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A statistical analysis of the optimization results is presented.
Better simulation requires analysis of the optimization of the eigenvalue and the filter circuit evolution.
We now aim at expressing P ̄ e in a simpler form to ease the analysis of the optimization problems.
The shape and topological sensitivities are computed based on the adjoint and asymptotic analysis of the optimization problem.
Searching for these weights is in fact the idea behind the projected gradient heuristic indicated in Section 'Analysis of the optimization problems in (16) and (17)'.
This implementation is based on a careful analysis of the optimization process, showing that the involved operators can be designed especially for this problem.
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Experimental results of a sensitivity analysis on the optimization models are presented and evaluated.
In this case, the evaluation includes the analysis of the optimizations and tradeoffs for the whole products in the family.
This work reveals the value of microscopic analysis for the optimization of laser processes for metallization.
Besides this practical experiment (non-statistical), a statistical analysis for the optimization of transesterification procedure was performed using the Taguchi method (Ross 1989; Buasri et al. 2009).
4. Sensitivity Analysis: Each of the optimization scenarios identified a different point in parameter space that offered the "best fit" to the historic data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com