2006
DOI: 10.1016/j.endm.2006.06.019
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A Linear Algorithm for Computing of a Minimum Weight Maximal Induced Matching in an Edge-Weighted Tree

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Cited by 6 publications
(2 citation statements)
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“…However, in such a class G, it is still interesting to find structural characterizations of wellindumatched graphs which can possibly lead to simpler recognition algorithms. This is the case for trees as both MIM and MMIM can be solved in linear time by the algorithms given in [19] and [25], respectively. In Section 3, we provide a simple characterization of well-indumatched trees which provides a much simpler linear time recognition algorithm.…”
Section: Complexity Of Various Graph Problems In Gmentioning
confidence: 99%
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“…However, in such a class G, it is still interesting to find structural characterizations of wellindumatched graphs which can possibly lead to simpler recognition algorithms. This is the case for trees as both MIM and MMIM can be solved in linear time by the algorithms given in [19] and [25], respectively. In Section 3, we provide a simple characterization of well-indumatched trees which provides a much simpler linear time recognition algorithm.…”
Section: Complexity Of Various Graph Problems In Gmentioning
confidence: 99%
“…In [19], a linear time algorithm for finding the maximum size of an induced matching in a tree is presented. Besides, a linear time algorithm is given for finding the size of a minimum maximal induced matching in a tree in [25]. These two algorithms provide a linear time algorithm for recognizing whether a tree is well-indumatched.…”
Section: Characterization Of Well-indumatched Treesmentioning
confidence: 99%