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First, we give some proposition for our example as follows.
For our example, [24 36;12 24] is found in the second iteration.
Each of these questions will be briefly addressed in our next section for our example CAS.
For our example document set, the encrypted index table is shown in Table 3.
For our example, AURA-DC finds the optimized matrix as AURA, i.e., [ 24 36;12424].
Figure 14 displays the result of the detection operation for our example.
For our example, we use portfolio of 5,000 counterparties belonging to ten different sectors.
For our example, the general category is Food, the specific category is Italian restaurant, and the ward is 42. 2.
For our example, the solution of AURA has four operations and three adder-steps, as shown in Fig. 1 d.
For our example scenario it turned out that the setup with 100 tasks performed best, as shown in Fig. 8.
The relation between local and global search node selection seems to be highly unbalanced – at least for our example.
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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