  We have a large number of samples and we want to find the infected ones using
as few number of tests as possible. We can use group testing which tells about
a small group of people whether at least one of them is infected. Group testing
is particularly efficient if the infection rate is low. The goal of this
article is to summarize and extend the mathematical knowledge about the most
efficient group testing algorithms, focusing on real-life applications instead
of pure mathematical motivations and approaches.
