| Order by:
[Title],
[Author],
[Editor],
[Year] |
|---|
|
Armen Jaworski, Jens-Dominik Müller
Toward Modular Multigrid Design Optimisation
Advances in Automatic Differentiation, Springer,
2008 |
Application Area:
Computational Fluid Dynamics, Optimal Control
Tools:
TAMC, TAPENADE
|
|
|
Isabelle Charpentier, Bruno Cochelin
Towards a full higher order AD-based continuation and bifurcation framework
Article in
Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis,
2018 |
not yet classified
|
|
|
Martin Berz
Towards a Universal Data Type for Scientific Computing
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer,
2002 |
not yet classified
|
|
S. Scott Collis, Kaveh Ghayour, Matthias Heinkenschloss, Michael Ulbrich, Stefan Ulbrich
Towards Adjoint-Based Methods for Aeroacoustic Control
AIAA, Reston Va, USA, 2001 |
Application Area:
Computational Fluid Dynamics
Tools:
TAMC
Theory & Techniques:
Adjoint
|
|
|
Malcolm Cohen, Uwe Naumann, Jan Riehme
Towards Differentiation-Enabled Fortran 95 Compiler Technology
Conference proceeding,
Proceedings of the 18th ACM Symposium on Applied Computing, Melbourne, Florida, USA, March 9--12, 2003, 2003 |
Tools:
NAGWare Fortran 95
|
|
|
G. J. van Oldenborgh, G. Burgers, S. Venzke, C. Eckert, Ralf Giering
Tracking Down the Delayed ENSO Oscillator with an Adjoint OGCM
Article in
Monthly Weather Review, 1999 |
Application Area:
Oceanography
Tools:
TAMC
|
|
|
C. F. Bornstein, B. M. Maggs, G. L. Miller
Tradeoffs Between Parallelism and Fill in Nested Dissection
Conference proceeding,
Proceedings of the 11th Annual ACM Symposium on Parallel Algorithms and Architectures (SPAA'99), ACM,
1999 |
Theory & Techniques:
Data Flow Analysis, Parallelism, Sparsity
|
|
|
Navjot Kukreja, Alena Shilova, Olivier Beaumont, Jan Hückelheim, Nicola Ferrier, Paul Hovland, Gerard Gorman
Training on the Edge: The why and the how
Conference proceeding,
2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2019 |
Theory & Techniques:
Checkpointing
|
|
|
K. Röbenack, K. J. Reinschke
Trajektorienplanung und Systeminversion mit Hilfe des Automatischen Differenzierens
Conference proceeding,
Workshop des GMA-Ausschusses 1.4 ``Neuere theoretische Verfahren der Regelungstechnik″, Thun, Sept. 26-29, 1999 |
Application Area:
Control
Tools:
ADOL-C
|
|
|
Christian H. Bischof, H. Martin Bücker, Wolfgang Marquardt, Monika Petera, Jutta Wyes
Transforming Equation-based Models in Process Engineering
Automatic Differentiation: Applications, Theory, and Implementations, Springer,
2005 |
Tools:
ADiCape
|
|
|
R. Baker Kearfott
Treating Non-Smooth Functions as Smooth Functions in Global Optimization and Nonlinear Systems Solvers
Scientific Computing and Validated Numerics, Mathematical Research, Akademie Verlag,
1995 |
not yet classified
|
|
|
Atılım Güneş Baydin, Barak A. Pearlmutter, Jeffrey Mark Siskind
Tricks from Deep Learning
2016 |
Application Area:
Machine Learning
|
|
|
P. Rayner, M. Scholze, W. Knorr, T. Kaminski, R. Giering, H. Widmann
Two decades of terrestrial Carbon fluxes from a Carbon Cycle Data Assimilation System (CCDAS)
Article in
Global Biogeochemical Cycles, 2005 |
Application Area:
Biogeochemistry
Tools:
TAF
Theory & Techniques:
Adjoint, Hessian
|
|
|
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
|
