Parameterized algorithms for weighted matching and packing problems

  • Authors:
  • Yunlong Liu;Jianer Chen;Jianxin Wang

  • Affiliations:
  • College of Information Science and Engineering, Central South University, Changsha, P.R. China and School of Continuing Education, Hunan Normal University, Changsha, P.R. China;College of Information Science and Engineering, Central South University, Changsha, P.R. China and Department of Computer Science Texas AM University, College Station, TX;College of Information Science and Engineering, Central South University, Changsha, P.R. China

  • Venue:
  • TAMC'07 Proceedings of the 4th international conference on Theory and applications of models of computation
  • Year:
  • 2007

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Abstract

The weighted m-D matching and m-set packing problems (m ≥ 3) are usually solved through approximation algorithms. In this paper, we define the parameterized versions of these problems and study their algorithms. For the weighted m-set packing problem, we develop a parameterized algorithm of running time O(12.8mknO(1)), which is based on the recently improved color-coding technology and dynamic programming. By refining the techniques, we also develop a more efficient parameterized algorithm of running time O(12.8(m-1)knO(1)) for the weighted m-d matching problem, which is a restricted version of the weighted m-set packing problem.