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The domain decomposition method splits a large three-dimensional region into slices that can be processed in parallel on multi-processor computation environments with only minimal communication between the computation nodes.
As we described above, the edge-cut method splits a graph into sets of sub-graphs by cutting edges.
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On the other hand a low r can have the opposite effect, whereby the methods splits a strain into two or more strains, by moving a few reads from one strain to a very similar one with which they have equally good matches.
These methods split a biomacromolecular structure into slices along a start vector defined by the user and then optimization methods are used to determine the largest sphere.
This method splits the reconstruction problem into a Gauss-Newton step and a TV minimisation step.
Based on boundary integral equations, our method splits the inverse problem into a well-posed direct problem followed by a smaller ill-posed problem which has advantages both in understanding the inverse problem and in the numerical reconstructions.
The FAS method splits the scattering events into two regions.
The method splits the periodized sum into two parts.
Therefore, the proposed method splits the packet to obtain the space and coding gains.
This method splits the time series into three parts: long-term trend, season(s) and residual noise.
Divide-and-conquer is a recursive technique, meaning that it uses some method to split a problem in half, then uses the same method to split those halves in half, and so on.
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