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The results in Table 3 show that all instances of the set-covering model are again optimally solved in less then 1 min, counting the time for generating all the columns, for both policies; the new policy is in general slightly more costly than the old one (as it could be expected) to solve, and it does not improve significantly on the current one.
We evaluated computational time for generating a map.
Table 3 shows the computational time for generating a map.
Table 3 Average CPU time for generating recoverable privacy-protected image per frame (sec/frame).
Multiple dimensions of solution are perturbed each time for generating new candidate food sources.
Therefore, the gain in computational time for generating the ontologies will be certainly greater than the loss in its quality.
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The book was called "about as agreeable as a dose of ipecac," in a review in The New York Times, for generating "a sense of astonishment that human intelligence could have permitted us to reach this predicament".
Experimental results show that BSPRIM outperforms SPRIM in terms of accuracy with more partitions and outperforms PRIMA with less CPU times for generating the same accurate models.
Table 1 summarizes the comparison size and run times for generating the upper-triangular comparison matrixes we processed with neighbor.
The times for generating the 75 nt and 120 nt structural database were 534 s and 510 s, respectively.
At 100 markers, the average CPU times for generating 1000 samples were 54, 23, and 2 sec for no, partial, and complete pooling.
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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