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: ADOLC


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 CellVertex 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 ObjectOriented Toolkits for Highperformance 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: ADOLC


Isabelle Charpentier, Noël Jakse, Fabrice Veersé
Second Order Exact Derivatives to Perform Optimization on SelfConsistent Integral Equations Problems
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer,
2002 
not yet classified


Adel BenHajYedder, 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 MPI1 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
