Automatic Differentiation: Applications, Theory, and Implementations

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Bücker, Martin (Επιμελητής έκδοσης), Corliss, George (Επιμελητής έκδοσης), Naumann, Uwe (Επιμελητής έκδοσης), Hovland, Paul (Επιμελητής έκδοσης), Norris, Boyana (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.
• Σειρά: Lecture Notes in Computational Science and Engineering, 50
• Θέματα: Mathematics.; Software engineering.; Computer science > Mathematics.; Mathematical analysis.; Analysis (Mathematics).; Computer mathematics.; Electrical engineering.; Computational Science and Engineering.; Software Engineering/Programming and Operating Systems.; Analysis.; Electrical Engineering.; Computational Mathematics and Numerical Analysis.; Mathematics of Computing.

Πίνακας περιεχομένων:

• 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.