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The development of the chronometer (an accurate timepiece) made the computation of longitude much less laborious than before; much more information on islands and coastal features came to the map and chart makers.
In this work, we upgraded the electrostatic interaction method of CU-ENUF (Yang, et al., 2016) which first applied CUNFFT (nonequispaced Fourier transforms based on CUDA) to the reciprocal-space electrostatic computation and made the computation of electrostatic interaction done thoroughly in GPU.
These confidence intervals could not be computed for the MLE because the convergence problems experienced by the maximization algorithm made the computation of q infeasible.
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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.
Distributed computing is required to make the computation practically feasible.
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.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com