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Computing with Tangles

Tangles of graphs have been introduced by Robertson and Seymour in the context of their graph minor theory. Tangles may be viewed as describing "k-connected components" of a graph (though in a twisted way). They play an important role in graph minor theory. An interesting aspect of tangles is that they cannot only be defined for graphs, but more generally for arbitrary connectivity functions (that is, integer-valued submodular and symmetric set functions). However, tangles are difficult to deal with algorithmically. To start with, it is unclear how to represent them, because they are families of separations and as such may be exponentially large. Our first contribution is a data structure for representing and accessing all tangles of a graph up to some fixed order. Using this data structure, we can prove an algorithmic version of a very general structure theorem due to Carmesin, Diestel, Harman and Hundertmark (for graphs) and Hundertmark (for arbitrary connectivity functions) that yields a canonical tree decomposition whose parts correspond to the maximal tangles. (This may be viewed as a generalisation of the decomposition of a graph into its 3-connected components.)

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Related contextCo-authorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalWComputing with Tanglespreprint / 2016AMartin GroheResearcherAPascal SchweitzerResearcherTmath.CO8936 worksTData Structures and Alg...3564 worksTDiscrete Mathematics1775 works
PaperSignal 105 links

Computing with Tangles

preprint / 2016

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