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[1-7]
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[Title],
[Author],
[Editor],
[Year] |
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Tong Lee, Jean-Philippe Boulanger, Alex Foo, Lee-Lueng Fu, Ralf Giering
Data assimilation into an intermediate coupled ocean-atmosphere model: application to the 1997-98 El Nino
Article in
J. Geophys. Res., 2000 |
Application Area:
Oceanography
Tools:
TAMC
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T. Lee, B. Cheng, R. Giering
Adjoint sensitivity of Indonesian throughflow transport to wind stress: application to interannual variability
Article in
submitted to J. Phys. Oceanogr., 2002 |
Application Area:
Oceanography
Tools:
TAF, TAMC
Theory & Techniques:
Adjoint
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Steven L. Lee, Paul D. Hovland
Sensitivity Analysis Using Parallel ODE Solvers and Automatic Differentiation in C: SensPVODE and ADIC
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer,
2002 |
not yet classified
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T. Lee, I. Fukumori
Interannual-To-Decadal Variations Of Tropical-Subtropical Exchange In The Pacific Ocean: Boundary Versus Interior Pycnocline Transports
Article in
J. Climate, 2003 |
Application Area:
Oceanography
Tools:
TAF
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A. Bardow, C. H. Bischof, H. M. Bücker, G. Dietze, R. Kneer, A. Leefken, W. Marquardt, U. Renz, E. Slusanschi
Sensitivity-Based Analysis of the k-ε Model for the Turbulent Flow Between Two Plates
Article in
Chemical Engineering Science, 2008 |
Application Area:
Computational Fluid Dynamics, Optimization
Tools:
ADIFOR
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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
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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
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