Optimal Deterministic Group Testing Algorithms to Estimate the Number of Defectives
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We study the problem of estimating the number of defective items d within a pile of n elements up to a multiplicative factor of Δ>1, using deterministic group testing algorithms. We bring lower and upper bounds on the number of tests required in both the adaptive and the non-adaptive deterministic settings given an upper bound D on the defectives number. For the adaptive deterministic settings, our results show that, any algorithm for estimating the defectives number up to a multiplicative factor of Δ must make at least Ω((D/Δ^2)log (n/D) ) tests. This extends the same lower bound achieved in <cit.> for non-adaptive algorithms. Moreover, we give a polynomial time adaptive algorithm that shows that our bound is tight up to a small additive term. For non-adaptive algorithms, an upper bound of O((D/Δ^2) (log (n/D)+logΔ) ) is achieved by means of non-constructive proof. This improves the lower bound O((log D)/(logΔ))Dlog n) from <cit.> and matches the lower bound up to a small additive term. In addition, we study polynomial time constructive algorithms. We use existing polynomial time constructible expander regular bipartite graphs, extractors and condensers to construct two polynomial time algorithms. The first algorithm makes O((D^1+o(1)/Δ^2)·log n) tests, and the second makes (D/Δ^2)· quazipoly (log n) tests. This is the first explicit construction with an almost optimal test complexity.
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