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Information Journal Paper

Title

Tenacious Graph is NP-hard

Pages

  127-134

Abstract

 The tenacity of a graph G, T(G), is de ned by T(G) = minfjSj+ (G􀀀 S)! (G􀀀 S) g, where the minimum is taken over all vertex cutsets S of G. We de ne  (G 􀀀 S) to be the number of the vertices in the largest component of the graph G 􀀀 S, and! (G 􀀀 S) be the number of components of G 􀀀 S. In this paper we consider the relationship between the minimum degree  (G) of a graph and the complexity of recognizing if a graph is T-tenacious. Let T  1 be a rational number. We rst show that if  (G)  Tn T+1, then G is T-tenacious. On the other hand, for any xed  > 0, we show that it is NP-hard to determine if G is T-tenacious, even for the class of graphs with  (G)  ( T T+1 􀀀  )n.

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    APA: Copy

    Moazzami, Dara. (2019). Tenacious Graph is NP-hard. JOURNAL OF ALGORITHMS AND COMPUTATION, 51(2), 127-134. SID. https://sid.ir/paper/354579/en

    Vancouver: Copy

    Moazzami Dara. Tenacious Graph is NP-hard. JOURNAL OF ALGORITHMS AND COMPUTATION[Internet]. 2019;51(2):127-134. Available from: https://sid.ir/paper/354579/en

    IEEE: Copy

    Dara Moazzami, “Tenacious Graph is NP-hard,” JOURNAL OF ALGORITHMS AND COMPUTATION, vol. 51, no. 2, pp. 127–134, 2019, [Online]. Available: https://sid.ir/paper/354579/en

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