## Abstract

Classical group testing is a search paradigm where the goal is the identification of individual positive elements in a large collection of elements by asking queries of the form "Does a set of elements contain a positive one?". A graph reconstruction problem that generalizes the classical group testing problem is to reconstruct a hidden graph from a given family of graphs by asking queries of the form "Whether a set of vertices induces an edge". Reconstruction problems on families of Hamiltonian cycles, matchings, stars and cliques on n vertices have been studied where algorithms of using at most 2nlg∈n,(1+o(1))(nlg∈n),2n and 2n queries were proposed, respectively. In this paper we improve them to $(1+o(1))(n\lg n),(1+o(1))(\frac{n\lg n}{2}),n+2\lg n$ and n+lg∈n, respectively. Threshold group testing is another generalization of group testing which is to identify the individual positive elements in a collection of elements under a more general setting, in which there are two fixed thresholds and u, with <u, and the response to a query is positive if the tested subset of elements contains at least u positive elements, negative if it contains at most positive elements, and it is arbitrarily given otherwise. For the threshold group testing problem with =u-1, we show that p positive elements among n given elements can be determined by using O(plg∈n) queries, with a matching lower bound.

Original language | English |
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Pages (from-to) | 270-281 |

Number of pages | 12 |

Journal | Journal of Combinatorial Optimization |

Volume | 22 |

Issue number | 2 |

DOIs | |

State | Published - 1 Aug 2011 |

## Keywords

- Adaptive algorithms
- Graph search
- Pooling design
- Threshold group testing