It should be noted that, this scheme guaranties to provide better worst-case data rate.
The decentralized variant of algorithms has a better worst-case performance for the best strategy.
There is no better worst-case bound than the trivial O(n2) for these algorithms, which rely mostly on heuristics.
We show that, in most cases, the decentralized variant of the algorithm has a better worst-case execution time.
The paper shows that, in most cases, the decentralized variant of the algorithm has a better worst-case execution time.
The formulations that minimize or constraint CVaR produce sensor placements with significantly better worst-case behavior and fewer scenarios having high detection times.
The main consequence of this result is that it is unlikely to find inference techniques with a better worst-case behavior than the commonly employed strategy of constructing standard Bayesian networks over ground atoms (knowledge based model construction).
In this paper, we clarify the incompletely presented verification procedure for s-plex and present a new and simpler incremental verification procedure for s-defective cliques with a better worst-case runtime.
The leader-based version has better performance in the best case, while the decentralized version performs better in the worst case.
This indicates that combing multiple datasets may lead to either the best result or a robust result which is better than the worst case.
Therefore, in practice, the complexity of our algorithm is much better than the worst case.
