
Jacob Barhen, David B. Reister
Uncertainty Analysis Based on Sensitivities Generated Using Automatic Differentiation
Conference proceeding,
Computational Science and Its Applications  ICCSA 2003, Proceedings of the International Conference on Computational Science and its Applications, Montreal, Canada, May 1821, 2003. Part II, Springer,
2003 
Application Area: Beam Physics Tools: ADIFOR


Mark S. Gockenbach
Understanding code generated by TAMC
Department of Computational and Applied Mathematics, Rice University, 2000 
Application Area: General Tools: TAMC


E. H. Kerner
Universal Formats for Nonlinear Ordinary Differential Equations
Article in
Journal of Mathematical Physics, 1981 
not yet classified


Laurence C. W. Dixon
Use of Automatic Differentiation for Calculating Hessians and Newton Steps
Automatic Differentiation of Algorithms: Theory, Implementation, and Application, SIAM,
1991 
not yet classified


M. Scharpenberg, M. Luká\vcováMedvidová
Use of Automatic Differentiation for Sensitivity Analysis of Flight Loads
Conference proceeding,
Proceedings of the 1st International Workshop on Aircraft Systems Technologies, Hamburg, Germany, March 2930, 2007, Shaker,
2007 
Application Area: Aerodynamics Tools: ADiMat


M. Grecu, E. N. Anagnostou
Use Of Passive Microwave Observations In A Radar Rainfall Profiling Algorithm
Article in
J. Appl. Meteorol., 2002 
Application Area: Meteorology Tools: TAMC Theory & Techniques: Adjoint


R. Boudjemaa, Malcolm I. G. Bloor, Michael J. Wilson
Use of Reverse Automatic Differentiation in Ship Hull Optimisation
Conference proceeding,
Proceedings of the 9th IMA Conference on the Mathematics of Surfaces, SpringerVerlag,
2000 
Application Area: Shape optimization Tools: my own development Theory & Techniques: Adjoint


Alan C. Hindmarsh, Allan G. Taylor
User Documentation for IDA, a DifferentialAlgebraic 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: ADOLC


V. Fischer, L. Gerbaud, F. Wurtz
Using automatic code differentiation for optimization
Article in
Magnetics, IEEE Transactions on, 
Application Area: Electrical Engineering Tools: ADOLC


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 McGrawHill, New Delhi,
2006 
Application Area: Computational Fluid Dynamics Tools: TAPENADE Theory & Techniques: Fixpoint
