2005
DOI: 10.1007/11561071_69
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Computing Common Intervals of K Permutations, with Applications to Modular Decomposition of Graphs

Abstract: Abstract. We introduce a new approach to compute the common intervals of K permutations based on a very simple and general notion of generators of common intervals. This formalism leads to simple and efficient algorithms to compute the set of all common intervals of K permutations that can contain a quadratic number of intervals, as well as a linear space basis of this set of common intervals. Finally, we show how our results on permutations can be used for computing the modular decomposition of graphs.

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Cited by 37 publications
(46 citation statements)
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“…The strong interval tree of P can be computed in linear time and space (see [2,3] for example). We call the tree T S (P ) the strong interval tree of P , and we identify a vertex of T S (P ) with the strong interval it represents.…”
Section: The Strong Interval Treementioning
confidence: 99%
“…The strong interval tree of P can be computed in linear time and space (see [2,3] for example). We call the tree T S (P ) the strong interval tree of P , and we identify a vertex of T S (P ) with the strong interval it represents.…”
Section: The Strong Interval Treementioning
confidence: 99%
“…The combinatorial structures we consider here are common intervals of signed permutations [7], [22], [41]. Roughly speaking, a common interval of two signed permutations is a set of genes that forms an interval in both permutations, or in other words, that is conserved in the two permutations up to local rearrangements.…”
Section: Perfect Sorting By Reversalsmentioning
confidence: 99%
“…They proposed an O(kn) time algorithm to compute the set of irreducible common intervals of k permutations of n elements. A simpler algorithm is given in [7] (see also [12] for a related work). Note that, if I is a common interval of P and J is an interval of P that does not commute with I, then reversing J in P leads to a permutation P such that I is not a common interval of P .…”
Section: Examplementioning
confidence: 99%
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