| Order by:
[Title],
[Author],
[Editor],
[Year] |
|---|
|
Christèle Faure
Splitting of Algebraic Expressions for Automatic Differentiation
Computational Differentiation: Techniques, Applications, and Tools, SIAM,
1996 |
not yet classified
|
|
|
Jan Hückelheim, Johannes Doerfert
Spray: Sparse Reductions of Arrays in OpenMP
Conference proceeding,
2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2021 |
Theory & Techniques:
Parallelism
|
|
Paul J. Werbos
Stable Adaptive Control Using New Critic Designs
1998 |
not yet classified
|
|
|
Andrew Gelman, Daniel Lee, Jiqiang Guo
Stan: A Probabilistic Programming Language for Bayesian Inference and Optimization
Article in
Journal of Educational and Behavioral Statistics, 2015 |
Application Area:
Machine Learning, Statistics
|
|
|
Detlef Stammer, Carl Wunsch Ichiro Fukumori, John Marshall
State Estimation in Modern Oceanographic Research
Article in
EOS, Transactions, 2002 |
Application Area:
Oceanography
Tools:
TAF
Theory & Techniques:
Adjoint
|
|
|
W. C. Chao, L. P. Chang
Status of the development of a variational data assimilation system using the adjoint method at Goddard Laboratory for Atmospheres
Conference proceeding,
Proceedings of the International Symposium on Assimilation of Observations in Meteorology and Oceanography, World Meteorological Organization, Geneva, Switzerland, 1990 |
not yet classified
|
|
|
Raymond Spiteri, Ryan Dean
Stiffness Analysis of Cardiac Electrophysiological Models
Article in
Annals of Biomedical Engineering, Springer Netherlands,
2010 |
Application Area:
Biomedicine, Ordinary Differential Equations
Tools:
ADiMat
|
|
|
Husam Baalousha, Jürgen Köngeter
Stochastic modelling and risk analysis of groundwater pollution using FORM coupled with automatic differentiation
Article in
Advances in Water Resources, 2006 |
Application Area:
Water Management
Tools:
ADIFOR
|
|
|
R. Meyer, D. A. Fournier, A. Berg
Stochastic volatility: Bayesian computation using automatic differentiation and the extended Kalman filter
Article in
Econometrics Journal, 2003 |
Tools:
AD Model Builder
|
|
|
Richard D. Methot
Stock Assessment: Operational Models in Support of Fisheries Management
The Future of Fisheries Science in North America, Springer,
2009 |
Application Area:
Fisheries Science
Tools:
AD Model Builder, AUTODIF
|
|
|
Heather Cole-Mullen, Andrew Lyons, Jean Utke
Storing Versus Recomputation on Multiple DAGs
Recent Advances in Algorithmic Differentiation, Springer,
2012 |
Tools:
OpenAD
|
|
|
G. Gebbie, P. Heimbach, C. Wunsch
Strategies for nested and eddy-resolving state estimation.
Article in
submitted to J. Geophys. Res., 2005 |
Application Area:
Oceanography
Tools:
TAF
Theory & Techniques:
Adjoint
|
|
John J. Doherty
Strategy for Design Optimisation
Defence Evaluation & Research Agency, 1998 |
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
|
|
|
Thomas F. Coleman, Arun Verma
Structure and Efficient Jacobian Calculation
Computational Differentiation: Techniques, Applications, and Tools, SIAM,
1996 |
Theory & Techniques:
Sparsity
|
|
|
P. Stumm, A. Walther, J. Riehme, U. Naumann
Structure-Exploiting Automatic Differentiation of Finite Element Discretizations
Advances in Automatic Differentiation, Springer,
2008 |
Tools:
NAGWare Fortran 95
|
|
|
Arun Verma
Structured Automatic Differentiation
Ph.D. thesis,
Department of Computer Science, Cornell University, 1998 |
Application Area:
General
Theory & Techniques:
Sparsity
|
|
|
S. F. Walter
Structured Higher-Order Algorithmic Differentiation in the Forward and Reverse Mode with Application in Optimum Experimental Design
Ph.D. thesis,
Mathematisch-Naturwissenschaftliche Fakultät II, Humboldt-Universität zu Berlin, 2011 |
Tools:
ADOL-C, AlgoPy, TAPENADE
Theory & Techniques:
Hierarchical Approach, Higher Order
|
|
|
Christian H. Bischof, George F. Corliss, Andreas Griewank
Structured Second- and Higher-Order Derivatives Through Univariate Taylor Series
Article in
Optimization Methods and Software, 1993 |
not yet classified
|
|
|
Christian Bischof, George Corliss, Andreas Griewank
Structured Second- and Higher-Order Derivatives Through Univariate Taylor Series
Mathematics and Computer Science Division, Argonne National Laboratory, 1992 |
not yet classified
|
