Improved Deterministic Algorithms for Weighted Matching and Packing Problems

نویسندگان

  • Qilong Feng
  • Yang Liu
  • Songjian Lu
  • Jianxin Wang
چکیده

Based on the method of (n, k)-universal sets, we present a deterministic parameterized algorithm for the weighted rd-matching problem with time complexity O∗(4(r−1)k+o(k)), improving the previous best upper bound O∗(4rk+o(k)). In particular, the algorithm applied to the unweighted 3d-matching problem results in a deterministic algorithm with time O ∗(16k+o(k)), improving the previous best result O∗(21.26k). For the weighted r-set packing problem, we present a deterministic parameterized algorithm with time complexity O ∗(2(2r−1)k+o(k)), improving the previous best result O∗(22rk+o(k)). The algorithm, when applied to the unweighted 3-set packing problem, has running time O∗(32k+o(k)), improving the previous best result O∗(43.62k+o(k)). Moreover, for the weighted r-set packing and weighted rd-matching problems, we give a kernel of size O(k ), which is the first kernelization algorithm for the problems on weighted versions. © 2010 Elsevier B.V. All rights reserved.

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عنوان ژورنال:
  • Theor. Comput. Sci.

دوره 412  شماره 

صفحات  -

تاریخ انتشار 2009