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An alternative to mitigate the aforementioned issues is to split the problem into several sub-systems.
Particularly, the system collects information of users and points of interest from minube, groups these points with clustering techniques to split the problem into per-day sub-problems.
The high condition number of the D-dimensional discretized elliptic operator will be exploited to split the problem into a series of well-behaved one and (D − 1 -dimensional elliptic problems.
Using appropriately estimated cross tangent vectors at the given points, we split the problem into a sequence of local Hermite problems, each of which can be one of the following three types: "one-to-one", "one-to-many" or "many-to-many".
We can split the problem of setting TCP's RTO into two parts.
Therefore, researchers have split the problem into many different sub-problems.
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This goal is achieved by splitting the optimization problem in a multi-scale framework.
This method splits the reconstruction problem into a Gauss-Newton step and a TV minimisation step.
This is done by splitting the problem into two main steps.
It has been found that the multiple-sets split feasibility problem and the split feasibility problem can be used to model the intensity-modulated radiation therapy [3 6].
Various algorithms have been invented to solve the multiple-sets split feasibility problem and the split feasibility problem, see, e.g., [7 24] and references therein.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com