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The Maximum Independent Set Problem in Planar Graphs

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Mathematical Foundations of Computer Science 2008 (MFCS 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5162))

Abstract

We study the computational complexity of finding a maximum independent set of vertices in a planar graph. In general, this problem is known to be NP-hard. However, under certain restrictions it becomes polynomial-time solvable. We identify a graph parameter to which the complexity of the problem is sensible and produce a number of both negative (intractable) and positive (solvable in polynomial time) results, generalizing several known facts.

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References

  1. Alekseev, V.E.: The Effect of Local Constraints on the Complexity of Determination of the Graph Independence Number. In: Combinatorial-algebraic methods in applied mathematics, pp. 3–13. Gorkiy University Press, Gorky (1982) (in Russian)

    Google Scholar 

  2. Alekseev, V.E.: On the Number of Maximal Independent Sets in Graphs from Hereditary Classes. In: Combinatorial-algebraic methods in discrete optimization, pp. 5–8. University of Nizhny Novgorod (1991) (in Russian)

    Google Scholar 

  3. Alekseev, V.E.: A Polynomial Algorithm for Finding the Largest Independent Sets in Fork-free Graphs. Discrete Appl. Math. 135, 3–16 (2004)

    Article  MathSciNet  Google Scholar 

  4. Arnborg, S., Proskurowski, A.: Linear Time Algorithms for NP-hard Problems Restricted to Partial k-trees. Discrete Appl. Math. 23, 11–24 (1989)

    Article  MATH  MathSciNet  Google Scholar 

  5. Bodlaender, H.: A Partial k-Arboretum of Graphs with Bounded Treewidth. Theor. Comput. Sci. 209, 1–45 (1998)

    Article  MATH  MathSciNet  Google Scholar 

  6. De Simone, C.: On the Vertex Packing Problem. Graphs Combinator. 9, 19–30 (1993)

    Article  MATH  Google Scholar 

  7. Demaine, E.D., Hajiaghayi, M.T.: Diameter and Treewidth in Minor-Closed Graph Families, Revisited. Algorithmica 40, 211–215 (2004)

    Article  MATH  MathSciNet  Google Scholar 

  8. Farber, M., Hujter, M., Tuza, Zs.: An Upper Bound on the Number of Cliques in a Graph. Networks 23, 207–210 (1993)

    Article  MATH  MathSciNet  Google Scholar 

  9. Garey, M.G., Johnson, D.S.: The Rectilinear Steiner Tree Problem is NP-Complete. SIAM J. Appl. Math. 32, 826–834 (1977)

    Article  MATH  MathSciNet  Google Scholar 

  10. Kamiński, M., Lozin, V.V., Milanič, M.: Recent Developments on Graphs of Bounded Clique-Width. Discrete Appl. Math. (accepted), http://rutcor.rutgers.edu/pub/rrr/reports2007/6_2007.pdf

  11. Lozin, V., Milanič, M.: A Polynomial Algorithm to Find an Independent Set of Maximum Weight in a Fork-free Graph. In: Proceedings of the ACM-SIAM Symposium on Discrete Algorithms SODA 2006, pp. 26–30 (2006)

    Google Scholar 

  12. Lozin, V., Milanič, M.: Maximum Independent Sets in Graphs of Low Degree. In: Proceedings of the ACM-SIAM Symposium on Discrete Algorithms SODA 2007, pp. 874–880 (2007)

    Google Scholar 

  13. Lozin, V.V., Mosca, R.: Independent Sets in Extensions of 2K 2-Free Graphs. Discrete Appl. Math. 146, 74–80 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  14. Minty, G.J.: On Maximal Independent Sets of Vertices in Claw-free Graphs. J. Comb. Theory B 28, 284–304 (1980)

    Article  MATH  MathSciNet  Google Scholar 

  15. Murphy, O.J.: Computing Independent Sets in Graphs With Large Girth. Discrete Appl. Math. 35, 167–170 (1992)

    Article  MATH  MathSciNet  Google Scholar 

  16. Robertson, N., Seymour, P.D.: Graph Minors. V. Excluding a Planar Graph. J. Comb. Theory B 41, 92–114 (1986)

    Article  MATH  MathSciNet  Google Scholar 

  17. Robertson, N., Sanders, D., Seymour, P., Thomas, R.: The Four-Colour Theorem. J. Comb. Theory B 70, 2–44 (1997)

    Article  MATH  MathSciNet  Google Scholar 

  18. Sbihi, N.: Algorithme de Recherche d’un Stable de Cardinalité Maximum dans un Graphe Sans Étoile. Discrete Math. 29, 53–76 (1980)

    Article  MATH  MathSciNet  Google Scholar 

  19. Tarjan, R.E.: Decomposition by Clique Separators. Discrete Math. 55, 221–232 (1985)

    Article  MATH  MathSciNet  Google Scholar 

  20. Tsukiyama, S., Ide, M., Ariyoshi, H., Shirakawa, I.: A New Algorithm for Generating All the Maximal Independent Sets. SIAM J. Computing 6, 505–517 (1977)

    Article  MATH  MathSciNet  Google Scholar 

  21. Whitesides, S.H.: An Algorithm for Finding Clique Cut-sets. Inform. Process. Lett. 12, 31–32 (1981)

    Article  MATH  MathSciNet  Google Scholar 

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Edward Ochmański Jerzy Tyszkiewicz

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Alekseev, V.E., Lozin, V., Malyshev, D., Milanič, M. (2008). The Maximum Independent Set Problem in Planar Graphs. In: Ochmański, E., Tyszkiewicz, J. (eds) Mathematical Foundations of Computer Science 2008. MFCS 2008. Lecture Notes in Computer Science, vol 5162. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85238-4_7

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  • DOI: https://doi.org/10.1007/978-3-540-85238-4_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85237-7

  • Online ISBN: 978-3-540-85238-4

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