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Optimal Algorithm of Isolated Toughness for Interval Graphs

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Parallel and Distributed Computing, Applications and Technologies (PDCAT 2020)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12606))

Abstract

Factor and fractional factor are widely used in many fields related to computer science. The isolated toughness of an incomplete graph G is defined as \(i\tau (G)=\min \{\frac{|S|}{i(G-S)}:S\in C(G), i(G-S)>1\}\). Otherwise, we set \(i\tau (G)=\infty \) if G is complete. This parameter has a close relationship with the existence of factors and fractional factors of graphs. In this paper, we pay our attention to computational complexity of isolated toughness, and present an optimal polynomial time algorithm to compute the isolated toughness for interval graphs, a subclass of co-comparability graphs.

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Acknowledgements

This work was supported by NSFC (No.11871280), Natural Science Foundation of Zhejiang Province(China) (No. LY17A010017) and Qing Lan Project. Especially, the authors are very thankful to anonymous referees for their constructive suggestions and critical comments, which led to this improved version.

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Correspondence to Xiaoyan Zhang .

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Li, F., Ye, Q., Broersma, H., Zhang, X. (2021). Optimal Algorithm of Isolated Toughness for Interval Graphs. In: Zhang, Y., Xu, Y., Tian, H. (eds) Parallel and Distributed Computing, Applications and Technologies. PDCAT 2020. Lecture Notes in Computer Science(), vol 12606. Springer, Cham. https://doi.org/10.1007/978-3-030-69244-5_34

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  • DOI: https://doi.org/10.1007/978-3-030-69244-5_34

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  • Print ISBN: 978-3-030-69243-8

  • Online ISBN: 978-3-030-69244-5

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