Abstract
In this paper we introduce a new graph class denoted as Gen( ∗ ;P 3,C 3,C 5). It contains all graphs that can be generated via split composition by using paths P 3 and cycles C 3 and C 5 as components. This new graph class extends the well known class of distance-hereditary graphs, which corresponds to Gen( ∗ ;P 3,C 3). For the new class we provide efficient algorithms for several basic combinatorial problems: recognition, stretch number, stability number, clique number, domination number, chromatic number, graph isomorphism, and clique width.
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
Bandelt, H.J., Mulder, H.M.: Distance-hereditary graphs. J. Comb. Theory, Ser. B 41(2), 182–208 (1986)
Brandstädt, A., Dragan, F.F.: A linear-time algorithm for connected r-domination and steiner tree on distance-hereditary graphs. Networks 31(3), 177–182 (1998)
Chang, M.S., Hsieh, S.Y., Chen, G.H.: Dynamic programming on distance-hereditary graphs. In: Leong, H.-V., Jain, S., Imai, H. (eds.) ISAAC 1997. LNCS, vol. 1350, pp. 344–353. Springer, Heidelberg (1997)
Cicerone, S.: Using split composition to extend distance-hereditary graphs in a generative way. Tech. Rep. TR.12.2011, Department of Electrical and Information Engineering, University of L’Aquila, Italy (2011)
Cicerone, S., Di Stefano, G.: Graph classes between parity and distance-hereditary graphs. Discrete Applied Mathematics 95(1-3), 197–216 (1999)
Cicerone, S., Di Stefano, G.: On the extension of bipartite to parity graphs. Discrete Applied Mathematics 95(1-3), 181–195 (1999)
Cicerone, S., Di Stefano, G.: Graphs with bounded induced distance. Discrete Applied Mathematics 108(1-2), 3–21 (2001)
Cicerone, S., Di Stefano, G.: Networks with small stretch number. J. Discrete Algorithms 2(4), 383–405 (2004)
Cicerone, S., Di Stefano, G., Flammini, M.: Compact-port routing models and applications to distance-hereditary graphs. J. Parallel Distrib. Comput. 61(10), 1472–1488 (2001)
Cunningham, W.H.: Decomposition of directed graphs. SIAM. J. on Algebraic and Discrete Methods 3(2), 214–228 (1982)
Dahlhaus, E.: Parallel algorithms for hierarchical clustering and applications to split decomposition and parity graph recognition. J. Algorithms 36(2), 205–240 (2000)
Di Stefano, G.: A routing algorithm for networks based on distance-hereditary topologies. In: SIROCCO, pp. 141–151 (1996)
Esfahanian, A.H., Oellermann, O.R.: Distance-hereditary graphs and multidestination message-routing in multicomputers. Journal of Combinatorial Mathematics and Combinatorial Computing 13, 213–222 (1993)
Gabor, C.P., Supowit, K.J., Hsu, W.L.: Recognizing circle graphs in polynomial time. J. ACM 36(3), 435–473 (1989)
Gioan, E., Paul, C.: Dynamic distance hereditary graphs using split decomposition. In: Tokuyama, T. (ed.) ISAAC 2007. LNCS, vol. 4835, pp. 41–51. Springer, Heidelberg (2007)
Hammer, P.L., Maffray, F.: Completely separable graphs. Discrete Applied Mathematics 27(1-2), 85–99 (1990)
Howorka, E.: Distance-hereditary graphs. The Quarterly Journal of Mathematics 28(4), 417–420 (1977)
Rao, M.: Clique-width of graphs defined by one-vertex extensions. Discrete Mathematics 308(24), 6157–6165 (2008)
Rao, M.: Solving some NP-complete problems using split decomposition. Discrete Applied Mathematics 156(14), 2768–2780 (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Cicerone, S. (2011). Using Split Composition to Extend Distance-Hereditary Graphs in a Generative Way. In: Ogihara, M., Tarui, J. (eds) Theory and Applications of Models of Computation. TAMC 2011. Lecture Notes in Computer Science, vol 6648. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20877-5_29
Download citation
DOI: https://doi.org/10.1007/978-3-642-20877-5_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-20876-8
Online ISBN: 978-3-642-20877-5
eBook Packages: Computer ScienceComputer Science (R0)