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<item>
  <id>05780411</id>
  <dt>a</dt>
  <an>05780411</an>
  <augroup>
    <au>Xiao, Mingyu</au>
    <au>Fukunaga, Takuro</au>
    <au>Nagamochi, Hiroshi</au>
  </augroup>
  <ti>FPTAS's for some cut problems in weighted trees.</ti>
  <so>Lee, Der-Tsai (ed.) et al., Frontiers in algorithmics. 4th international workshop, FAW 2010, Wuhan, China, August 11--13, 2010. Proceedings. Berlin: Springer (ISBN 978-3-642-14552-0/pbk). Lecture Notes in Computer Science 6213, 210-221 (2010).</so>
  <py>2010</py>
  <pu>Berlin: Springer</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>Graph Cut</ut>
    <ut>FPTAS</ut>
    <ut>Tree</ut>
    <ut>Tree Knapsack</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1007/978-3-642-14553-7_21</li>
  </ligroup>
  <abgroup>
    <ab>Summary: Given a tree with nonnegative edge cost and nonnegative vertex weight, and a number $k \geq 0$, we consider the following four cut problems: cutting vertices of weight at most or at least $k$ from the tree by deleting some edges such that the remaining part of the graph is still a tree and the total cost of the edges being deleted is minimized or maximized. The MinMstCut problem (cut vertices of weight at most $k$ and minimize the total cost of the edges being deleted) can be solved in linear time and space and the other three problems are NP-hard. In this paper, we design an $O(\ln /\epsilon )$-time $O(l ^{2}/\epsilon + n)$-space algorithm for MaxMstCut, and $O(\ln (1/\epsilon + \log n))$-time $O(l ^{2}/\epsilon + n)$-space algorithms for MinLstCut and MaxLstCut, where $n$ is the number of vertices in the tree, $l$ the number of leaves, and $\epsilon > 0$ the prescribed error bound.</ab>
    <rv></rv>
  </abgroup>
</item>