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            We present a deterministic fully dynamic algorithm with subpolynomial worst-case time per graph update such that after processing each update of the graph, the algorithm outputs a minimum cut of the graph if the graph has a cut of size at most $$c$$ for some $$c = (\log n)^{o(1)}$$. Previously, the best update time was $$\widetilde O(\sqrt{n})$$ for any $c > 2$ and $$c = O(\log n)$$.more » « less
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            Dynamic connectivity is one of the most fundamental problems in dynamic graphalgorithms. We present a randomized Las Vegas dynamic connectivity datastructure 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 thecell probe lower bounds of Patrascu and Demaine (2006) and Patrascu and Thorup(2011).more » « less
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