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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao zbMATH Openarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Article
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SIAM Journal on Discrete Mathematics
Article . 1988 . Peer-reviewed
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DBLP
Article . 2020
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Searching for Two Objects by Underweight Feedback

Searching for two objects by underweight feedback
Authors: Ker-I Ko;

Searching for Two Objects by Underweight Feedback

Abstract

Summary: A group testing problem with two irregular coins and with a test device that detects only an underweight coin is considered. The maximum number of tests required to identify two irregulars, one overweight and one underweight, is known to have a lower bound of 2 log n. We present a procedure that gives an upper bound of 2 log n\(+O(\log n \sqrt{\log n})\).

Keywords

searching, Analysis of algorithms and problem complexity, underweight feedback, upper bound, Searching and sorting, group testing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Average
Top 10%
Average
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