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Order by: [Title], [Author], [Editor], [Year]
Isabelle Charpentier, Noël Jakse, Fabrice Veersé
Second Order Exact Derivatives to Perform Optimization on Self-Consistent Integral Equations Problems
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
not yet classified
Jason Abate, Steve Benson, Lisa Grignon, Paul D. Hovland, Lois C. McInnes, Boyana Norris
Integrating AD with Object-Oriented Toolkits for High-performance Scientific Computing
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
Theory & Techniques:
Toolkits
Jean-Baptiste Caillau, Joseph Noailles
Optimal Control Sensitivity Analysis with AD
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
not yet classified
Jean-Baptiste Caillau, Joseph Noailles
Continuous Optimal Control Sensitivity Analysis with AD
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
not yet classified
Jean-Daniel Beley, Stephane Garreau, Frederic Thevenon, Mohamed Masmoudi
Application of Higher Order Derivatives to Parameterization
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
not yet classified
Jens Hoefkens, Martin Berz, Kyoko Makino
Efficient High-Order Methods for ODEs and DAEs
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
not yet classified
Jong G. Kim, Paul D. Hovland
Sensitivity Analysis and Parameter Tuning of a Sea-Ice Model
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
José Grimm
Complexity Analysis of Automatic Differentiation in the Hyperion Software
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
not yet classified
Klaus Röbenack, Kurt J. Reinschke
Nonlinear Observer Design Using Automatic Differentiation
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
Application Area:
Control
Tools:
ADOL-C
Kyoko Makino, Martin Berz
New Applications of Taylor Model Methods
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
not yet classified
Laurent Hascoët, Stefka Fidanova, Christophe Held
Adjoining Independent Computations
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
Application Area:
Computational Fluid Dynamics
Tools:
TAPENADE
Theory & Techniques:
Reverse Mode
Marco Mancini
A Hierarchical Approach in Automatic Differentiation
Automatic Differentiation for Adjoint Code Generation, INRIA, 1998
not yet classified
Marco Mancini
A Parallel Hierarchical Approach for Automatic Differentiation
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
Theory & Techniques:
Hierarchical Approach, Parallelism
Mark J. Huiskes
Automatic Differentiation for Modern Nonlinear Regression
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
Application Area:
Uncertainty Analysis
Tools:
ADOL-C
Mark S. Gockenbach, Daniel R. Reynolds, William W. Symes
Automatic Differentiation and the Adjoint State Method
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
Theory & Techniques:
Adjoint
Martin Berz
Towards a Universal Data Type for Scientific Computing
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
not yet classified
Michael B. Giles
On the Iterative Solution of Adjoint Equations
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
Theory & Techniques:
Adjoint, Fixpoint, Reverse Mode
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
Olaf Vogel
Accurate Gear Tooth Contact Determination and Sensitivity Computation for Hypoid Bevel Gears
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
not yet classified

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