Abstract
In this paper, we study the Parameterized \(P_2\)-Packing problem and Parameterized Co-Path Packing problem from random perspective. For the Parameterized \(P_2\)-Packing problem, based on the structure analysis of the problem and using random partition technique, a randomized parameterized algorithm of running time \(O^*(6.75^k)\) is obtained, improving the current best result \(O^*(8^k)\). For the Parameterized Co-Path Packing problem, we firstly study the kernel and randomized algorithm for the degree-bounded instance, where each vertex in the instance has degree at most three. A kernel of size \(20k\) and a randomized algorithm of running time \(O^*(2^k)\) are given for the Parameterized Co-Path Packing problem with bounded degree constraint. By applying iterative compression technique and based on the randomized algorithm for degree bounded problem, a randomized algorithm of running time \(O^*(3^k)\) is given for the Parameterized Co-Path Packing problem.





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Notes
Following a recent convention, for a function \(f\), we will use the notion \(O^*(f)\) for the bound \(O(f \! \cdot \! n^{O(1)})\).
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Acknowledgments
This work is supported by the National Natural Science Foundation of China under Grant (61232001, 61103033, 61173051, 61370172).
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A preliminary version of this work was reported in the Proceedings of the 19th Annual International Computing and Combinatorics Conference, Lecture Notes in Computer Science, vol. 7936, 2013, pp. 89–100.
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Feng, Q., Wang, J., Li, S. et al. Randomized parameterized algorithms for \(P_2\)-Packing and Co-Path Packing problems. J Comb Optim 29, 125–140 (2015). https://doi.org/10.1007/s10878-013-9691-z
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DOI: https://doi.org/10.1007/s10878-013-9691-z