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Minimum Spanning Tree Verification under Uncertainty

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conference contribution
posted on 2015-02-13, 11:59 authored by Thomas R. Erlebach, Michael Hoffmann
In the verification under uncertainty setting, an algorithm is given, for each input item, an uncertainty area that is guaranteed to contain the exact input value, as well as an assumed input value. An update of an input item reveals its exact value. If the exact value is equal to the assumed value, we say that the update verifies the assumed value. We consider verification under uncertainty for the minimum spanning tree (MST) problem for undirected weighted graphs, where each edge is associated with an uncertainty area and an assumed edge weight. The objective of an algorithm is to compute the smallest set of updates with the property that, if the updates of all edges in the set verify their assumed weights, the edge set of an MST can be computed. We give a polynomial-time optimal algorithm for the MST verification problem by relating the choices of updates to vertex covers in a bipartite auxiliary graph. Furthermore, we consider an alternative uncertainty setting where the vertices are embedded in the plane, the weight of an edge is the Euclidean distance between the endpoints of the edge, and the uncertainty is about the location of the vertices. An update of a vertex yields the exact location of that vertex. We prove that the MST verification problem in this vertex uncertainty setting is NP-hard. This shows a surprising difference in complexity between the edge and vertex uncertainty settings of the MST verification problem.

History

Citation

Proceedings of the 40th International Workshop on Graph-Theoretic Concepts in Computer Science (WG 2014)

Author affiliation

/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Computer Science

Source

40th International Workshop on Graph-Theoretic Concepts in Computer Science (WG 2014), Le Domaine de Chalès

Version

  • AM (Accepted Manuscript)

Published in

Proceedings of the 40th International Workshop on Graph-Theoretic Concepts in Computer Science (WG 2014)

Publisher

Springer

issn

0302-9743

isbn

978-3-319-12340-0

Copyright date

2014

Available date

2015-06-01

Publisher version

http://www.springer.com/computer/theoretical+computer+science/book/978-3-319-12339-4 http://link.springer.com/chapter/10.1007/978-3-319-12340-0_14

Book series

Lecture Notes in Computer Science;8747

Temporal coverage: start date

2014-06-25

Temporal coverage: end date

2014-06-27

Language

en

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