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THE NEAREST UNVISITED VERTEX WALK ON RANDOM GRAPHS

Published online by Cambridge University Press:  05 April 2021

David J. Aldous Open the ORCID record for David J. Aldous [Opens in a new window]
David J. Aldous*
Affiliation:
Department of Statistics, University of California, Berkeley, California 94720, USA E-mail: aldous@stat.berkeley.edu
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Abstract

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We revisit an old topic in algorithms, the deterministic walk on a finite graph which always moves toward the nearest unvisited vertex until every vertex is visited. There is an elementary connection between this cover time and ball-covering (metric entropy) measures. For some familiar models of random graphs, this connection allows the order of magnitude of the cover time to be deduced from first passage percolation estimates. Establishing sharper results seems a challenging problem.

Keywords

deterministic walkmetric entropynearest neighborrandom graph

Information

Type
Research Article
Information
Probability in the Engineering and Informational Sciences , Volume 36 , Issue 3 , July 2022 , pp. 851 - 867
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press

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