Publication Database
Introduction
Applications
Tools
Research Groups
Workshops
Publications
   List Publications
   Advanced Search
   Info
   Add Publications
My Account
About


Order by: [Title], [Author], [Editor], [Year]
François Bodin, Antoine Monsifrot
Performance Issues in Automatic Differentiation on Superscalar Processors
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
Theory & Techniques:
Performance
Steve Hague, Uwe Naumann
Present and Future Scientific Computation Environments
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
Application Area:
General
Ralf Giering, Thomas Kaminski
Recomputations in Reverse Mode AD
Automatic Differentiation: From Simulation to Optimization, Springer, 2002
Application Area:
General
Tools:
TAF, TAMC
Theory & Techniques:
Recomputation
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
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
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
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
R. Baker Kearfott, Alvard Arazyan
Taylor Series Models in Deterministic Global Optimization
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
not yet classified
Martin Berz
Towards a Universal Data Type for Scientific Computing
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
not yet classified
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
R. Giering, T. Kaminski
Using TAMC to generate efficient adjoint code: Comparison of automatically generated code for evaluation of first and second order derivatives to hand written code from the Minpack-2 collection
Automatic Differentiation for Adjoint Code Generation, INRIA, 1998
Application Area:
General
Tools:
TAMC
Theory & Techniques:
Hessian, Performance
Andreas Griewank, Christo Mitev
Verifying Jacobian Sparsity
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
Theory & Techniques:
Sparsity

back
  

Contact:
autodiff.org
Username:
Password:
(lost password)