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ON OPTIMAL NESTED GROUP-TESTING ALGORITHMS
被引:9
|作者:
YAO, YC
HWANG, FK
机构:
[1] COLORADO STATE UNIV, DEPT STAT, FT COLLINS, CO 80523 USA
[2] AT&T BELL LABS, MURRAY HILL, NJ 07974 USA
关键词:
alphabetic tree;
Individual testing;
pairwise testing;
D O I:
10.1016/0378-3758(90)90039-W
中图分类号:
O21 [概率论与数理统计];
C8 [统计学];
学科分类号:
020208 ;
070103 ;
0714 ;
摘要:
Group testing was first proposed for blood testing although it has many industrial applications as well. Most of the group testing literature has studied a naturally defined class of algorithms called nested algorithms. Optimal nested algorithms are usually defined by recursive equations which do not seem to have general closed-form solutions, and so are not in general well understood. One exception is a result that gives a necessary and sufficient condition for the individual testing algorithm to be optimal. The next simplest algorithm is the pairwise testing algorithm which tests a pair of items at a time except when a pair known to contain a defective is found, then a single item from that pair is tested. In this paper we present an explicit algorithm for optimally finding a single defective in a contaminated set and use this to derive a necessary and sufficient condition for the pairwise testing algorithm to be the optimal nested algorithm. © 1990.
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页码:167 / 175
页数:9
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