Order by:
[Title],
[Author],
[Editor],
[Year] |
|
F. Fang, C. C. Pain, I. M. Navon, G. J. Gorman, M. D. Piggott, P. A. Allison
The independent set perturbation adjoint method: A new method of differentiating mesh-based fluids models
Article in
International Journal for Numerical Methods in Fluids, John Wiley & Sons, Ltd.,
2011 |
Theory & Techniques: Adjoint
|
|
J. Gao, M. Xue, Z. Wang, K. K. Droegemeier
The Initial Condition and Explicit Prediction of Convection using ARPS Adjoint and Other Retrievals Methods with WSR-88D Data
Conference proceeding,
Proceedings of 12th Conference on Numerical Weather Prediction, American Meteorological Society,
1998 |
not yet classified
|
|
C. C. Pantelides, D. Gritsis, K. R. Morison, R. W. H. Sargent
The Mathematical Modelling of Transient Systems Using Differential-Algebraic Equations
Article in
Computers Chem. Engng., 1988 |
not yet classified
|
|
I. Charpentier
The MesODiF package for gradient computations with the atmospheric model Meso-NH
Article in
Environmental Modelling & Software, 2000 |
Application Area: Geophysics Tools: Odyssee Theory & Techniques: Adjoint
|
|
Brett M. Averick, Richard G. Carter, Jorge J. Moré, Guo-Liang Xue
The MINPACK-2 Test Problem Collection
Mathematics and Computer Science Division, Argonne National Laboratory, 1992 |
Application Area: Optimization Tools: MINPACK-2 Theory & Techniques: partial separability, Sparsity
|
|
Alistair Adcroft, Jean-Michel Campin, Patrick Heimbach, Chris Hill, John Marshall
The MITgcm
Massachusetts Institute of Technology, 2002 |
Application Area: Oceanography Tools: TAF, TAMC Theory & Techniques: Adjoint
|
|
J. Czyzyk, M. P. Mesnier, J. J. Moré
The NEOS Server
Article in
IEEE Computational Science & Engineering, 1998 |
Application Area: Optimization
|
|
Andreas Griewank, Arun Verma
The Newsam-Ramsdell-Lagrange Method for Calculating Sparse Jacobians
TU Dresden, 2001 |
Theory & Techniques: Sparsity
|
|
E. Hairer, C. Lubich, M. Roche
The Numerical Solution of Differential-Algebraic Systems by Runge-Kutta Methods
Springer-Verlag,
1989 |
not yet classified
|
|
D. W. Peaceman, Jr. H. H. Rachford
The Numerical Solution of Parabolic and Elliptic Differential Equations
Article in
J. SIAM, 1955 |
not yet classified
|
|
Numerical Optimisation Centre
The OPTIMA Manual
Numerical Optimisation Centre, Faculty of Information Sciences, University of Hertfordshire, 1989 |
not yet classified
|
|
Alexander Gofen
The ordinary differential equations and automatic differentiation unified
Article in
Complex Variables and Elliptic Equations, 2009 |
Theory & Techniques: General
|
|
Lawrence C. W. Dixon, Z. Maany
The Performance of the Truncated Newton, Conjugate Gradient Algorithm in Fortran and Ada
The Numerical Optimisation Center, Hatfield Polytechnic, 1989 |
not yet classified
|
|
Torsten Bosse, Andreas Griewank
The Relative Cost of Function and Derivative Evaluations in the CUTEr Test Set
Recent Advances in Algorithmic Differentiation, Springer,
2012 |
not yet classified
|
|
A. Ibsais, V. Ajjarapu
The Role of Automatic Differentiation in Power System Analysis
Article in
IEEE Transactions on Power Systems, 1997 |
Application Area: Electrical Engineering Tools: Adifor
|
|
Paul J. Werbos
The Roots of Backpropagation: From Ordered Derivatives to Neural Networks and Political Forecasting
Wiley,
1994 |
not yet classified
|
|
Bob Carpenter, Matthew D Hoffman, Marcus Brubaker, Daniel Lee, Peter Li
The Stan Math Library: Reverse-Mode Automatic Differentiation in C++
Article in
arXiv, 2015 |
Application Area: Dynamical Systems, General Purpose Software Packages, Inverse Problems, Machine Learning, Optimization, Uncertainty Analysis, Statistics Tools: Stan Math Library Theory & Techniques: Adjoint, Code Optimization, Implementation Strategies, Memory, Reverse Mode, Software Engineering, Toolkits
|
|
Atiyah Elsheikh, Wolfgang Wiechert
The structural index of sensitivity equation systems
Article in
Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis,
2018 |
Application Area: Differential-Algebraic Equation Theory & Techniques: Equation-based AD
|
|
L. Hascoët, V. Pascual
The Tapenade Automatic Differentiation tool: Principles, Model, and Specification
Article in
ACM Transactions on Mathematical Software, 2013 |
Tools: TAPENADE Theory & Techniques: Adjoint, Checkpointing, control-flow reversal, Data Flow Analysis, data-flow reversal, Implementation Strategies, Reverse Mode, Source transformation, Static Analysis
|
|
Lawrence C. W. Dixon, Richard C. Price
The Truncated Gauss-Newton Method for Sparse Least Squares Problems Using Automatic Differentiation
The Numerical Optimisation Center, Hatfield Polytechnic, 1986 |
not yet classified
|