Advances in Automatic Differentiation
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. Computa...
Αποθηκεύτηκε σε:
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , , , , |
| Μορφή: | Livre numérique |
| Γλώσσα: | Anglais |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Έκδοση: | 1st ed. 2008. |
| Σειρά: | Lecture Notes in Computational Science and Engineering
64 |
| Θέματα: | |
| Διαθέσιμο Online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Σημείωση: |
Proceedings from the fifth International Conference on Automatic Differentiation held from August 11 to 15, 2008 in Bonn, Germany L'impression du document génère 365 p. Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Advances in Automatic Differentiation, Texte imprimé, 9783540864653 • Advances in automatic differentiation, [International Conference on Automatic Differentiation], 2008, Berlin, Springer, 1 vol. (XVIII-362 p.), Lecture notes in computational science and engineering, 978-3-540-68935-5 |
Πίνακας περιεχομένων:
- 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