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Notice that the objective value is decreasing towards the maximum objective.
Thus, we conclude that the maximum objective function refers to the minimum number of channel uses.
The parameters which produced the maximum objective during the optimizations is given in Table 2.
This may cause that the total power is underutilized and the maximum objective value is not achieved.
The maximum objective value of problem (7), R(τ ms ), is obtained only when the equality in (7a) holds.
We employ these methods frame-by-frame to each test video and compute the mean and the maximum objective measurements of every frame.
Similar(35)
It is noted that the problem in (20) is infeasible if the obtained maximum objective function value in (24) is smaller than R min. The problem in (24) belongs to integer programming and thus is hard to be solved.
It is noted that the problem in (35) is infeasible if the obtained maximum objective function value in (39) is smaller than R min. The problem in (39) is solved in a heuristic way.
At the same time, the maximum allowable transmit power (P_{max }^{UL}) can also be determined by the obtained maximum objective value of problem P1.
This result was based on the increased agreement of 9/13 for the 'very soft' ratings with minimum hardness objective values compared to 7/13 for the same category with the average or maximum objective values.
Method 4 is the best alternative because, for large parts of the datasets, produced the best average and maximum objective function values and had lower time consumption than Methods 2 and 3.
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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