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This approach reduces the necessary computational time to obtain the gradients and improves significantly their accuracy when compared to gradients obtained using numerical sensitivities.
Furthermore, the calculation of the numerical sensitivities carried out by these methods may become unaffordable when the problem dimension is too high.
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More importantly, a numerical sensitivity study was performed which indicated the surfaces are sensitive to a series of realistic scenarios which would result in meaningful changes in the performance of the structure.
Numerical sensitivity analysis was also performed.
However, they have a tradeoff between length of the filter and numerical sensitivity of adaptation.
There is however some numerical sensitivity connected to computations close to 0/0 operation.
Furthermore an experimental and numerical sensitivity study on test parameters is conducted.
Numerical sensitivity analysis is performed to investigate which physical parameters are dominant when modeling the system.
This paper addresses the issue of the numerical sensitivity of this control scheme.
A numerical sensitivity analysis is performed on the purpose to identify the most significant imperfections.
1D and 2D numerical sensitivity analysis and optimization examples are studied to illustrate the validity of the derived sensitivity.
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