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Results showed the worst case performance of the robust model was approximately 200% better than the non-robust model; thus, they concluded that robust portfolios were more apt to withstand noisy data.
In order to evaluate the worst case performance of the unique VL-CSEVS formed by using the MIT-BIH Arrhythmia Database, the proposed algorithm was also tested on the ECG signals received from the MIT-BIH Compression Test Database which is called the worst case test database by its developers [15].
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We compute a bound on the worst case performance of this heuristic and demonstrate empirically that this procedure produces good quality solutions while substantially reducing computation time for problem instances from the Kiruna mine.
For the remaining regions we derive worst case performances of these cycles.
Previously, robustness has been evaluated based upon performance, particularly the worst case performance, then compared to the worst case performance of a non-robust model such as the expected value-variance model.
The worst case performance of O(N) operations occurs in the PG on pathological networks because Laman subgraphs are never detected.
The worst-case performance of the WSNs was analysed [16].
This is the worst-case performance of the proposed scheme.
The worst-case performance of the proposed heuristic is also investigated.
We also show the worst-case performance of the OU policy with respect to the more flexible ML policy.
First, with the strongest attack (in our framework), we can evaluate the worst-case performance of the proposed scheme.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com