1,613 research outputs found

    Canonizing Graphs of Bounded Tree Width in Logspace

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    Graph canonization is the problem of computing a unique representative, a canon, from the isomorphism class of a given graph. This implies that two graphs are isomorphic exactly if their canons are equal. We show that graphs of bounded tree width can be canonized by logarithmic-space (logspace) algorithms. This implies that the isomorphism problem for graphs of bounded tree width can be decided in logspace. In the light of isomorphism for trees being hard for the complexity class logspace, this makes the ubiquitous class of graphs of bounded tree width one of the few classes of graphs for which the complexity of the isomorphism problem has been exactly determined.Comment: 26 page

    Hedonic Games with Graph-restricted Communication

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    We study hedonic coalition formation games in which cooperation among the players is restricted by a graph structure: a subset of players can form a coalition if and only if they are connected in the given graph. We investigate the complexity of finding stable outcomes in such games, for several notions of stability. In particular, we provide an efficient algorithm that finds an individually stable partition for an arbitrary hedonic game on an acyclic graph. We also introduce a new stability concept -in-neighbor stability- which is tailored for our setting. We show that the problem of finding an in-neighbor stable outcome admits a polynomial-time algorithm if the underlying graph is a path, but is NP-hard for arbitrary trees even for additively separable hedonic games; for symmetric additively separable games we obtain a PLS-hardness result

    Fully polynomial FPT algorithms for some classes of bounded clique-width graphs

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    Parameterized complexity theory has enabled a refined classification of the difficulty of NP-hard optimization problems on graphs with respect to key structural properties, and so to a better understanding of their true difficulties. More recently, hardness results for problems in P were achieved using reasonable complexity theoretic assumptions such as: Strong Exponential Time Hypothesis (SETH), 3SUM and All-Pairs Shortest-Paths (APSP). According to these assumptions, many graph theoretic problems do not admit truly subquadratic algorithms, nor even truly subcubic algorithms (Williams and Williams, FOCS 2010 and Abboud, Grandoni, Williams, SODA 2015). A central technique used to tackle the difficulty of the above mentioned problems is fixed-parameter algorithms for polynomial-time problems with polynomial dependency in the fixed parameter (P-FPT). This technique was introduced by Abboud, Williams and Wang in SODA 2016 and continued by Husfeldt (IPEC 2016) and Fomin et al. (SODA 2017), using the treewidth as a parameter. Applying this technique to clique-width, another important graph parameter, remained to be done. In this paper we study several graph theoretic problems for which hardness results exist such as cycle problems (triangle detection, triangle counting, girth, diameter), distance problems (diameter, eccentricities, Gromov hyperbolicity, betweenness centrality) and maximum matching. We provide hardness results and fully polynomial FPT algorithms, using clique-width and some of its upper-bounds as parameters (split-width, modular-width and P_4P\_4-sparseness). We believe that our most important result is an O(k4â‹…n+m){\cal O}(k^4 \cdot n + m)-time algorithm for computing a maximum matching where kk is either the modular-width or the P_4P\_4-sparseness. The latter generalizes many algorithms that have been introduced so far for specific subclasses such as cographs, P_4P\_4-lite graphs, P_4P\_4-extendible graphs and P_4P\_4-tidy graphs. Our algorithms are based on preprocessing methods using modular decomposition, split decomposition and primeval decomposition. Thus they can also be generalized to some graph classes with unbounded clique-width

    On embedding well-separable graphs

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    Call a simple graph HH of order nn well-separable, if by deleting a separator set of size o(n)o(n) the leftover will have components of size at most o(n)o(n). We prove, that bounded degree well-separable spanning subgraphs are easy to embed: for every γ>0\gamma >0 and positive integer Δ\Delta there exists an n0n_0 such that if n>n0n>n_0, Δ(H)≤Δ\Delta(H) \le \Delta for a well-separable graph HH of order nn and δ(G)≥(1−12(χ(H)−1)+γ)n\delta(G) \ge (1-{1 \over 2(\chi(H)-1)} + \gamma)n for a simple graph GG of order nn, then H⊂GH \subset G. We extend our result to graphs with small band-width, too.Comment: 11 pages, submitted for publicatio
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