm estimation problem in magnetoencephalography
Article in Simulation Modelling Practice and Theory, 2004
Application Area:
Biomedicine
Tools:
TAF
Mihai Alexe, Oleg Roderick, Mihai Anitescu, Jean Utke, Thomas Fanning, Paul Hovland.
Using Automatic Differentiation in Sensitivity Analysis of Nuclear Simulation Models
Article in Transactions of the American Nuclear Society, 2010
Application Area:
Engineering
Tools:
OpenAD, TAPENADE
Theory & Techniques:
Forward Mode, Reverse Mode

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