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In the network filtering stage, the algorithm stores a buffered network of size N b, limiting the computational complexity and memory usage of the algorithm.
Most of the test sequences are genomic sequences, so as to represent the typical usage of the algorithm.
This allows for local usage of the algorithm in specific subsections of a genome and therefore simultaneous (parallel) processing of different regions.
Initially, it might appear counter-intuitive that the E-value threshold E0 = E k (A) depends on the algorithm A, but the dependency does reflect actual usage of the algorithm.
For better coverage of the compounds and to assure their flexibility during usage of the algorithm a total of ~50 conformers were computed for every compound of the database.
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The usage of the algorithms presented allows to process large image sets reducing the computational time.
Finally, we compare the performances of executing time and memory usage of the algorithms on the two datasets.
In this study, we illustrated the usage of the algorithms with the data from [1], [2].
In spite of well cancellation of ICI, high wastage of bandwidth dismisses the usage of this algorithm in the practical systems.
The application of the BP algorithm in the operation (10) leads to computational explosion so that the direct usage of the proposed algorithm is infeasible for CDMA system.
The memory usage of both the MS and SLP algorithms increased substantially with increasing network size, but in contrast, the memory usage of the WW algorithm changed little as the size of the microbial networks increased.
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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