Adaptive Group Testing Algorithm

An algorithm is described for group testing under the conditions when, in a specified set of cardinality $$n$$ , there is an unknown amount of $$d > 0$$ of defective elements and it is necessary to identify them with a sequence of tests. Each next test can take into account the results of the previous ones. The upper estimate for the number of tests in our algorithm improves the known value. The algorithm runtime is the minimum possible: it is of the order of the number of tests.

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Publication Details

Journal
Journal of Communications Technology and Electronics
Published
2025-03-01
DOI
https://doi.org/10.1134/s1064226925700238
Primary Topic
SARS-CoV-2 detection and testing
Type
article
Field-Weighted Citation Impact
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article

Adaptive Group Testing Algorithm

K. Yu. Gorbunov
Journal of Communications Technology and Electronics
SARS-CoV-2 detection and testing
article

Adaptive Group Testing Algorithm

K. Yu. Gorbunov
article en

Abstract

An algorithm is described for group testing under the conditions when, in a specified set of cardinality $$n$$ , there is an unknown amount of $$d > 0$$ of defective elements and it is necessary to identify them with a sequence of tests. Each next test can take into account the results of the previous ones. The upper estimate for the number of tests in our algorithm improves the known value. The algorithm runtime is the minimum possible: it is of the order of the number of tests.

Journal of Communications Technology and ElectronicsVol. 70(3)
Institute for Information Transmission Problems (RU)
Openalex Percentile: Top 71%
SARS-CoV-2 detection and testing
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Adaptive Group Testing Algorithm — K. Yu. Gorbunov · Journal of Communications Technology and Electronics (2025) | TGRS Research Map | TGRS