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Order by: [Title], [Author], [Editor], [Year]
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
Andreas Griewank, Philippe L. Toint
On the Unconstrained Optimization of Partially Separable Functions
Nonlinear Optimization 1981, Academic Press, 1982
not yet classified
Tim Kaler, Tao B. Schardl, Brian Xie, Charles E. Leiserson, Jie Chen, Aldo Pareja, Georgios Kollias
PARAD: A Work-Efficient Parallel Algorithm for Reverse-Mode Automatic Differentiation
Conference proceeding, Proceedings of the Symposium on Algorithmic Principles of Computer Systems (APOCS), Society for Industrial and Applied Mathematics, 2021
Theory & Techniques:
Parallelism, Reverse Mode
Dominik Garmatter, Andrea Maggi, Marcus Wenzel, Shaimaa Monem, Mirko Hahn, Martin Stoll, Sebastian Sager, Peter Benner, Kai Sundmacher
Power-to-Chemicals: A Superstructure Problem for Sustainable Syngas Production
Mathematical Modeling, Simulation and Optimization for Power Engineering and Management, Springer International Publishing, 2021
Application Area:
Chemistry
Tools:
ADiMat
Alexander Hück, Johannes Willkomm, Christian Bischof
Recent Trends in Computational Engineering---CE2014: Optimization, Uncertainty, Parallel Algorithms, Coupled and Complex Problems
Springer International Publishing, 2015
Tools:
ADiMat
Theory & Techniques:
Implementation Strategies
Alexander Hück, Johannes Willkomm, Christian Bischof
Source Transformation for the Optimized Utilization of the Matlab Runtime System for Automatic Differentiation
Recent Trends in Computational Engineering --- CE2014: Optimization, Uncertainty, Parallel Algorithms, Coupled and Complex Problems, Springer International Publishing, 2015
Tools:
ADiMat

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