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A non-adaptive search algorithm that identifies up to three defects
We give a simple and constructable non-adaptive search algorithm that identifies a defective subset of cardinality at most three in a sample of cardinality n when the testing procedure can detect the presence of an odd number of defects in any subset of the sample. Our algorithm uses at most ⌈ log 2...
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Published in: | Journal of statistical planning and inference 1997-05, Vol.60 (2), p.269-272 |
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Main Author: | |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | We give a simple and constructable non-adaptive search algorithm that identifies a defective subset of cardinality at most three in a sample of cardinality
n when the testing procedure can detect the presence of an odd number of defects in any subset of the sample. Our algorithm uses at most
⌈
log
2(n + 1) ⌉ + (
⌈
log
2(n + 1) ⌉
2
)
many tests. |
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ISSN: | 0378-3758 1873-1171 |
DOI: | 10.1016/S0378-3758(96)00144-9 |