Abstract
We study parameterized algorithms and approximation algorithms for the maximum agreement forest problem, which, for two given leaf-labeled trees, is to find a maximum forest that is a subgraph of both trees. The problem was motivated by the research in phylogenetics. For parameterized algorithms, while the problem is known to be fixed-parameter tractable for binary trees, it was an open problem whether the problem is still fixed-parameter tractable for general trees. We resolve this open problem by developing an O(3k n)-time parameterized algorithm for the problem on general trees. Our techniques on tree structures also lead to a polynomial-time approximation algorithm of ratio 3 for the problem, giving the first constant-ratio approximation algorithm for the problem on general trees.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Allen, B., Steel, M.: Subtree transfer operations and their induced metrics on evolutionary trees. Ann. Comb. 5, 2001 (2000)
Amir, A., Keselman, D.: Maximum agreement subtree in a set of evolutionary trees: Metrics and efficient algorithms. SIAM J. Comput. 26(6), 1656–1669 (1997)
Bonet, M., John, K., Mahindru, R., Amenta, N.: Approximating subtree distances between phylogenies. J. Comput. Biol. 13(8), 1419–1434 (2006)
Bordewich, M., McCartin, C., Semple, C.: A 3-approximation algorithm for the subtree distance between phylogenies. J. Discrete Alg. 6(3), 458–471 (2008)
Bordewich, M., Semple, C.: On the computational complexity of the rooted subtree prune and regraft distance. Ann. Comb. 8(4), 409–423 (2005)
Chataigner, F.: Approximating the maximum agreement forest on k trees. Inf. Process. Lett. 93(5), 239–244 (2005)
DasGupta, B., He, X., Jiang, T., Li, M., Tromp, J.: On the linear-cost subtree-transfer distance between phylogenetic trees. Algorithmica 25(2-3), 176–195 (1999)
Downey, R., Fellows, M.: Parameterized Complexity. Springer, New York (1999)
Farach, M., Thorup, M.: Fast comparison of evolutionary trees. In: SODA, pp. 481–488 (1994)
Hallett, M., McCartin, C.: A faster FPT algorithm for the maximum agreement forest problem. Theory Comput. Syst. 41(3), 539–550 (2007)
Hein, J., Jiang, T., Wang, L., Zhang, K.: On the complexity of comparing evolutionary trees. Discrete Appl. Math. 71(1-3), 153–169 (1996)
Hon, W.-K., Lam, T.-W.: Approximating the nearest neighbor interchange distance for evolutionary trees with non-uniform degrees. In: Asano, T., Imai, H., Lee, D.T., Nakano, S.-i., Tokuyama, T. (eds.) COCOON 1999. LNCS, vol. 1627, pp. 61–70. Springer, Heidelberg (1999)
Linz, S., Semple, C.: Hybridization in nonbinary trees. IEEE/ACM Transactions on Computational Biology and Bioinformatics 6, 30–45 (2009)
Rodrigues, E.M., Sagot, M.-F., Wakabayashi, Y.: Some approximation results for the maximum agreement forest problem. In: Goemans, M.X., Jansen, K., Rolim, J.D.P., Trevisan, L. (eds.) APPROX-RANDOM 2001. LNCS, vol. 2129, pp. 159–169. Springer, Heidelberg (2001)
Rodrigues, E., Sagot, M., Wakabayashi, Y.: The maximum agreement forest problem: Approximation algorithms and computational experiments. Theor. Comput. Sci. 374(1-3), 91–110 (2007)
Whidden, C., Beiko, R., Zeh, N.: Fixed-parameter and approximation algorithms for maximum agreement forests. CoRR, abs/1108.2664 (2011)
Whidden, C., Zeh, N.: A unifying view on approximation and FPT of agreement forests. In: Salzberg, S.L., Warnow, T. (eds.) WABI 2009. LNCS, vol. 5724, pp. 390–402. Springer, Heidelberg (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Chen, J., Fan, JH., Sze, SH. (2013). Parameterized and Approximation Algorithms for the MAF Problem in Multifurcating Trees. In: Brandstädt, A., Jansen, K., Reischuk, R. (eds) Graph-Theoretic Concepts in Computer Science. WG 2013. Lecture Notes in Computer Science, vol 8165. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45043-3_14
Download citation
DOI: https://doi.org/10.1007/978-3-642-45043-3_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-45042-6
Online ISBN: 978-3-642-45043-3
eBook Packages: Computer ScienceComputer Science (R0)