Introduction Modern engineering design depends on sensitivity calculations. To obtain these sensitivities, engineers have two choices: use finite differences, or develop a program to compute the analytic derivatives. To avoid programming, engineers have typically chosen to use finite differences. The accuracy of finite difference calculations, however, depends on getting a "good" step size. A "good" step size, however, depends on two competing factors. To approximate the derivative well, the step size should be "small." On the other hand, to avoid critical cancellation, the step size should be "moderate." Finding an appropriate step size to satisfy both criteria can be difficult, especially for compl...
An automatic differentiation techniqueis applied here to anindustrial computational fluid dynamics c...
The effects of sensitivity analysis on the performance of aerodynamic design were evaluated. Sensiti...
Automated multidisciplinary design of aircraft requires the optimization of complex performance obje...
Accurate computation of sensitivity derivatives is becoming an important item in Computational Fluid...
This paper deals with methods for obtaining near-optimum step sizes for finite difference approximat...
Sensitivity capability in CFD code is highly desirable for Design optimization, Error estimation, Pa...
Automated multidisciplinary design of aircraft and other ight vehicles requires the optimization of ...
This paper addresses the concerns of CFD code developers who are facing the task of creating a discr...
Sensitivity derivative (SD) calculation via automatic differentiation (AD) typical of that required ...
The effects of sensitivity derivatives on the performance of aerodynamic design optimization were ev...
The straightforward automatic-differentiation and the hand-differentiated incremental iterative meth...
Sensitivity derivative (SD) calculation via automatic differentiation typical of that required for t...
Sensitivity derivative (SD) calculation via automatic differentiation (AD) typical of that required ...
No specific solutions are offered, nor verified by applications, for its subject problem which is se...
© 1998 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.The effec...
An automatic differentiation techniqueis applied here to anindustrial computational fluid dynamics c...
The effects of sensitivity analysis on the performance of aerodynamic design were evaluated. Sensiti...
Automated multidisciplinary design of aircraft requires the optimization of complex performance obje...
Accurate computation of sensitivity derivatives is becoming an important item in Computational Fluid...
This paper deals with methods for obtaining near-optimum step sizes for finite difference approximat...
Sensitivity capability in CFD code is highly desirable for Design optimization, Error estimation, Pa...
Automated multidisciplinary design of aircraft and other ight vehicles requires the optimization of ...
This paper addresses the concerns of CFD code developers who are facing the task of creating a discr...
Sensitivity derivative (SD) calculation via automatic differentiation (AD) typical of that required ...
The effects of sensitivity derivatives on the performance of aerodynamic design optimization were ev...
The straightforward automatic-differentiation and the hand-differentiated incremental iterative meth...
Sensitivity derivative (SD) calculation via automatic differentiation typical of that required for t...
Sensitivity derivative (SD) calculation via automatic differentiation (AD) typical of that required ...
No specific solutions are offered, nor verified by applications, for its subject problem which is se...
© 1998 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.The effec...
An automatic differentiation techniqueis applied here to anindustrial computational fluid dynamics c...
The effects of sensitivity analysis on the performance of aerodynamic design were evaluated. Sensiti...
Automated multidisciplinary design of aircraft requires the optimization of complex performance obje...