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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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Corina Nentwich, Sebastian Engell
Surrogate modeling of phase equilibrium calculations using adaptive sampling
Article in
Computers & Chemical Engineering, 2019 |
Application Area:
Chemistry
Tools:
ADiMat
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Atiyah Elsheikh
Dynamic Parameter Sensitivities: Summary of Computation Methods for Continuous-time Modelica Models
Modelica'2019: The 13th International Modelica Conference, 2019 |
Application Area:
Differential-Algebraic Equation
Tools:
ADModelica
Theory & Techniques:
Equation-based AD
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Benjamin Jurgelucks
Increased sensitivity in parameter identification problems for piezoelectrics
Ph.D. thesis,
Fakultät für Elektrotechnik, Informatik und Mathematik, Universität Paderborn, 2019 |
Application Area:
Electrical Engineering
Tools:
ADiMat, ADOL-C
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Merchan Restrepo, Victor Alejandro
Efficient Implementation of Advanced Molecularly-based Equation of State Models out of the Documentation Level
Ph.D. thesis,
Fakultät Prozesswissenschaften, Technische Universität Berlin, 2019 |
Application Area:
Process Engineering
Tools:
ADiMat, CasADi
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Charles C. Margossian
A review of automatic differentiation and its efficient implementation
Article in
WIREs Data Mining and Knowledge Discovery, 2019 |
Theory & Techniques:
Introduction
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Y. Chen, M. Bruschetta, E. Picotti, A. Beghi
MATMPC -- A MATLAB Based Toolbox for Real-time Nonlinear Model Predictive Control
Conference proceeding,
2019 18th European Control Conference (ECC), 2019 |
Application Area:
Control
Tools:
CasADi
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Alberto Ramos
Automatic differentiation for error analysis of Monte Carlo data
Article in
Computer Physics Communications, 2019 |
Application Area:
Error Analysis
Tools:
aderrors
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O. Manzyuk, B. A. Pearlmutter, A. A. Radul, D. R. Rush, J. M. Siskind
Perturbation confusion in forward automatic differentiation of higher-order functions
Article in
Journal of Functional Programming, Cambridge University Press,
2019 |
Theory & Techniques:
Higher Order
|
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François Fraysse, Richard Saurel
Automatic differentiation using operator overloading (ADOO) for implicit resolution of hyperbolic single phase and two-phase flow models
Article in
Journal of Computational Physics, 2019 |
Application Area:
Computational Fluid Dynamics
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Navjot Kukreja, Alena Shilova, Olivier Beaumont, Jan Hückelheim, Nicola Ferrier, Paul Hovland, Gerard Gorman
Training on the Edge: The why and the how
Conference proceeding,
2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2019 |
Theory & Techniques:
Checkpointing
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