Publication Database
Introduction
Applications
Tools
Research Groups
Workshops
Publications
   List Publications
   Advanced Search
   Info
   Add Publications
My Account
About


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 18--21, 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\vcová-Medvidová
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 29--30, 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, Springer-Verlag, 2000
Application Area:
Shape optimization
Tools:
my own development
Theory & Techniques:
Adjoint
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

back
  

Contact:
autodiff.org
Username:
Password:
(lost password)