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Random Structures and Algorithms
Article . 1994 . Peer-reviewed
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Finding hidden hamiltonian cycles

Finding hidden Hamiltonian cycles
Authors: Andrei Z. Broder; Alan M. Frieze; Eli Shamir 0001;

Finding hidden hamiltonian cycles

Abstract

AbstractConsider a random graph G composed of a Hamiltonian cycle on n labeled vertices and dn random edges that “high” the cycle. Is it possible to unravel the structures, that is, to efficiently find a Himiltonian cycle in G? We describe an O(n3 log n)‐step algorithm A for this purpose, and prove that it succeeds almost surely. Part one of A properly covers the “trouble spots” of G by a collection of disjoint paths. (This is the hard part to analyze). Part two of A extends this cover to a full cycle by the rotation‐extension technique which is already classical for such problems. © 1994 John Wiley & Sons, Inc.

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Keywords

Eulerian and Hamiltonian graphs, edge disjoint paths, Graph algorithms (graph-theoretic aspects), Random graphs (graph-theoretic aspects), search algorithms, cover, Paths and cycles, Hamiltonian cycles, random graphs, sparse graphs

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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!
18
Average
Top 10%
Average
bronze