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Theoretical Computer Science
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Theoretical Computer Science
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Article . 2020
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On the treewidth of Hanoi graphs

Authors: David Eppstein; Daniel Frishberg; William Maxwell;

On the treewidth of Hanoi graphs

Abstract

The objective of the well-known Towers of Hanoi puzzle is to move a set of disks one at a time from one of a set of pegs to another, while keeping the disks sorted on each peg. We propose an adversarial variation in which the first player forbids a set of states in the puzzle, and the second player must then convert one randomly-selected state to another without passing through forbidden states. Analyzing this version raises the question of the treewidth of Hanoi graphs. We find this number exactly for three-peg puzzles and provide nearly-tight asymptotic bounds for larger numbers of pegs.

- To be published in the Proceedings of the Tenth International Conference on Fun with Algorithms (FUN 2020). - 22 pages (including title page, bibliography, and appendix). - Five figures

Keywords

FOS: Computer and information sciences, vertex expansion, Discrete Mathematics (cs.DM), Hanoi graph, graph separators, Treewidth, Applications of graph theory, Kneser graph, tensor product, 004, Haven, Tensor product, treewidth, FOS: Mathematics, Graph separators, Mathematics - Combinatorics, Combinatorial games, Combinatorics (math.CO), Vertex expansion, Computer Science - Discrete Mathematics, ddc: ddc:004

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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