|
|
[1-10]
| Order by:
[Title],
[Author],
[Editor],
[Year] |
|---|
|
Mohamed Tadjouddine, Shaun A. Forth, John D. Pryce, John K. Reid
Performance Issues for Vertex Elimination Methods in Computing Jacobians using Automatic Differentiation
Conference proceeding,
Computational Science -- ICCS 2002, Proceedings of the International Conference on Computational Science, Amsterdam, The Netherlands, April 21--24, 2002. Part II, Springer,
2002 |
Tools:
EliAD
Theory & Techniques:
Code Optimization, Data Flow Analysis, X-Country
|
|
|
Mohamed Tadjouddine, Shaun A. Forth, John D. Pryce
AD Tools and Prospects for Optimal AD in CFD Flux Jacobian Calculations
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer,
2002 |
Application Area:
Computational Fluid Dynamics
Tools:
AD01, ADIFOR, TAMC
|
|
|
Mohamed Tadjouddine, Shaun A. Forth, John D. Pryce
Hierarchical Automatic Differentiation by Vertex Elimination and Source Transformation
Conference proceeding,
Computational Science and Its Applications -- ICCSA 2003, Proceedings of the International Conference on Computational Science and its Applications, Montreal, Canada, May 18--21, 2003. Part II, Springer,
2003 |
Application Area:
Computational Fluid Dynamics
Tools:
EliAD
Theory & Techniques:
Hierarchical Approach
|
|
|
Mohamed Tadjouddine, Shaun A. Forth, Andy J. Keane
Adjoint Differentiation of a Structural Dynamics Solver
Automatic Differentiation: Applications, Theory, and Implementations, Springer,
2005 |
Application Area:
Structural Dynamics
Tools:
ADIFOR
|
|
|
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
|
|
|
Shaun A. Forth, R. Ketzscher
High-level Interfaces for the MAD (MATLAB Automatic Differentiation) Package
Conference proceeding,
ECCOMAS 2004: Fourth European Congress on Computational Methods in Applied Sciences and Engineering, European Community on Computational Methods in Applied Sciences,
2004 |
Application Area:
Optimization, Ordinary Differential Equations
Tools:
TOMLAB /MAD
Theory & Techniques:
Toolkits
|
|
|
Shaun A. Forth, Mohamed Tadjouddine, John D. Pryce, John K. Reid
Jacobian Code Generated by Source Transformation and Vertex Elimination can be as Efficient as Hand-Coding
Article in
ACM Transactions on Mathematical Software, 2004 |
Theory & Techniques:
Code Optimization, Data Flow Analysis, X-Country
|
|
|
Mattia Padulo, Shaun A. Forth, Marin D. Guenov
Robust Aircraft Conceptual Design Using Automatic Differentiation in Matlab
Advances in Automatic Differentiation, Springer,
2008 |
Application Area:
Computational Fluid Dynamics
Tools:
TOMLAB /MAD
|
|
|
Shaun A. Forth, Naveen Kr. Sharma
A sparse matrix approach to reverse mode automatic differentiation in Matlab
Article in
Procedia Computer Science, 2010 |
Tools:
MAD, TOMLAB /MAD
Theory & Techniques:
Reverse Mode, Sparsity
|
|
|
Bruce Christianson, Shaun A. Forth, Andreas Griewank
Preface
Article in
Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis,
2018 |
Theory & Techniques:
General
|
[1-10]
back
|
|
