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This also makes the computations too complex to be handled by the processor.
It allows us to "plug in" existing sequential graph algorithms, and makes the computations parallel across multiple processors, without drastic degradation in performance or functionality of existing systems.
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For example, its computational complexity makes the computation quite tedious and results in that the traditional KDE method can only deal with small-scale and low dimension data set.
In terms of computational complexity, the proposed approach makes the computation of biomarker tractable.
A serious problem of elementary mode (EM) or extreme pathway (Expa) analysis is that the computational time increases exponentially with an increase in network sizes, which makes the computation of the EMs/Expas expensive and infeasible for large-scale networks.
This makes the computation complexity of the ConcentricRings in the order of O(n).
This makes the computation by the conventional shooting method expensive and ineffective.
This procedure makes the computation faster, more stable and more accurate.
Presented numerical approach makes the computation convenient for parallel implementation using OpenMP based parallelisation.
This estimation incurs errors, which makes the computation of the Bayesian threshold be more conservative than the deterministic one.
In contrast, the DCT generates real spectrum of real signals and thereby makes the computation of redundant data unnecessary.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com