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Faster Deterministic Fully-Dynamic Graph Connectivity

Abstract

We give new deterministic bounds for fully-dynamic graph connectivity. Our data structure supports updates (edge insertions/deletions) in O(log2n/loglogn)O(\log^2n/\log\log n) amortized time and connectivity queries in O(logn/loglogn)O(\log n/\log\log n) worst-case time, where nn is the number of vertices of the graph. This improves the deterministic data structures of Holm, de Lichtenberg, and Thorup (STOC 1998, J.ACM 2001) and Thorup (STOC 2000) which both have O(log2n)O(\log^2n) amortized update time and O(logn/loglogn)O(\log n/\log\log n) worst-case query time. Our model of computation is the same as that of Thorup, i.e., a pointer machine with standard AC0AC^0 instructions.Comment: To appear at SODA 2013. 19 pages, 1 figur

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