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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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
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