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Improved Deterministic Algorithms for Weighted Matching and Packing Problems

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5532))

Abstract

For the weighted rD-Matching problem, we present a deterministic parameterized algorithm with time complexity O *(4(r − 1)k), improving the previous best upper bound O *(4rk). In particular, the algorithm can be applied to solve the unweighted 3D-Matching problem with time O *(16k), 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), improving the previous best result O *(22rk). The algorithm, when applied to the unweighted 3-Set Packing problem, has running time O *(32k), improving the previous best result O *(43.62k). Moreover, for the weighted rD-Matching and weighted r-Set Packing problems, we get a kernel of size O(k r).

This work is supported by the National Natural Science Foundation of China (No. 60773111), the National Grand Fundamental Research 973 Program of China (No. 2008CB317107), the Excellent Youth Foundation of Hunan province of China (No. 06JJ10009), Program for New Century Excellent Talents in University (No. NCET-O5-0683) and Program for Changjiang Scholars and Innovative Research Team in University (No. IRT0661).

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Feng, Q., Liu, Y., Lu, S., Wang, J. (2009). Improved Deterministic Algorithms for Weighted Matching and Packing Problems. In: Chen, J., Cooper, S.B. (eds) Theory and Applications of Models of Computation. TAMC 2009. Lecture Notes in Computer Science, vol 5532. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02017-9_24

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  • DOI: https://doi.org/10.1007/978-3-642-02017-9_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02016-2

  • Online ISBN: 978-3-642-02017-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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