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[1-14]
| Order by:
[Title],
[Author],
[Editor],
[Year] |
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C. Zhu, R. H. Byrd, P. Lu, J. Nocedal
LBFGS-B: Fortran Subroutines for Large-Scale Bound Constrained Optimization
EECS Northwestern Univ., 1994 |
not yet classified
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E. Hairer, C. Lubich, M. Roche
The Numerical Solution of Differential-Algebraic Systems by Runge-Kutta Methods
Springer-Verlag,
1989 |
not yet classified
|
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S. Blessing, K. Fraedrich, F. Lunkeit
Climate diagnostics by adjoint modelling: A feasibility study
Conference proceeding,
The KIHZ project: Towards a synthesis of Holocene Proxy Data and Climate Models, Springer,
2004 |
Application Area:
Meteorology
Tools:
TAMC
Theory & Techniques:
Adjoint
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Luigi De Luca, Roberto Musmanno
A parallel automatic differentiation algorithm for simulation models
Article in
Simulation Practice and Theory, 1997 |
Theory & Techniques:
Parallelism
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|
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M. Scharpenberg, M. Luká\vcová-Medvidová
Use of Automatic Differentiation for Sensitivity Analysis of Flight Loads
Conference proceeding,
Proceedings of the 1st International Workshop on Aircraft Systems Technologies, Hamburg, Germany, March 29--30, 2007, Shaker,
2007 |
Application Area:
Aerodynamics
Tools:
ADiMat
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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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Jan Schumann-Bischoff, Stefan Luther, Ulrich Parlitz
Nonlinear system identification employing automatic differentiation
Article in
Communications in Nonlinear Science and Numerical Simulation, Elsevier,
2013 |
Application Area:
Data Assimilation
Tools:
ADOL-C
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David C. Carothers, Stephen K. Lucas, G. Edgar Parker, Joseph D. Rudmin, James S. Sochacki, Roger J. Thelwell, Anthony Tongen, Paul G. Warne
Connections Between Power Series Methods and Automatic Differentiation
Recent Advances in Algorithmic Differentiation, Springer,
2012 |
Theory & Techniques:
General
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I. Dunning, J. Huchette, M. Lubin
JuMP: A Modeling Language for Mathematical Optimization
Article in
SIAM Review, 2017 |
Application Area:
Optimization
Tools:
ForwardDiff.jl
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J. Revels, M. Lubin, T. Papamarkou
Forward-Mode Automatic Differentiation in Julia
Article in
arXiv:1607.07892 [cs.MS], 2016 |
Tools:
ForwardDiff.jl
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C. G. Petra, F. Qiang, M. Lubin, J. Huchette
On efficient Hessian computation using the edge pushing algorithm in Julia
Article in
Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis,
2018 |
not yet classified
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A. A. Gaffar, O. Mencer, W. Luk, P. Y. K. Cheung, N. Shirazi
Floating-point bitwidth analysis via automatic differentiation
Conference proceeding,
Proceedings of the 2002 IEEE International Conference on Field-Programmable Technology, IEEE,
2002 |
Application Area:
Optimization
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Lu Lu, Xuhui Meng, Zhiping Mao, George Em Karniadakis
DeepXDE: A Deep Learning Library for Solving Differential Equations
Article in
SIAM Review, 2021 |
Application Area:
Machine Learning
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Frank P. Hart, Nikhil Kriplani, Sonali R. Luniya, Carlos E. Christoffersen, Michael B. Steer
Streamlined Circuit Device Model Development with fREEDA^® and ADOL-C
Automatic Differentiation: Applications, Theory, and Implementations, Springer,
2006 |
Application Area:
Electrical Engineering
Tools:
ADOL-C
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