10 research outputs found

    ARRIVAL:Next stop in CLS

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    ARRIVAL: Next Stop in CLS

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    We study the computational complexity of ARRIVAL, a zero-player game on nn-vertex switch graphs introduced by Dohrau, G\"{a}rtner, Kohler, Matou\v{s}ek, and Welzl. They showed that the problem of deciding termination of this game is contained in NP∩coNP\text{NP} \cap \text{coNP}. Karthik C. S. recently introduced a search variant of ARRIVAL and showed that it is in the complexity class PLS. In this work, we significantly improve the known upper bounds for both the decision and the search variants of ARRIVAL. First, we resolve a question suggested by Dohrau et al. and show that the decision variant of ARRIVAL is in UP∩coUP\text{UP} \cap \text{coUP}. Second, we prove that the search variant of ARRIVAL is contained in CLS. Third, we give a randomized O(1.4143n)\mathcal{O}(1.4143^n)-time algorithm to solve both variants. Our main technical contributions are (a) an efficiently verifiable characterization of the unique witness for termination of the ARRIVAL game, and (b) an efficient way of sampling from the state space of the game. We show that the problem of finding the unique witness is contained in CLS, whereas it was previously conjectured to be FPSPACE-complete. The efficient sampling procedure yields the first algorithm for the problem that has expected runtime O(cn)\mathcal{O}(c^n) with c<2c<2.Comment: 13 pages, 6 figure

    Veröffentlichungen und VortrĂ€ge 2009 der Mitglieder der FakultĂ€t fĂŒr Informatik

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    The many faces of planarity : matching, augmentation, and embedding algorithms for planar graphs

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    Jahresbericht 2009 der FakultĂ€t fĂŒr Informatik

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    An algorithmic study of switch graphs

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    We derive a variety of results on the algorithmics of switch graphs. On the negative side we prove hardness of the following problems: Given a switch graph, does it possess a bipartite / planar / triangle-free / Eulerian configuration? On the positive side we design fast algorithms for several connectivity problems in undirected switch graphs, and for recognizing acyclic configurations in directed switch graphs

    An algorithmic study of switch graphs

    No full text
    We derive a variety of results on the algorithmics of switch graphs. On the negative side we prove hardness of the following problems: Given a switch graph, does it possess a bipartite/planar/triangle-free/Eulerian configuration? On the positive side we design fast algorithms for several connectivity problems in undirected switch graphs, and for recognizing acyclic configurations in directed switch graphs

    An algorithmic study of switch graphs

    No full text
    We derive a variety of results on the algorithmics of switch graphs. On the negative side we prove hardness of the following problems: Given a switch graph, does it possess a bipartite / planar / triangle-free / Eulerian configuration? On the positive side we design fast algorithms for several connectivity problems in undirected switch graphs, and for recognizing acyclic configurations in directed switch graphs
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