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[1-13]
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[Title],
[Author],
[Editor],
[Year] |
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M. Sagebaum, T. Albring, N. R. Gauger
High-Performance Derivative Computations using CoDiPack
Article in
ACM Transactions on Mathematical Software, Association for Computing Machinery,
2019 |
Tools:
CoDiPack
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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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M. Luers, M. Sagebaum, S. Mann, J. Backhaus, D. Großmann, N. R. Gauger
Adjoint-based Volumetric Shape Optimization of Turbine Blades
Article in
AIAA 2018-3638, 2018 |
Application Area:
Aerodynamics, Computational Fluid Dynamics, Optimization, Shape optimization
Tools:
CoDiPack
Theory & Techniques:
Adjoint, Black Box, Fixpoint, Performance, Reverse Mode
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Emre Özkaya, Anil Nemili, Nicolas R. Gauger
Application of Automatic Differentiation to an Incompressible URANS Solver
Recent Advances in Algorithmic Differentiation, Springer,
2012 |
Theory & Techniques:
Adjoint, Parallelism
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T. Albring, M. Sagebaum, N. R. Gauger
Development of a Consistent Discrete Adjoint Solver in an Evolving Aerodynamic Design Framework
Article in
AIAA 2015-3240, 2015 |
Application Area:
Aerodynamics
Tools:
CoDiPack
Theory & Techniques:
Adjoint, Fixpoint
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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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Max Sagebaum, Tim Albring, Nicolas R. Gauger
Expression templates for primal value taping in the reverse mode of algorithmic differentiation
Article in
Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis,
2018 |
Application Area:
General
Tools:
CoDiPack
Theory & Techniques:
Adjoint, Black Box, Code Optimization, Implementation Strategies, Performance, Reverse Mode
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Lisa Kusch, Tim Albring, Andrea Walther, Nicolas R. Gauger
A one-shot optimization framework with additional equality constraints applied to multi-objective aerodynamic shape optimization
Article in
Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis,
2018 |
not yet classified
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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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Johannes Blühdorn, Max Sagebaum, Nicolas Gauger
Event-Based Automatic Differentiation of OpenMP with OpDiLib
Article in
ACM Trans. Math. Softw., Association for Computing Machinery,
2023 |
Theory & Techniques:
Parallelism
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