On the Tree Search Problem with Non-uniform Costs

Cicalese, F. and Keszegh, Balázs and Lidicky, Bernard and Pálvölgyi, Dömötör and Valla, Tomás (2015) On the Tree Search Problem with Non-uniform Costs. In: 41st International Workshop on Graph-Theoretic Concepts in Computer Science, 2015. June 17-19., Munich, Germany.

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Abstract

Searching in partially ordered structures has been considered in the context of information retrieval and efficient tree-like indices, as well as in hierarchy based knowledge representation. In this paper we focus on tree-like partial orders and consider the problem of identifying an initially unknown vertex in a tree by asking edge queries: an edge query $e$ returns the component of $T-e$ containing the vertex sought for, while incurring some known cost $c(e)$. The Tree Search Problem with Non-Uniform Cost is the following: given a tree $T$ on $n$ vertices, each edge having an associated cost, construct a strategy that minimizes the total cost of the identification in the worst case. Finding the strategy guaranteeing the minimum possible cost is an NP-complete problem already for input trees of degree 3 or diameter 6. The best known approximation guarantee was an $O(\log n/\log \log \log n)$-approximation algorithm of [Cicalese et al. TCS 2012]. We improve upon the above results both from the algorithmic and the computational complexity point of view: We provide a novel algorithm that provides an $O(\frac{\log n}{\log \log n})$-approximation of the cost of the optimal strategy. In addition, we show that finding an optimal strategy is NP-complete even when the input tree is a spider of diameter 6, i.e., at most one vertex has degree larger than 2.

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