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Moreover, results not only show the efficiency of our solution, but also give insights about how to design and customize these systems.
Then the designed prototype and the first experiments are presented demonstrating the novelty and the efficiency of our solution.
Computational results are presented which test the predictions of our asymptotic analysis and demonstrate the efficiency of our solution technique.
This analysis and this comparison between two average transition costs help us to determine the economic efficiency of our solution of designing and programming of FMS.
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A detailed evaluation of the efficiency and security of our solution shows that privacy can be achieved with minimal computational and communication overhead.
Urban Swarms not only aims to show the efficiency of our proposed solution, but also to give insights about how to design and customize these systems.
Still, there is not a rapid degradation in overall system performance, showing the efficiency of our proposed solution.
The biggest technical drawback of our solution is computational efficiency.
We have conducted extensive experiments to test the effectiveness and efficiency of our proposed solutions in finding k-plex community.
In order to test the accuracy and efficiency of our method, the solutions of the examples presented are introduced in the form of tables to make a comparison with those obtained by other methods and with the exact solutions easy.
The theoretical analysis and simulation results also confirm the efficiency of our PAMT and FAMT solutions.
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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