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A decentralized controller design approach, based on overlapping decompositions, is described for such systems.
For two-dimensional, mono-energetic, linear particle beam problems, we describe an iterative domain decomposition algorithm based on overlapping decompositions of the set of particle directions and computationally demonstrate its rapid, grid independent convergence.
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This method is then parallelized based on overlapping domain decomposition, enabling excellent scalability on distributed systems.
The relationship is based on overlapping interests, especially oil, not on shared values.
To avoid counts based on overlapping binding motifs, overlapping pairs were not considered.
In the second step, overlapping groups are merged based on overlap scores.
This work proposes a new point selection method, based on an overlapping surface decomposition of the boundary, which is implicitly defined by a level set function.
Finally, we discuss use of overlapping decompositions on data-communication networks for robust flow controller design.
Finally, overlapping decompositions of distributed-time-delay systems is illustrated.
Overlapping decompositions and expansions of such systems are then discussed.
Among them, the ones based on thermal decomposition are preferred.
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