Conjectures on optimal nested generalized group testing algorithm
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Malinovsky, Yaakov. “Conjectures on Optimal Nested Generalized Group Testing Algorithm.” Applied Stochastic Models in Business and Industry 36, no. 6 (22 July 2020): 1029–36. https://doi.org/10.1002/asmb.2555.
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This is the pre-peer reviewed version of the following article: Malinovsky, Yaakov. “Conjectures on Optimal Nested Generalized Group Testing Algorithm.” Applied Stochastic Models in Business and Industry 36, no. 6 (22 July 2020): 1029–36. https://doi.org/10.1002/asmb.2555., which has been published in final form at https://doi.org/10.1002/asmb.2555. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.
Abstract
Consider a finite population of N items, where item i has a probability pi to be defective. The goal is to identify all items by means of group testing. This is the generalized group testing problem (hereafter GGTP). In the case of p1 = … = pN = p, Yao and Hwang (1990) proved that the pairwise testing algorithm is the optimal nested algorithm, with respect to the expected number of tests, for all N if and only if p∈ [1−1/2,(3−5)/2] (R-range hereafter) (an optimal at the boundary values). In this note, we present a result that helps to define the generalized pairwise testing algorithm (hereafter GPTA) for the GGTP. We present two conjectures: (a) when all pi,i = 1,…,N belong to the R-range, GPTA is the optimal procedure among nested procedures applied to pi of nondecreasing order; and (b) if all pi,i = 1,…,N belong to the R-range, GPTA is the optimal nested procedure, that is, minimizes the expected total number of tests with respect to all possible testing orders in the class of nested procedures. Although these conjectures are logically reasonable, we were only able to empirically verify the first one up to a particular level of N. We also provide a short survey of GGTP.
