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Order by: [Title], [Author], [Editor], [Year]
Florian Dignath, Peter Eberhard, Axel Fritz
Analytical Aspects and Practical Pitfalls in Technical Applications of AD
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
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
Shaun A. Forth, Trevor P. Evans
Aerofoil Optimisation via AD of a Multigrid Cell-Vertex Euler Flow Solver
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
Application Area:
Computational Fluid Dynamics
Tools:
ADIFOR
Theory & Techniques:
Iteration
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
Engelbert Tijskens, Herman Ramon, Josse De Baerdemaeker
Efficient Operator Overloading AD for Solving Nonlinear PDEs
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
Gundolf Haase, Ulrich Langer, Ewald Lindner, Wolfram Mühlhuber
Optimal Sizing of Industrial Structural Mechanics Problems Using AD
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
Application Area:
Computational Fluid Dynamics
Tools:
ADOL-C
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
Adel Ben-Haj-Yedder, Eric Cances, Claude Le Bris
Optimal Laser Control of Chemical Reactions Using AD
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
not yet classified
Alan Carle, Mike Fagan
Automatically Differentiating MPI-1 Datatypes: The Complete Story
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
Tools:
ADIFOR
Theory & Techniques:
Parallelism
Steven L. Lee, Paul D. Hovland
Sensitivity Analysis Using Parallel ODE Solvers and Automatic Differentiation in C: SensPVODE and ADIC
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
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
Shahadat Hossain, Trond Steihaug
Reducing the Number of AD Passes for Computing a Sparse Jacobian Matrix
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
Theory & Techniques:
Sparsity
Andreas Griewank, Christo Mitev
Verifying Jacobian Sparsity
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
Theory & Techniques:
Sparsity
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
José Grimm
Complexity Analysis of Automatic Differentiation in the Hyperion Software
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
not yet classified
Pierre Aubert, Nicolas Di Césaré
Expression Templates and Forward Mode Automatic Differentiation
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
Tools:
FAD
Theory & Techniques:
Implementation Strategies
Harley Flanders
Application of AD to a Family of Periodic Functions
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
not yet classified
Yuri G. Evtushenko, E. S. Zasuhina, V. I. Zubov
FAD Method to Compute Second Order Derivatives
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
Theory & Techniques:
Hessian

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