Automatic Differentiation: Applications, Theory, and Implementations
Applications, Theory and Implementations
(Sprache: Englisch)
The Fourth International Conference on Automatic Di?erentiation was held July20-23inChicago,Illinois.Theconferenceincludedaonedayshortcourse, 42 presentations, and a workshop for tool developers. This gathering of au- matic di?erentiation researchers...
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The Fourth International Conference on Automatic Di?erentiation was held July20-23inChicago,Illinois.Theconferenceincludedaonedayshortcourse, 42 presentations, and a workshop for tool developers. This gathering of au- matic di?erentiation researchers extended a sequence that began in Breck- ridge, Colorado, in 1991 and continued in Santa Fe, New Mexico, in 1996 and Nice, France, in 2000. We invited conference participants and the general - tomatic di?erentiation community to submit papers to this special collection. The28acceptedpapersre?ectthestateoftheartinautomaticdi?erentiation. The number of automatic di?erentiation tools based on compiler techn- ogy continues to expand. The papers in this volume discuss the implem- tation and application of several compiler-based tools for Fortran, including the venerable ADIFOR, an extended NAGWare compiler, TAF, and TAPE- NADE. While great progress has been made toward robust, compiler-based tools for C/C++, most notably in the form of the ADIC and TAC++ tools, for now operator-overloading tools such as ADOL-C remain the undisputed champions for reverse-mode automatic di?erentiation of C++. Tools for - tomatic di?erentiation of high level languages, including COSY and ADiMat, continue to grow in importance as the productivity gains o?ered by high-level programming are recognized.
Inhaltsverzeichnis zu „Automatic Differentiation: Applications, Theory, and Implementations “
- Perspectives on Automatic Differentiation: Past, Present, and Future?- Backwards Differentiation in AD and Neural Nets: Past Links and New Opportunities
- Solutions of ODEs with Removable Singularities
- Automatic Propagation of Uncertainties
- High-Order Representation of Poincarée Maps
- Computation of Matrix Permanent with Automatic Differentiation
- Computing Sparse Jacobian Matrices Optimally
- Application of AD-based Quasi-Newton Methods to Stiff ODEs
- Reduction of Storage Requirement by Checkpointing for Time-Dependent Optimal Control Problems in ODEs
- Improving the Performance of the Vertex Elimination Algorithm for Derivative Calculation
- Flattening Basic Blocks
- The Adjoint Data-Flow Analyses: Formalization, Properties, and Applications
- Semiautomatic Differentiation for Efficient Gradient Computations
- Computing Adjoints with the NAGWare Fortran 95 Compiler
- Transforming Equation-Based Models in Process Engineering
- Extension of TAPENADE toward Fortran 95
- A Macro Language for Derivative Definition in ADiMat
- Simulation and Optimization of the Tevatron Accelerator
- Periodic Orbits of Hybrid Systems and Parameter Estimation via AD
- Implementation of Automatic Differentiation Tools for Multicriteria IMRT Optimization
- 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
- Development of an Adjoint for a Complex Atmospheric Model, the ARPS, using TAF
- Tangent Linear and Adjoint Versions of NASA/GMAO's Fortran 90 Global Weather Forecast Model
- Efficient Sensitivities for the Spin-Up Phase
- Streamlined Circuit Device Model Development with fREEDAR® ãnd ADOL-C
- Adjoint Differentiation of a Structural Dynamics Solver
- A Bibliography of Automatic Differentiation
Bibliographische Angaben
- 2006, 370 Seiten, 108 Schwarz-Weiss-Abbildungen, Masse: 15,9 x 23,9 cm, Kartoniert (TB), Englisch
- Herausgegeben: H. Martin Bücker, George Corliss, Paul Hovland, Uwe Naumann, Boyana Norris
- Verlag: Springer
- ISBN-10: 3540284036
- ISBN-13: 9783540284031
- Erscheinungsdatum: 14.12.2005
Sprache:
Englisch
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