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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
Abhishek Kr. Gupta, Shaun A. Forth
An AD-Enabled Optimization ToolBox in LabVIEW™
Recent Advances in Algorithmic Differentiation, Springer, 2012
not yet classified
Marina Menshikova, Shaun A. Forth
Automatic differentiation of quadrature
Article in Optimization Methods and Software, 2012
Theory & Techniques:
Hierarchical Approach
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
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
An Efficient Overloaded Implementation of Forward Mode Automatic Differentiation in MATLAB
Article in ACM Transactions on Mathematical Software, 2006
Tools:
TOMLAB /MAD
Rahul V. Kharche, Shaun A. Forth
Source Transformation for MATLAB Automatic Differentiation
Conference proceeding, Computational Science -- ICCS 2006, Springer, 2006
Tools:
TOMLAB /MAD, MSAD
L. F. Shampine, Robert Ketzscher, Shaun A. Forth
Using AD to Solve BVPs in Matlab
Article in ACM Transactions on Mathematical Software, 2005
Tools:
TOMLAB /MAD, MAD
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
Mohamed Tadjouddine, Frances Bodman, John D. Pryce, Shaun A. Forth
Improving the Performance of the Vertex Elimination Algorithm for Derivative Calculation
Automatic Differentiation: Applications, Theory, and Implementations, Springer, 2005
Tools:
EliAD
Theory & Techniques:
X-Country
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
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
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
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
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, 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
Shaun A. Forth
Automatic Differentiation for Flux Linearisation
Cranfield University (RMCS Shrivenham), 1998
Application Area:
Computational Fluid Dynamics
Tools:
hand-coded overloaded Fortran 90
Theory & Techniques:
Hierarchical Approach

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