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The closed-forms have a computation complexity O(1).
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The best known algorithm for computing this centrality has a computation complexity (mathcal {O}(n_G.m_G + (n_G ^2mathrm{log}(n_G))) [9].
Each task has a computation time that is dependent on the processor that is chosen to execute the task and on the speed at which that processor is operated.
Therefore the proposed analytical method no longer has a computation time advantage.
Even the top fast algorithm, the louvain approach, has a computation complexity that becomes costly for very large-scale networks that can be composed of millions of nodes as it is frequently the case when considering online social networks today.
ℝ = {R 0, R 1, …, R m } is the set of idle cloud computing resources in the MCIoT environment, and R j, j ∈ [1, m] has a computation capacity (( {mathrm{mathcal{F}}}_{R_j}^R ); CPU cycles per second) and expected price (( {psi}^{R_j} ); price per CPU cycle of the R j ) to accomplish the offloaded computations.
With a computational complexity for detector set generation of O(n3), where n = the initial detector set size, SDM requires significantly more resources than the standard AIS and mAIS without SDM, where detector set generation has a computation complexity of O(n).
The alignment and variant calling algorithm of the original WGS50, CASAVA, had excellent specificity for detection of nucleotide variants (99.5 %), moderate sensitivity (77 86 %), and had a computation time of 14.5 h [ 12].
We compute, rather than as we said earlier, to have a simpler computation unit.
However, the most accurate approaches for describing these systems have a huge computation cost.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com