Abstract
In a general combinatorial search problem with binary tests we are given a set of elements and a hypergraph of possible tests, and the goal is to find an unknown target element using a minimum number of tests. We explore the expected test number of randomized strategies. We obtain several general results on the ratio of the expected and worst-case deterministic test number, as well as complexity results for hypergraphs of small rank, and we state some open problems.
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Damaschke, P. (2015). Randomized Adaptive Test Cover. In: Paschos, V., Widmayer, P. (eds) Algorithms and Complexity. CIAC 2015. Lecture Notes in Computer Science(), vol 9079. Springer, Cham. https://doi.org/10.1007/978-3-319-18173-8_13
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DOI: https://doi.org/10.1007/978-3-319-18173-8_13
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