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<item>
  <id>05834086</id>
  <dt>a</dt>
  <an>05834086</an>
  <augroup>
    <au>Harutyunyan, Ararat</au>
  </augroup>
  <ti>A fast algorithm for powerful alliances in trees.</ti>
  <so>Wu, Weili (ed.) et al., Combinatorial optimization and applications. 4th international conference, COCOA 2010, Kailua-Kona, HI, USA, December 18--20, 2010. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-17457-5/pbk). Lecture Notes in Computer Science 6508, 31-40 (2010).</so>
  <py>2010</py>
  <pu>Berlin: Springer</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>alliances</ut>
    <ut>powerful alliances</ut>
    <ut>weighted trees</ut>
    <ut>algorithm</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1007/978-3-642-17458-2_4</li>
  </ligroup>
  <abgroup>
    <ab>Summary: Given a graph $G = (V,E)$ with a positive weight function $w$ on the vertices of $G$, a global powerful alliance of $G$ is a subset $S$ of $V$ such that for every vertex $v$ at least half of the total weight in the closed neighborhood of $v$ is contributed by the vertices of $S$. Finding the smallest such set in general graphs is NP-complete, even when the weights are all the same. In this paper, we give a linear time algorithm that finds the smallest global powerful alliance of any weighted tree $T = (V,E)$.</ab>
    <rv></rv>
  </abgroup>
</item>