Abstract

In the \emph{incremental cycle detection} problem arcs are added to a directed acyclic graph and the algorithm has to report if the new arc closes a cycle. One seeks to minimize the total time to process the entire sequence of arc insertions, or until a cycle appears. In a recent breakthrough, Bender, Fineman, Gilbert and Tarjan \cite{BeFiGiTa11} presented two different algorithms, with time complexity O(n2log⁡n)O(n^2 \log n) and O(m⋅min⁡{m1/2,n2/3})O(m \cdot \min \{m^{1/2}, n^{2/3} \}), respectively. In this paper we introduce a new technique for incremental cycle detection that allows us to obtain both bounds (up to a logarithmic factor). Furthermore, our approach seems more amiable for distributed implementation.

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