This final report will document the accomplishments of the work of this project. 1) The incremental-iterative (II) form of the reverse-mode (adjoint) method for computing first-order (FO) aerodynamic sensitivity derivatives (SDs) has been successfully implemented and tested in a 2D CFD code (called ANSERS) using the reverse-mode capability of ADIFOR 3.0. These preceding results compared very well with similar SDS computed via a black-box (BB) application of the reverse-mode capability of ADIFOR 3.0, and also with similar SDs calculated via the method of finite differences. 2) Second-order (SO) SDs have been implemented in the 2D ASNWERS code using the very efficient strategy that was originally proposed (but not previously tested) of Refere...
The aim of the present work is the development of a code for two-dimensional aerodynamic optimisatio...
A study was performed to evaluate the effects of different flow solvers, optimization methods, and d...
The effects of sensitivity derivatives on the performance of aerodynamic design optimization were ev...
An efficient incremental-iterative approach for differentiating advanced flow codes is successfully ...
Accurate computation of sensitivity derivatives is becoming an important item in Computational Fluid...
Aerodynamic sensitivity analysis codes are developed via the hand-differentiation using a direct dif...
The straightforward automatic-differentiation and the hand-differentiated incremental iterative meth...
In this preliminary study involving advanced CFD codes, an incremental for-mulation, also known as t...
Sensitivity analysis is a technique for determining derivatives of system responses with respect to ...
Accuracy of the finite difference sensitivity calculations are improved by calculating the optimum f...
Sensitivity derivative (SD) calculation via automatic differentiation typical of that required for t...
Automated multidisciplinary design of aircraft and other ight vehicles requires the optimization of ...
Automatic differentiation (AD) is a powerful computational method that provides for computing exact ...
Sensitivity derivative (SD) calculation via automatic differentiation (AD) typical of that required ...
Sensitivity derivative (SD) calculation via automatic differentiation (AD) typical of that required ...
The aim of the present work is the development of a code for two-dimensional aerodynamic optimisatio...
A study was performed to evaluate the effects of different flow solvers, optimization methods, and d...
The effects of sensitivity derivatives on the performance of aerodynamic design optimization were ev...
An efficient incremental-iterative approach for differentiating advanced flow codes is successfully ...
Accurate computation of sensitivity derivatives is becoming an important item in Computational Fluid...
Aerodynamic sensitivity analysis codes are developed via the hand-differentiation using a direct dif...
The straightforward automatic-differentiation and the hand-differentiated incremental iterative meth...
In this preliminary study involving advanced CFD codes, an incremental for-mulation, also known as t...
Sensitivity analysis is a technique for determining derivatives of system responses with respect to ...
Accuracy of the finite difference sensitivity calculations are improved by calculating the optimum f...
Sensitivity derivative (SD) calculation via automatic differentiation typical of that required for t...
Automated multidisciplinary design of aircraft and other ight vehicles requires the optimization of ...
Automatic differentiation (AD) is a powerful computational method that provides for computing exact ...
Sensitivity derivative (SD) calculation via automatic differentiation (AD) typical of that required ...
Sensitivity derivative (SD) calculation via automatic differentiation (AD) typical of that required ...
The aim of the present work is the development of a code for two-dimensional aerodynamic optimisatio...
A study was performed to evaluate the effects of different flow solvers, optimization methods, and d...
The effects of sensitivity derivatives on the performance of aerodynamic design optimization were ev...