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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/bfb002...
Part of book or chapter of book . 1997 . Peer-reviewed
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DBLP
Conference object . 2017
Data sources: DBLP
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Sequential and parallel algorithms on compactly represented chordal and strongly chordal graphs

Authors: Elias Dahlhaus;

Sequential and parallel algorithms on compactly represented chordal and strongly chordal graphs

Abstract

For a given ordered graph (G, <), we consider the smallest (strongly) chordal graph G′ containing G with < as a (strongly) perfect elimination ordering. We call (G, <) a compact representation of G′. We show that the computation of a depth-first search tree and a breadth-first search tree can be done in polylogarithmic time with a linear processor number with respect to the size of the compact representation in parallel. We consider also the problems to find a maximum clique and to develop a data structure extension that allows an adjacency query in polylogarithmic time.

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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!
0
Average
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