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The parity Hamiltonian cycle problem

Authors: Hiroshi Nishiyama; Yusuke Kobayashi 0001; Yukiko Yamauchi; Shuji Kijima; Masafumi Yamashita;

The parity Hamiltonian cycle problem

Abstract

Motivated by a relaxed notion of the celebrated Hamiltonian cycle, this paper investigates its variant, parity Hamiltonian cycle (PHC): A PHC of a graph is a closed walk which visits every vertex an odd number of times, where we remark that the walk may use an edge more than once. First, we give a complete characterization of the graphs which have PHCs, and give a linear time algorithm to find a PHC, in which every edge appears at most four times, in fact. In contrast, we show that finding a PHC is NP-hard if a closed walk is allowed to use each edge at most z times for each z=1,2,3 (PHCz for short), even when a given graph is two-edge connected. We then further investigate the PHC3 problem, and show that the problem is in P when an input graph is four-edge connected. Finally, we are concerned with three (or two)-edge connected graphs, and show that the PHC3 is in P for any C_>=5-free or P6-free graphs. Note that the Hamiltonian cycle problem is known to be NP-hard for those graph classes.

29 pages, 16 figures

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Keywords

Hamiltonian cycle problem, FOS: Computer and information sciences, Eulerian and Hamiltonian graphs, Computer Science - Computational Complexity, Analysis of algorithms and problem complexity, graph factor, Computational Complexity (cs.CC), \(T\)-join

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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!
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