Publications by Author: Gauger
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Order by: [Title], [Author], [Editor], [Year]
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
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
M. Luers, M. Sagebaum, S. Mann, J. Backhaus, D. Gro▀mann, 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
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
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
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
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
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
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
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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