| 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
|
|
|
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
|
|
|
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
|
|
|
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
|
|
|
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
|
|
|
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
|
|
|
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
|
|
|
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
|
|
|
Steve Hague, Uwe Naumann
Present and Future Scientific Computation Environments
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer,
2002 |
Application Area:
General
|
|
|
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
|
