Improved non-adaptive algorithms for threshold group testing with a gap
Improved non-adaptive algorithms for threshold group testing with a gap
The basic goal of threshold group testing is to identify up to $d$ defective items among a population of $n$ items, where $d$ is usually much smaller than $n$. The outcome of a test on a subset of items is positive if the subset has at least $u$ defective items, …