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The size of the algorithm (also defined below) is the complexity of the message.
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This problem is NP-hard [ 33], and thus it is unlikely that there exists an efficient (polynomial-time in the size of the model) algorithm to obtain a globally optimal solution.
We also design a polynomial time (with respect to the size of the net structure) algorithm to check whether a SPN is a SΠ2-net.
The size of the neighborhood affects the algorithm in two ways.
However, as the size of the permutations increases, the algorithm SWA outperforms the others with respect to the number of enumerated traces.
To increase the size of the networks, efficient algorithms and coding methods are needed.
The number of generated rules varies depending on several factors: the size of the dataset, features, algorithms etc.
Regarding the size of the analysis window of the algorithm (L m =10), it was determined empirically.
The sizes of these point clouds are smaller than the size of the previous one and the algorithm also works well.
We show that if we only know the size of the largest job, no algorithm with a bounded competitive ratio exists.
The WW algorithm is an extension of the MS algorithm, and it can reduce the size of the sub-network supplied to the SLP algorithm far beyond that of the MS algorithm.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com