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The Complexity of the Positive Semidefinite Zero Forcing

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Combinatorial Optimization and Applications (COCOA 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8881))

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Abstract

The positive zero forcing number of a graph is a graph parameter that arises from a non-traditional type of graph colouring, and is related to a more conventional version of zero forcing. We establish a relation between the zero forcing and the fast-mixed searching, which implies some NP-completeness results for the zero forcing problem. For chordal graphs much is understood regarding the relationships between positive zero forcing and clique coverings. Building upon constructions associated with optimal tree covers and forest covers, we present a linear time algorithm for computing the positive zero forcing number of chordal graphs. We also prove that it is NP-complete to determine if a graph has a positive zero forcing set with an additional property.

Shaun Fallat: Research supported in part by an NSERC Discovery Research Grant, Application No.: RGPIN-2014-06036.

Karen Meagher: Research supported in part by an NSERC Discovery Research Grant, Application No.: RGPIN-341214-2013.

Boting Yang: Research supported in part by an NSERC Discovery Research Grant, Application No.: RGPIN-2013-261290.

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Fallat, S., Meagher, K., Yang, B. (2014). The Complexity of the Positive Semidefinite Zero Forcing. In: Zhang, Z., Wu, L., Xu, W., Du, DZ. (eds) Combinatorial Optimization and Applications. COCOA 2014. Lecture Notes in Computer Science(), vol 8881. Springer, Cham. https://doi.org/10.1007/978-3-319-12691-3_51

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  • DOI: https://doi.org/10.1007/978-3-319-12691-3_51

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  • Print ISBN: 978-3-319-12690-6

  • Online ISBN: 978-3-319-12691-3

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