www.Autodiff.org - Publication: Automatic Differentiation: Applications, Theory, and Implementations

Automatic Differentiation: Applications, Theory, and Implementations

- Book -

Author(s)

Editor(s)
H. Martin Bücker, George F. Corliss, Paul D. Hovland, Uwe Naumann, Boyana Norris

Year
2005

Publisher
Springer

AD Theory and Techniques
General

Contained Articles
- A Bibliography on Automatic Differentiation
- A Macro Language for Derivative Definition in ADiMat
- Adjoint Differentiation of a Structural Dynamics Solver
- Application of AD-based quasi-Newton-Methods to stiff ODEs
- Application of Targeted Automatic Differentiation to Large-Scale Dynamic Optimization
- Automatic Differentiation: A Tool for Variational Data Assimilation and Adjoint Sensitivity Analysis for Flood Modeling
- Automatic Propagation of Uncertainties
- Backwards Differentiation in AD and Neural Nets: Past Links and New Opportunities
- Computation of Matrix Permanent with Automatic Differentiation
- Computing Adjoints with the NAGWare Fortran 95 Compiler
- Computing Sparse Jacobian Matrices Optimally
- Development of an Adjoint for a Complex Atmospheric Model, the ARPS, using TAF
- Efficient Sensitivities for the Spin-up Phase
- Extension of TAPENADE toward Fortran 95
- Flattening Basic Blocks
- High-Order Representation of Poincaré Maps
- Implementation of Automatic Differentiation Tools for Multicriteria IMRT Optimization
- Improving the Performance of the Vertex Elimination Algorithm for Derivative Calculation
- Periodic Orbits of Hybrid Systems and Parameter Estimation via AD
- Perspectives on Automatic Differentiation: Past, Present, and Future?
- Reduction of Storage Requirement by Checkpointing for Time-dependent Optimal Control Problems in ODEs
- Semiautomatic Differentiation for Efficient Gradient Computations
- Simulation and Optimization of the Tevatron Accelerator
- Solutions of ODEs with Removable Singularities
- Streamlined Circuit Device Model Development with fREEDA^® and ADOL-C
- Tangent Linear and Adjoint Versions of NASA/GMAO's Fortran 90 Global Weather Forecast Model
- The Adjoint Data-Flow Analyses: Formalization, Properties, and Applications
- Transforming Equation-based Models in Process Engineering

BibTeX
@BOOK{
         Bucker2005ADA,
       editor = "H. Martin B{\"u}cker and George F. Corliss and Paul D. Hovland and Uwe
         Naumann and Boyana Norris",
       title = "Automatic Differentiation: {A}pplications, Theory, and Implementations",
       series = "Lecture Notes in Computational Science and Engineering",
       publisher = "Springer",
       address = "New York, NY",
       ad_theotech = "General",
       year = "2005",
       volume = "50",
       doi = "10.1007/3-540-28438-9"
}

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