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Numerical experiments are presented to show the practicability of the algorithm.
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In this part, a set of experiments based on practical measured data are demonstrated to verify the practicability of the proposed algorithm.
Finally, it is applied to a real database that provides information about Bluetooth-based connectivity and motion of people in an office scenario, rendering satisfactory results and hence, validating the practicability of the proposed algorithm as a framework to obtain localization traces.
Furthermore, the robustness and the practicability of the proposed algorithms are extended.
To demonstrate the practicability of the proposed solution algorithms and the optimal pricing and penalty/compensation schemes, large-scale numerical examples are presented based on a realistic taxi network of Beijing.
A computational analysis on randomly generated test instances validates the proposed algorithm and the computations on real data concerning Saccharomyces cerevisiae show the practicability of the proposed methodology.
They determine the practicability of the system.
These regulations ensure the practicability of the soft reconfiguration scheme.
The feasibility and the practicability of the model are confirmed.
We demonstrate the practicability of the interfaces by showing exemplary evaluation results in this chapter.
Two examples are given to demonstrate the practicability of the main results.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com