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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
Alexander Hück, Sebastian Kreutzer, Danny Messig, Arne Scholtissek, Christian Bischof, Christian Hasse
Application of Algorithmic Differentiation for Exact Jacobians to the Universal Laminar Flame Solver
Conference proceeding, Computational Science -- ICCS 2018, Springer International Publishing, 2018
Application Area:
Computational Fluid Dynamics
Tools:
CoDiPack
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
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
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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