|
|
[1-6]
| Order by:
[Title],
[Author],
[Editor],
[Year] |
|---|
|
Michael B. Giles
On the Use of Runge-Kutta Time-Marching and Multigrid for the Solution of Steady Adjoint Equations
Oxford University Computing Laboratory, 2000 |
Theory & Techniques:
Adjoint, Fixpoint
|
|
Michael B. Giles, Niles A. Pierce
An Introduction to the Adjoint Approach to Design
Article in
Flow, Turbulence and Combustion, 2000 |
Application Area:
Computational Fluid Dynamics
Theory & Techniques:
Adjoint
|
|
|
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
|
|
|
D. Ghate, M. B. Giles
Inexpensive Monte Carlo uncertainty analysis
Recent Trends in Aerospace Design and Optimization, Tata McGraw-Hill, New Delhi,
2006 |
Application Area:
Computational Fluid Dynamics
Tools:
TAPENADE
Theory & Techniques:
Adjoint, Uncertainties
|
|
|
M. B. Giles, D. Ghate, M. C. Duta
Using automatic differentiation for adjoint CFD code development
Recent Trends in Aerospace Design and Optimization, Tata McGraw-Hill, New Delhi,
2006 |
Application Area:
Computational Fluid Dynamics
Tools:
TAPENADE
Theory & Techniques:
Fixpoint
|
|
|
Mike B. Giles
Collected Matrix Derivative Results for Forward and Reverse Mode Algorithmic Differentiation
Advances in Automatic Differentiation, Springer,
2008 |
Theory & Techniques:
Hierarchical Approach
|
[1-6]
back
|
|
