|
|
[1-11]
| Order by:
[Title],
[Author],
[Editor],
[Year] |
|---|
|
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
|
|
|
E. Hairer, C. Lubich, M. Roche
The Numerical Solution of Differential-Algebraic Systems by Runge-Kutta Methods
Springer-Verlag,
1989 |
not yet classified
|
|
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,
2005 |
Application Area:
Electrical Engineering
Tools:
ADOL-C
|
|
|
Luigi De Luca, Roberto Musmanno
A parallel automatic differentiation algorithm for simulation models
Article in
Simulation Practice and Theory, 1997 |
Theory & Techniques:
Parallelism
|
|
|
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
|
|
|
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
|
|
|
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
|
|
|
J. Revels, M. Lubin, T. Papamarkou
Forward-Mode Automatic Differentiation in Julia
Article in
arXiv:1607.07892 [cs.MS], 2016 |
Tools:
ForwardDiff.jl
|
|
|
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
|
|
|
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
|
|
|
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
|
[1-11]
back
|
|
