Advances in Automatic Differentiation / SpringerLink (Online service) ; Christian H. Bischof ; H. Martin Bücker ; Paul Hovland ; Uwe Naumann ; Jean Utke (2008)  

Público ISBD Título : Advances in Automatic Differentiation Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Christian H. Bischof ; H. Martin Bücker ; Paul Hovland ; Uwe Naumann ; Jean Utke Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2008 Colección: Lecture Notes in Computational Science and Engineering, ISSN 1439-7358 num. 64 Número de páginas: XVIII, 368 p. 111 illus Il.: online resource ISBN/ISSN/DL: 978-3-540-68942-3 Idioma : Inglés (eng) Palabras clave: Mathematics  Computers  Computer  science  mathematics  Mathematical  optimization  Electrical  engineering  Computational  Science  and  Engineering  Optimization  Theory  of  Computation  Numerical  Analysis  Computing Clasificación: 51 Matemáticas Resumen: This collection covers advances in automatic differentiation theory and practice. Computer scientists and mathematicians will learn about recent developments in automatic differentiation theory as well as mechanisms for the construction of robust and powerful automatic differentiation tools. Computational scientists and engineers will benefit from the discussion of various applications, which provide insight into effective strategies for using automatic differentiation for inverse problems and design optimization Nota de contenido: Reverse Automatic Differentiation of Linear Multistep Methods -- Call Tree Reversal is NP-Complete -- On Formal Certification of AD Transformations -- Collected Matrix Derivative Results for Forward and Reverse Mode Algorithmic Differentiation -- A Modification of Weeks’ Method for Numerical Inversion of the Laplace Transform in the Real Case Based on Automatic Differentiation -- A Low Rank Approach to Automatic Differentiation -- Algorithmic Differentiation of Implicit Functions and Optimal Values -- Using Programming Language Theory to Make Automatic Differentiation Sound and Efficient -- A Polynomial-Time Algorithm for Detecting Directed Axial Symmetry in Hessian Computational Graphs -- On the Practical Exploitation of Scarsity -- Design and Implementation of a Context-Sensitive, Flow-Sensitive Activity Analysis Algorithm for Automatic Differentiation -- Efficient Higher-Order Derivatives of the Hypergeometric Function -- The Diamant Approach for an Efficient Automatic Differentiation of the Asymptotic Numerical Method -- Tangent-on-Tangent vs. Tangent-on-Reverse for Second Differentiation of Constrained Functionals -- Parallel Reverse Mode Automatic Differentiation for OpenMP Programs with ADOL-C -- Adjoints for Time-Dependent Optimal Control -- Development and First Applications of TAC++ -- TAPENADE for C -- Coping with a Variable Number of Arguments when Transforming MATLAB Programs -- Code Optimization Techniques in Source Transformations for Interpreted Languages -- Automatic Sensitivity Analysis of DAE-systems Generated from Equation-Based Modeling Languages -- Index Determination in DAEs Using the Library indexdet and the ADOL-C Package for Algorithmic Differentiation -- Automatic Differentiation for GPU-Accelerated 2D/3D Registration -- Robust Aircraft Conceptual Design Using Automatic Differentiation in Matlab -- Toward Modular Multigrid Design Optimisation -- Large Electrical Power Systems Optimization Using Automatic Differentiation -- On the Application of Automatic Differentiation to the Likelihood Function for Dynamic General Equilibrium Models -- Combinatorial Computation with Automatic Differentiation -- Exploiting Sparsity in Jacobian Computation via Coloring and Automatic Differentiation: A Case Study in a Simulated Moving Bed Process -- Structure-Exploiting Automatic Differentiation of Finite Element Discretizations -- Large-Scale Transient Sensitivity Analysis of a Radiation-Damaged Bipolar Junction Transistor via Automatic Differentiation En línea: http://dx.doi.org/10.1007/978-3-540-68942-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34320 Advances in Automatic Differentiation [documento electrónico] / SpringerLink (Online service) ; Christian H. Bischof ; H. Martin Bücker ; Paul Hovland ; Uwe Naumann ; Jean Utke . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2008 . - XVIII, 368 p. 111 illus : online resource. - (Lecture Notes in Computational Science and Engineering, ISSN 1439-7358; 64) . ISBN : 978-3-540-68942-3 Idioma : Inglés (eng) Palabras clave: Mathematics  Computers  Computer  science  mathematics  Mathematical  optimization  Electrical  engineering  Computational  Science  and  Engineering  Optimization  Theory  of  Computation  Numerical  Analysis  Computing Clasificación: 51 Matemáticas Resumen: This collection covers advances in automatic differentiation theory and practice. Computer scientists and mathematicians will learn about recent developments in automatic differentiation theory as well as mechanisms for the construction of robust and powerful automatic differentiation tools. Computational scientists and engineers will benefit from the discussion of various applications, which provide insight into effective strategies for using automatic differentiation for inverse problems and design optimization Nota de contenido: Reverse Automatic Differentiation of Linear Multistep Methods -- Call Tree Reversal is NP-Complete -- On Formal Certification of AD Transformations -- Collected Matrix Derivative Results for Forward and Reverse Mode Algorithmic Differentiation -- A Modification of Weeks’ Method for Numerical Inversion of the Laplace Transform in the Real Case Based on Automatic Differentiation -- A Low Rank Approach to Automatic Differentiation -- Algorithmic Differentiation of Implicit Functions and Optimal Values -- Using Programming Language Theory to Make Automatic Differentiation Sound and Efficient -- A Polynomial-Time Algorithm for Detecting Directed Axial Symmetry in Hessian Computational Graphs -- On the Practical Exploitation of Scarsity -- Design and Implementation of a Context-Sensitive, Flow-Sensitive Activity Analysis Algorithm for Automatic Differentiation -- Efficient Higher-Order Derivatives of the Hypergeometric Function -- The Diamant Approach for an Efficient Automatic Differentiation of the Asymptotic Numerical Method -- Tangent-on-Tangent vs. Tangent-on-Reverse for Second Differentiation of Constrained Functionals -- Parallel Reverse Mode Automatic Differentiation for OpenMP Programs with ADOL-C -- Adjoints for Time-Dependent Optimal Control -- Development and First Applications of TAC++ -- TAPENADE for C -- Coping with a Variable Number of Arguments when Transforming MATLAB Programs -- Code Optimization Techniques in Source Transformations for Interpreted Languages -- Automatic Sensitivity Analysis of DAE-systems Generated from Equation-Based Modeling Languages -- Index Determination in DAEs Using the Library indexdet and the ADOL-C Package for Algorithmic Differentiation -- Automatic Differentiation for GPU-Accelerated 2D/3D Registration -- Robust Aircraft Conceptual Design Using Automatic Differentiation in Matlab -- Toward Modular Multigrid Design Optimisation -- Large Electrical Power Systems Optimization Using Automatic Differentiation -- On the Application of Automatic Differentiation to the Likelihood Function for Dynamic General Equilibrium Models -- Combinatorial Computation with Automatic Differentiation -- Exploiting Sparsity in Jacobian Computation via Coloring and Automatic Differentiation: A Case Study in a Simulated Moving Bed Process -- Structure-Exploiting Automatic Differentiation of Finite Element Discretizations -- Large-Scale Transient Sensitivity Analysis of a Radiation-Damaged Bipolar Junction Transistor via Automatic Differentiation En línea: http://dx.doi.org/10.1007/978-3-540-68942-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34320

Ejemplares

Signatura	Medio	Ubicación	Sub-localización	Sección	Estado
ningún ejemplar

Automatic Differentiation: Applications, Theory, and Implementations / SpringerLink (Online service) ; H. Martin Bücker ; George Corliss ; Uwe Naumann ; Paul Hovland ; Boyana Norris (2006)  

Público ISBD Título : Automatic Differentiation: Applications, Theory, and Implementations Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; H. Martin Bücker ; George Corliss ; Uwe Naumann ; Paul Hovland ; Boyana Norris Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2006 Colección: Lecture Notes in Computational Science and Engineering, ISSN 1439-7358 num. 50 Número de páginas: XVIII, 370 p. 108 illus Il.: online resource ISBN/ISSN/DL: 978-3-540-28438-3 Idioma : Inglés (eng) Palabras clave: Mathematics  Software  engineering  Computer  science  Mathematical  analysis  Analysis  (Mathematics)  mathematics  Electrical  Computational  Science  and  Engineering  Engineering/Programming  Operating  Systems  Numerical  of  Computing Clasificación: 51 Matemáticas Nota de contenido: 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 En línea: http://dx.doi.org/10.1007/3-540-28438-9 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34915 Automatic Differentiation: Applications, Theory, and Implementations [documento electrónico] / SpringerLink (Online service) ; H. Martin Bücker ; George Corliss ; Uwe Naumann ; Paul Hovland ; Boyana Norris . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2006 . - XVIII, 370 p. 108 illus : online resource. - (Lecture Notes in Computational Science and Engineering, ISSN 1439-7358; 50) . ISBN : 978-3-540-28438-3 Idioma : Inglés (eng) Palabras clave: Mathematics  Software  engineering  Computer  science  Mathematical  analysis  Analysis  (Mathematics)  mathematics  Electrical  Computational  Science  and  Engineering  Engineering/Programming  Operating  Systems  Numerical  of  Computing Clasificación: 51 Matemáticas Nota de contenido: 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 En línea: http://dx.doi.org/10.1007/3-540-28438-9 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34915

Ejemplares

Signatura	Medio	Ubicación	Sub-localización	Sección	Estado
ningún ejemplar