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[1-9]
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[Title],
[Author],
[Editor],
[Year] |
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Adrian Sandu
On the Properties of Runge-Kutta Discrete Adjoints
Conference proceeding,
Computational Science -- ICCS 2006, Springer,
2006 |
Theory & Techniques:
Adjoint
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D. N. Daescu, G. R. Carmichael, A. Sandu
Adjoint Implementation of Rosenbrock Methods Applied to Variational Data Assimilation Problems
Article in
Journal of Computational Physics, 2000 |
Application Area:
Atmospheric Chemistry
Tools:
TAMC
Theory & Techniques:
Adjoint
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D. K. Henze, J. H. Seinfeld, W. Liao, A. Sandu, G. R. Carmichael
Inverse Modeling of Aerosol Dynamics: Condensational Growth
Article in
J. Geophys. Res, 2004 |
Application Area:
Meteorology
Tools:
TAMC
Theory & Techniques:
Adjoint
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A. Sandu, W. Liao, G. R. Carmichael, D. K. Henze, J. H. Seinfeld
Inverse Modeling Of Aerosol Dynamics Using Adjoints: Theoretical And Numerical Considerations
Article in
Aerosol Science And Technology, 2005 |
Application Area:
Atmospheric Chemistry
Tools:
TAMC
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A. Sandu, W. Liao, G. R. Carmichael, D. Henze, J. H. Seinfeld, T. Chai, D. Daescu
Computational aspects of data assimilation for areosol dynamics
Conference proceeding,
Computational Science - ICCS 2004: 4th International Conference, Kraków, Poland, June 6-9, 2004, Proceedings, Part III, Springer,
2004 |
Application Area:
Atmospheric Chemistry
Tools:
TAMC
|
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Adrian Sandu
Reverse Automatic Differentiation of Linear Multistep Methods
Advances in Automatic Differentiation, Springer,
2008 |
Theory & Techniques:
Adjoint
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Mihai Alexe, Adrian Sandu
On the discrete adjoints of adaptive time stepping algorithms
Article in
Journal of Computational and Applied Mathematics, 2009 |
Theory & Techniques:
Adjoint
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Mihai Alexe, Adrian Sandu
Forward and adjoint sensitivity analysis with continuous explicit Runge-Kutta schemes
Article in
Applied Mathematics and Computation, 2009 |
not yet classified
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Ulrich Römer, Mahesh Narayanamurthi, Adrian Sandu
Solving parameter estimation problems with discrete adjoint exponential integrators
Article in
Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis,
2018 |
not yet classified
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[1-9]
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