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[1-6]
| Order by:
[Title],
[Author],
[Editor],
[Year] |
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S. Schlenkrich, A. Walther, N. R. Gauger, R. Heinrich
Differentiating Fixed Point Iterations with ADOL-C: Gradient Calculation for Fluid Dynamics
Conference proceeding,
Modeling, Simulation and Optimization of Complex Processes -- Proceedings of 3rd HPSC 2006, Springer,
2008 |
Application Area:
Computational Fluid Dynamics
Tools:
ADOL-C
Theory & Techniques:
Reverse Mode
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N. Gauger, A. Walther, C. Moldenhauer, M. Widhalm
Automatic differentiation of an entire design chain with applications
Conference proceeding,
New Results in Numerical and Experimental Fluid Mechanics VI, Springer,
2007 |
Application Area:
Computational Fluid Dynamics
Tools:
ADOL-C
Theory & Techniques:
Adjoint
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Ralf Giering, Thomas Kaminski, Bernhard Eisfeld, Nicolas Gauger, Jochen Raddatz, Lars Reimer
Automatic Differentiation of FLOWer and MUGRIDO
MEGADESIGN and MegaOpt --- German Initiatives for Aerodynamic Simulation and Optimization in Aircraft Design, Springer,
2009 |
Application Area:
Computational Fluid Dynamics
Tools:
TAF
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T. Albring, B. Y. Zhou, N. R. Gauger, M. Sagebaum
An Aerodynamic Design Framework based on Algorithmic Differentiation
Article in
ERCOFTAC Bulletin, 2015 |
Application Area:
Aerodynamics
Tools:
Adept, CoDiPack
Theory & Techniques:
Adjoint, Code Optimization, Fixpoint, Performance, Reverse Mode
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Alexander Hück, Christian Bischof, Max Sagebaum, Nicolas R. Gauger, Benjamin Jurgelucks, Eric Larour, Gilberto Perez
A usability case study of algorithmic differentiation tools on the ISSM ice sheet model
Article in
Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis,
2018 |
not yet classified
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Johannes Blühdorn, Nicolas R. Gauger, Matthias Kabel
AutoMat: automatic differentiation for generalized standard materials on GPUs
Article in
Computational Mechanics, 2021 |
Application Area:
Material Science, Mechanical Engineering, Ordinary Differential Equations
Theory & Techniques:
Forward Mode, Parallelism, Performance, Reverse Mode
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[1-6]
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