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The k-Separator Problem

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Computing and Combinatorics (COCOON 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7936))

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Abstract

Given a vertex-weighted undirected graph G = (V,E,w) and a positive integer k, we consider the k-separator problem: it consists in finding a minimum-weight subset of vertices whose removal leads to a graph where the size of each connected component is less than or equal to k. We show that this problem can be solved in polynomial time for some graph classes: for cycles and trees by a dynamic programming approach and by using a peculiar graph transformation coupled with recent results from the literature for m K 2-free, (G 1, G 2, G 3, P 6)-free, interval-filament, asteroidal triple-free, weakly chordal, interval and circular-arc graphs. Approximation algorithms are also presented.

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References

  1. Balas, E., de Souza, C.: The vertex separator problem: a polyhedral investigation. Mathematical Programming 103, 583–608 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  2. Balas, E., Yu, C.: On graphs with polynomially solvable maximum-weight clique problem. Networks 19, 247–253 (1989)

    Article  MathSciNet  MATH  Google Scholar 

  3. Borndörfer, R., Ferreira, C.E., Martin, A.: Decomposing matrices into blocks. SIAM Journal on Optimization 9, 236–269 (1998)

    Article  MATH  Google Scholar 

  4. Broersma, H., Kloks, T., Kratsch, D., Müller, H.: Independent sets in asteroidal triple-free graphs. SIAM Journal on Discrete Math. 12, 276–287 (1999)

    Article  MATH  Google Scholar 

  5. Cameron, K., Hell, P.: Independent packings in structured graphs. Mathematical Programming, Ser. B 105, 201–213 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  6. Gavril, F.: Maximum weight independent sets and cliques in intersection graphs of filaments. Information Processing Letters 73, 181–188 (2000)

    Article  MathSciNet  Google Scholar 

  7. Goldschmidt, O., Hochbaum, D.: K-Edge Subgraphs Problems. Discrete Applied Mathematics 74, 159–169 (1997)

    Article  MathSciNet  MATH  Google Scholar 

  8. Habib, M., McConnell, R., Paul, C., Viennot, L.: Lex-BFS and partition refinement, with applications to transitive orientation, interval graph recognition, and consecutive ones testing. Theor. Comput. Sci. 234, 59–84 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  9. Hayard, R.B.: Weakly triangulated graphs. Journal of Combinatorial Theory, Ser. B 39, 200–209 (1985)

    Article  Google Scholar 

  10. Korte, B., Vygen, J.: Combinatorial optimization: theory and algorithms. Springer (2005)

    Google Scholar 

  11. Lozin, V., Milanic, M.: A polynomial algorithm to find an independent set of maximum weight in a fork-free graph. Journal of Discrete Algorithms 6, 595–604 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  12. Lozin, V., Rautenbach, D.: Some results on graphs without long induced paths. Inform. Process. Lett. 88, 167–171 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  13. Minty, G.: On maximal independent sets of vertices in claw-free graphs. Journal of Combinatorial Theory, Ser. B 28, 284–304 (1980)

    Article  MathSciNet  MATH  Google Scholar 

  14. Oosten, M., Rutten, J., Spiksma, F.: Disconnecting graphs by removing vertices: a polyhedral approach. Statistica Neerlandica 61, 35–60 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  15. Orlovich, Y., Dolgui, A., Finke, G., Gordon, V., Werner, F.: The complexity of dissociation set problems in graphs. Discrete Applied Mathematics 159, 1352–1366 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  16. Sbihi, N.: Algorithme de recherche d’un stable de cardinalité maximum dans un graphe sans étoile. Discrete Mathematics 29, 53–76 (1980)

    Article  MathSciNet  MATH  Google Scholar 

  17. Schrijver, A.: Combinatorial optimization: polyhedra and efficiency. Springer (2003)

    Google Scholar 

  18. Shmoys, D.: Cut problems and their application to divide-and-conquer. In: Hochbaum, D.S. (ed.) Approximation Algorithms for NP-hard Problems, pp. 192–235. PWS Publishing (1997)

    Google Scholar 

  19. Spinrad, J.P., Sritharan, R.: Algorithms for weakly triangulated graphs. Discrete Appl. Math. 59, 181–191 (1995)

    Article  MathSciNet  MATH  Google Scholar 

  20. Williamson, D.: The primal-dual method for approximation algorithms. Mathematical Programming, Ser. B 91, 447–478 (2002)

    Article  MATH  Google Scholar 

  21. Yannakakis, M.: Node-deletion problems on bipartite graphs. SIAM Journal on Computing 10, 310–327 (1981)

    Article  MathSciNet  MATH  Google Scholar 

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Ben-Ameur, W., Mohamed-Sidi, MA., Neto, J. (2013). The k-Separator Problem. In: Du, DZ., Zhang, G. (eds) Computing and Combinatorics. COCOON 2013. Lecture Notes in Computer Science, vol 7936. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38768-5_31

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  • DOI: https://doi.org/10.1007/978-3-642-38768-5_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38767-8

  • Online ISBN: 978-3-642-38768-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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