Optimal Randomized Group Testing Algorithm to Determine the Number of Defectives

We study the problem of determining exactly the number of defective items in an adaptive Group testing by using a minimum number of tests. We improve the existing algorithm and prove a lower bound that shows that the number of tests in our algorithm is optimal up to small additive terms.

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Veröffentlicht in:arXiv.org 2020-01
Hauptverfasser: Bshouty, Nader H, Haddad-Zaknoon, Catherine A, Boulos, Raghd, Moalem, Foad, Jalal Nada, Noufi, Elias, Zaknoon, Yara
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Sprache:eng
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Zusammenfassung:We study the problem of determining exactly the number of defective items in an adaptive Group testing by using a minimum number of tests. We improve the existing algorithm and prove a lower bound that shows that the number of tests in our algorithm is optimal up to small additive terms.
ISSN:2331-8422