Automatic Differentiation: Applications, Theory, and Implementations

Λεπτομέρειες βιβλιογραφικής εγγραφής
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:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Automatic Differentiation: Applications, Theory, and Implementations  |h [electronic resource] /  |c edited by Martin Bücker, George Corliss, Uwe Naumann, Paul Hovland, Boyana Norris. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2006. 
300 |a XVIII, 370 p. 108 illus.  |b online resource. 
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490 1 |a Lecture Notes in Computational Science and Engineering,  |x 1439-7358 ;  |v 50 
505 0 |a 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. 
650 0 |a Mathematics. 
650 0 |a Software engineering. 
650 0 |a Computer science  |x Mathematics. 
650 0 |a Mathematical analysis. 
650 0 |a Analysis (Mathematics). 
650 0 |a Computer mathematics. 
650 0 |a Electrical engineering. 
650 1 4 |a Mathematics. 
650 2 4 |a Computational Science and Engineering. 
650 2 4 |a Software Engineering/Programming and Operating Systems. 
650 2 4 |a Analysis. 
650 2 4 |a Electrical Engineering. 
650 2 4 |a Computational Mathematics and Numerical Analysis. 
650 2 4 |a Mathematics of Computing. 
700 1 |a Bücker, Martin.  |e editor. 
700 1 |a Corliss, George.  |e editor. 
700 1 |a Naumann, Uwe.  |e editor. 
700 1 |a Hovland, Paul.  |e editor. 
700 1 |a Norris, Boyana.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783540284031 
830 0 |a Lecture Notes in Computational Science and Engineering,  |x 1439-7358 ;  |v 50 
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