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On the Power of Graph Searching for Cocomparability Graphs

Authors: Corneil, Derek G.; Dusart, Jérémie; Habib, Michel; Köhler, Ekkerhard;

On the Power of Graph Searching for Cocomparability Graphs

Abstract

In this paper we study how graph searching on a cocomparability graph G can be used to pro- duce cocomp orderings, (i.e., orderings that are linear extensions of some transitive orientation of G) that yield simple algorithms for various intractable problems in general. Such techniques have been used to find a simple certifying algorithm for the minimum path cover problem. In particular we present a characterization of the searches that preserve cocomp orderings when used as a “+ sweep”. This allows us to present a toolbox of different graph searches and a framework to solve various problems on cocomparability graphs. We illustrate these techniques by describing a very simple certifying algorithm for the maximum independent set problem as well as a simple permutation graph recognition algorithm.Keywords: Cocomparability graphs, comparability graphs, partial orders, linear extensions, graph algorithms, classical graph searches, lexicographic depth first search (LDFS), minimum path cover problem, recognition of permutation graphs.

Keywords

cocomparability graphs, graph search, [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], [INFO] Computer Science [cs]

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citations
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!
12
Average
Average
Top 10%
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