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Efficient Algorithms for the Label Cut Problems

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Book cover Theory and Applications of Models of Computation (TAMC 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8402))

Abstract

Given a graph with labels defined on edges and a source-sink pair (s, t), the Label s-t Cut problem asks a minimum number of labels such that the removal of edges with these labels disconnects s and t. Similarly, the Global Label Cut problem asks a minimum number of labels such that its removal disconnects G itself. For these two problems we give some efficient algorithms that are useful in practice. In particular, we give a combinatorial l max -approximation algorithm for the Label s-t Cut problem, where l max is the maximum s-t length. We show the Global Label Cut problem is polynomial-time solvable in several special cases, including graphs with bounded treewidth, planar graphs, and instances with bounded label frequency.

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References

  1. Coudert, D., Datta, P., Perennes, S., Rivano, H., Voge, M.E.: Shared risk resource group: complexity and approximability issues. Parallel Processing Letters 17, 169–184 (2007)

    Article  MathSciNet  Google Scholar 

  2. Fellows, M., Guo, J., Kanj, I.: The parameterized complexity of some minimum label problems. Journal of Computer and System Sciences 76(8), 727–740 (2010)

    Article  MATH  MathSciNet  Google Scholar 

  3. Jegelka, S., Bilmes, J.: Cooperative cuts: graph cuts with submodular edge weights. Technical Report TR-189 (2010)

    Google Scholar 

  4. Jha, S., Sheyner, O., Wing, J.M.: Two formal analyses of attack graphs. In: Proceedings of the 15th IEEE Computer Security Foundations Workshop (CSFW), pp. 49–63. IEEE Computer Society (2002)

    Google Scholar 

  5. Sheyner, O., Haines, J., Jha, S., Lippmann, R., Wing, J.: Automated generation and analysis of attack graphs. In: Proceedings of the IEEE Symposium on Security and Privacy, Oakland, CA, pp. 273–284 (2002)

    Google Scholar 

  6. Tang, L., Zhang, P.: Approximating minimum label s-t cut via linear programming. In: Fernández-Baca, D. (ed.) LATIN 2012. LNCS, vol. 7256, pp. 655–666. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  7. Zhang, P., Cai, J.Y., Tang, L., Zhao, W.: Approximation and hardness results for label cut and related problems. Journal of Combinatorial Optimization 21(2), 192–208 (2011)

    Article  MATH  MathSciNet  Google Scholar 

  8. Karp, R.: Reducibility among combinatorial problems. In: Miller, R.E., Thatcher, J.W. (eds.) Complexity of Computer Computations, pp. 85–103. Plenum Press, New York (1972)

    Chapter  Google Scholar 

  9. Papadimitriou, C.: Computational Complexity. Addison-Wesley Publishing Company, Inc. (1994)

    Google Scholar 

  10. Papadimitriou, C., Yannakakis, M.: Optimization, approximation, and complexity classes. Journal of Computer and System Sciences 43, 425–440 (1991)

    Article  MATH  MathSciNet  Google Scholar 

  11. Khot, S., Regev, O.: Vertex cover might be hard to approximate to within 2 − ε. Journal of Computer and System Sciences 74(3), 335–349 (2008)

    Article  MATH  MathSciNet  Google Scholar 

  12. Kleinberg, J., Tardos, E.: Algorithm design. Addison-Wesley (2006)

    Google Scholar 

  13. Karger, D., Stein, C.: A new approach to the minimum cut problem. Journal of the ACM 43(4), 601–640 (1996)

    Article  MATH  MathSciNet  Google Scholar 

  14. Nagamochi, H., Nishimura, K., Ibaraki, T.: Computing all small cuts in an undirected network. SIAM Journal on Discrete Mathematics 10(3), 469–481 (1997)

    Article  MATH  MathSciNet  Google Scholar 

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Zhang, P. (2014). Efficient Algorithms for the Label Cut Problems. In: Gopal, T.V., Agrawal, M., Li, A., Cooper, S.B. (eds) Theory and Applications of Models of Computation. TAMC 2014. Lecture Notes in Computer Science, vol 8402. Springer, Cham. https://doi.org/10.1007/978-3-319-06089-7_18

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  • DOI: https://doi.org/10.1007/978-3-319-06089-7_18

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06088-0

  • Online ISBN: 978-3-319-06089-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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