The following problem is known as group testing problem for n objects. Each
object can be essential (defective) or non-essential (intact). The problem
is to determine the set of essential objects by asking queries adaptively.
A query can be identified with a set Q of objects and the query Q is answe
red by 1 if Q contains at least one essential object and by 0 otherwise. In
the statistical setting the objects an essential, independently of each ot
her, with a given probability p < 1 while in the combinatorial setting the
number k < n of essential objects is known. The cut-off point of statistica
l group testing is equal to p* = 1/2(3 - root 5), i.e., the strategy of tes
ting each object individually minimizes the average number of queries iff p
greater than or equal to p* or n = 1. In the combinatorial setting the wor
st case number of queries is of interest. It has been conjectured that the
cut-off point of combinatorial group testing is equal to alpha* = 1/3, i.e.
, the strategy of testing n - 1 objects individually minimizes the worst ca
se number of queries iff k/n greater than or equal to alpha* and k < n. Som
e results in favor of this conjecture are proved. (C) 1999 Elsevier Science
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