On the Optimal Pairwise Group Testing Algorithm
Originally suggested for the blood testing problem by Dorfman in 1943, an idea of Group Testing (GT) has found many applications in other fields as well. Among many (binomial) GT procedures introduced since then, in 1990, Yao and Hwang proposed the Pairwise Testing Algorithm (PTA) and demonstrated t...
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Main Authors | , |
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Format | Journal Article |
Language | English |
Published |
21.07.2022
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Subjects | |
Online Access | Get full text |
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Summary: | Originally suggested for the blood testing problem by Dorfman in 1943, an
idea of Group Testing (GT) has found many applications in other fields as well.
Among many (binomial) GT procedures introduced since then, in 1990, Yao and
Hwang proposed the Pairwise Testing Algorithm (PTA) and demonstrated that PTA
is the \emph{unique} optimal nested GT procedure provided the probability of
contamination lies in $\left[1-\frac{\sqrt{2}}{2},\frac{3-\sqrt{5}}{2}\right]$.
Despite the fundamental nature of the result, PTA did not receive
considerable attention in the literature. In particular, even its basic
probabilistic properties remained unexplored. In this paper, we fill the gap by
providing an exhaustive characterization of probabilistic PTA properties. |
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DOI: | 10.48550/arxiv.2207.10331 |