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Order by: [Title], [Author], [Editor], [Year]
Andreas Griewank, Christo Mitev
Verifying Jacobian Sparsity
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
Theory & Techniques:
Sparsity
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
Marco Mancini
A Parallel Hierarchical Approach for Automatic Differentiation
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
Theory & Techniques:
Hierarchical Approach, 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
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
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
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
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
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
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
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
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
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
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
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
Daniele Casanova, Robin S. Sharp, Mark Final, Bruce Christianson, Pat Symonds
Application of Automatic Differentiation to Race Car Performance Optimisation
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
Edgar J. Soulié, Christèle Faure, Théo Berclaz, Michel Geoffroy
Electron Paramagnetic Resonance, Optimization and Automatic Differentiation
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
not yet classified
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
Bernard Cappelaere, David Elizondo, Christèle Faure
Odyssée versus Hand Differentiation of a Terrain Modelling Application
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
not yet classified

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