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[1-11]
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[Title],
[Author],
[Editor],
[Year] |
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D. Müller, R. Giering, U. Mikolajewicz, E. Maier-Reimer
Cyclostationary circulation estimation with a global ocean assimilation system
MPI, 1998 |
Application Area:
Oceanography
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P. Cusdin, J. -D. Müller
An Introduction to Tangent and Adjoint Mode Automatic Differentiation for Computational Fluid Dynamics
QUB School of Aeronautical Engineering, 2003 |
Application Area:
Computational Fluid Dynamics
Tools:
Adifor, TAMC, TAF, Tapenade
Theory & Techniques:
Introduction, Reverse Mode
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P. Cusdin, J. -D. Müller
Deriving Linear and Adjoint codes for CFD using Automatic Differentiation
QUB School of Aeronautical Engineering, 2003 |
Application Area:
Computational Fluid Dynamics
Tools:
ADIFOR, TAF, TAMC, TAPENADE
Theory & Techniques:
Adjoint, Iteration, Tangent
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P. Cusdin, J. -D. Müller
Generating Efficient Code with Automatic Differentiation
Conference proceeding,
ECCOMAS Congress, 2004 |
Application Area:
Computational Fluid Dynamics
Tools:
Adifor, TAF, TAMC, Tapenade
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P. Cusdin, J. -D. Müller
Improving the Performance of Code Generated by Automatic Differentiation
QUB School of Aeronautical Engineering, 2003 |
Application Area:
Computational Fluid Dynamics
Tools:
ADIFOR, TAF, TAPENADE
Theory & Techniques:
Tangent, Adjoint
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P. Cusdin, J. -D. Müller
On the Performance of Discrete Adjoint CFD Codes using Automatic Differentiation
Article in
International Journal of Numerical Methods in Fluids, 2005 |
Application Area:
Computational Fluid Dynamics
Tools:
ADIFOR, TAF, TAPENADE
Theory & Techniques:
Adjoint, Iteration, Tangent
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P. Cusdin, J. -D. Müller
Automatic Differentiation and Sensitivity Analysis Methods for CFD
QUB School of Aeronautical Engineering, 2003 |
Application Area:
Computational Fluid Dynamics
Tools:
ADIFOR, TAF, TAPENADE
Theory & Techniques:
Tangent, Adjoint
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J. F. Müller, T. Stavrakou
Inversion Of Co And Nox Emissions Using The Adjoint Of The Images Model
Article in
Atmospheric Chemistry And Physics, 2005 |
Application Area:
Atmospheric Chemistry
Tools:
TAMC
Theory & Techniques:
Adjoint
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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
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Jan C. Hückelheim, Paul D. Hovland, Michelle M. Strout, Jens-Dominik Müller
Parallelizable adjoint stencil computations using transposed forward-mode algorithmic differentiation
Article in
Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis,
2018 |
Application Area:
Computational Fluid Dynamics
Tools:
TAPENADE
Theory & Techniques:
Adjoint, Code Optimization, control-flow reversal, Data Flow Analysis, data-flow reversal, Implementation Strategies, Parallelism, Performance, Reverse Mode, Source transformation
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Siamak Akbarzadeh, Jan Hückelheim, Jens-Dominik Müller
Consistent treatment of incompletely converged iterative linear solvers in reverse-mode algorithmic differentiation
Article in
Computational Optimization and Applications, Springer Science and Business Media LLC,
2020 |
Theory & Techniques:
Iteration
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