| 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
|
