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A measure & conquer approach for the analysis of exact algorithms
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Incompressibility through Colors and IDs
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Set Partitioning via Inclusion-Exclusion
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Exact and approximate bandwidth
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Exact algorithm for the maximum induced planar subgraph problem
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Scheduling partially ordered jobs faster than 2n
ESA'11 Proceedings of the 19th European conference on Algorithms
On partitioning a graph into two connected subgraphs
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Solving Connectivity Problems Parameterized by Treewidth in Single Exponential Time
FOCS '11 Proceedings of the 2011 IEEE 52nd Annual Symposium on Foundations of Computer Science
Known algorithms on graphs of bounded treewidth are probably optimal
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Removing local extrema from imprecise terrains
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Finding a maximum induced degenerate subgraph faster than 2n
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The 2-Disjoint Connected Subgraphs problem, given a graph along with two disjoint sets of terminals Z1, Z2, asks whether it is possible to find disjoint sets A1, A2, such that Z1⊆A1, Z2⊆A2 and A1, A2 induce connected subgraphs. While the naive algorithm runs in O(2nnO(1)) time, solutions with complexity of form O((2−ε)n) have been found only for special graph classes [15, 19]. In this paper we present an O(1.933n) algorithm for 2-Disjoint Connected Subgraphs in general case, thus breaking the 2n barrier. As a counterpoise of this result we show that if we parameterize the problem by the number of non-terminal vertices, it is hard both to speed up the brute-force approach and to find a polynomial kernel.