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Automatic Differentiation: Applications, Theory, and Implementations / edited by H. Martin Bücker, George Corliss, Paul Hovland, Uwe Naumann, Boyana Norris
(Lecture Notes in Computational Science and Engineering. ISSN:21977100 ; 50)

1st ed. 2006.
出版者 (Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年 2006
本文言語 英語
大きさ XVIII, 370 p. 108 illus : online resource
著者標目 Bücker, H. Martin editor
Corliss, George editor
Hovland, Paul editor
Naumann, Uwe editor
Norris, Boyana editor
SpringerLink (Online service)
件 名 LCSH:Mathematics -- Data processing  全ての件名で検索
LCSH:Software engineering
LCSH:Mathematical analysis
LCSH:Electrical engineering
LCSH:Computer science -- Mathematics  全ての件名で検索
FREE:Computational Science and Engineering
FREE:Software Engineering
FREE:Analysis
FREE:Electrical and Electronic Engineering
FREE:Computational Mathematics and Numerical Analysis
FREE:Mathematics of Computing
一般注記 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 aStructural Dynamics Solver -- A Bibliography of Automatic Differentiation
HTTP:URL=https://doi.org/10.1007/3-540-28438-9
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Springer eBooks 9783540284383
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データ種別 電子ブック
分 類 LCC:QA71-90
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書誌ID 4000115941
ISBN 9783540284383

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