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Kernelization and randomized Parameterized algorithms for Co-path Set problem

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Abstract

Co-path Set problem is of important applications in mapping unique DNA sequences onto chromosomes and whole genomes. Given a graph G, the parameterized version of Co-path Set problem is to find a subset F of edges with size at most k such that each connected component in \(G[E\backslash F]\) is a path. In this paper, we give a kernel of size 6k and a randomized algorithm of running time \(O^*(2.17^k)\) for the Parameterized Co-path Set problem. The randomized methods developed in the paper are of great promising to be applied to other branch-based algorithms.

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Acknowledgments

This work is supported by the National Natural Science Foundation of China under Grant (61232001, 61472449, 61420106009), the Research Fund for the Doctoral Program of Higher Education of China (NO.20130162130001) and the Major Science & Technology Research Program for Strategic Emerging Industry of Hunan (Grant No. 2012GK4054).

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Correspondence to Jianxin Wang.

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A preliminary version of this work was reported in the Proceedings of the 8th International Frontiers of Algorithmics Workshop, Lecture Notes in Computer Science, vol. 8497, 2014, pp. 82–93.

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Feng, Q., Zhou, Q. & Wang, J. Kernelization and randomized Parameterized algorithms for Co-path Set problem. J Comb Optim 32, 67–78 (2016). https://doi.org/10.1007/s10878-015-9901-y

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  • DOI: https://doi.org/10.1007/s10878-015-9901-y

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