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Parameterized Algorithms for Weighted Matching and Packing Problems

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Theory and Applications of Models of Computation (TAMC 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4484))

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(12.8mk n O(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)k n O(1)) for the weighted m -d matching problem, which is a restricted version of the weighted m -set packing problem.

This work is supported by the National Natural Science Foundation of China (60433020) and the Program for New Century Excellent Talents in University (NCET-05-0683).

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Jin-Yi Cai S. Barry Cooper Hong Zhu

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© 2007 Springer-Verlag Berlin Heidelberg

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Liu, Y., Chen, J., Wang, J. (2007). Parameterized Algorithms for Weighted Matching and Packing Problems. In: Cai, JY., Cooper, S.B., Zhu, H. (eds) Theory and Applications of Models of Computation. TAMC 2007. Lecture Notes in Computer Science, vol 4484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72504-6_63

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  • DOI: https://doi.org/10.1007/978-3-540-72504-6_63

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72503-9

  • Online ISBN: 978-3-540-72504-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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