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Order by: [Title], [Author], [Editor], [Year]
Christian H. Bischof, H. Martin Bücker, Dieter an Mey
A Case Study of Computational Differentiation Applied to Neutron Scattering
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
Application Area:
Chemistry
Tools:
ADIFOR
Theory & Techniques:
Integration of Analytic Derivatives
François Bodin, Antoine Monsifrot
Performance Issues in Automatic Differentiation on Superscalar Processors
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
Theory & Techniques:
Performance
David E. Keyes, Paul D. Hovland, Lois C. McInnes, Widodo Samyono
Using Automatic Differentiation for Second-order Matrix-free Methods in PDE-Constrained Optimization
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
not yet classified
Jorge J. Moré
Automatic Differentiation Tools in Optimization Software
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
not yet classified
Wolfram Klein, Andreas Griewank, Andrea Walther
Differentiation Methods for Industrial Strength Problems
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
Application Area:
Electrical Engineering
Tools:
ADIFOR, ADOL-C, Odyssee
George Corliss, Christèle Faure, Andreas Griewank, Laurent Hascoët, Uwe Naumann
Automatic Differentiation of Algorithms: From Simulation to Optimization
Springer, 2002
Theory & Techniques:
General
Mohamed Tadjouddine, Shaun A. Forth, John D. Pryce
AD Tools and Prospects for Optimal AD in CFD Flux Jacobian Calculations
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
Application Area:
Computational Fluid Dynamics
Tools:
AD01, ADIFOR, TAMC
Jean-Baptiste Caillau, Joseph Noailles
Optimal Control Sensitivity Analysis with AD
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
not yet classified
Ralf Giering, Thomas Kaminski
Recomputations in Reverse Mode AD
Automatic Differentiation: From Simulation to Optimization, Springer, 2002
Application Area:
General
Tools:
TAF, TAMC
Theory & Techniques:
Recomputation
George Corliss, Christèle Faure, Andreas Griewank, Laurent Hascoët, Uwe Naumann
Automatic Differentiation: From Simulation to Optimization
Springer, 2001
Theory & Techniques:
General
Marco Mancini
A Hierarchical Approach in Automatic Differentiation
Automatic Differentiation for Adjoint Code Generation, INRIA, 1998
not yet classified
R. Giering, T. Kaminski
Using TAMC to generate efficient adjoint code: Comparison of automatically generated code for evaluation of first and second order derivatives to hand written code from the Minpack-2 collection
Automatic Differentiation for Adjoint Code Generation, INRIA, 1998
Application Area:
General
Tools:
TAMC
Theory & Techniques:
Hessian, Performance

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