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Existing studies on network robustness usually exploit a single network metric to generate attack strategies, which simulate intentional attacks on a network, and compute a metric-induced robustness estimation, called R. While some metrics are easy to compute, e.g. degree, others require considerable computation efforts, e.g. betweenness centrality.
However, they need large computation efforts.
However, because of the high computation efforts they are not applicable in practice.
The results show that the formulation presented in this paper can well predict dynamic behaviors of both bridge and train with reasonable computation efforts.
Alán Aspuru-Guzik, an associate professor of chemistry and chemical biology at Harvard, led the research group there and directed the theory and computation efforts.
A rule-based, multi-mode switch strategy is then proposed as a power management strategy for RE EV, which can require lower computation efforts.
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This dramatically reduces the computation effort.
Neural regression provides a rapid solution to modeling complex systems with minimal computation effort.
Somewhat better results may be obtained by using the latter method with considerably larger computation effort.
Since the system has to fully process only around 600 images, the computation effort is reduced by 75percentt, and the search can be done in seconds.
Parts of the framework offer tools for optimization with the computation effort independent of the size of the study area.
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