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Fully Dynamic Connectivity in $O(\log n(\log\log n)^2)$ Amortized Expected Time

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arxiv 1609.05867 v4 pith:DHXH6LKZ submitted 2016-09-19 cs.DS

classification cs.DS
keywords dynamicconnectivitytimeamortizedexpectedpatrascualgorithmsbounds
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

Dynamic connectivity is one of the most fundamental problems in dynamic graph algorithms. We present a randomized Las Vegas dynamic connectivity data structure with $O(\log n(\log\log n)^2)$ amortized expected update time and $O(\log n/\log\log\log n)$ worst case query time, which comes very close to the cell probe lower bounds of Patrascu and Demaine (2006) and Patrascu and Thorup (2011).

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