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Further optimizations based on sensitivity analyzes of ignition delay were conducted, and an evaluation process of the most sensitive reactions was proposed.
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The stability of the solution is analyzed based on sensitivity coefficients and the correlation matrix.
The influence of various physicochemical parameters of the model was also analyzed based on sensitivity studies using experimental design and derivative methods based on the DASPK 3.0 code.
Furthermore, a discretization method based on sensitivity functions is proposed.
We suggest a new control technique based on sensitivity analysis.
The Laplace transformation methods were used for identifiability analysis of linear models [ 30, 31], but these studies did not consider parameter correlations based on analyzing the output sensitivity matrix.
Finally, sensitivity analyses are performed and the computational results are presented based on the sensitivity analyses in parameter tuning.
Based on a sensitivity methodology the uncertainty for the optimal solution obtained from HGA is analyzed.
proximity and groups based on modal sensitivity.
In the future, you should decide this setting based on the sensitivity of your data.
Tool shape optimization based on "exact" sensitivity results is performed.
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