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Parameterized computational complexity of finding small-diameter subgraphs

descriptionPublicationkeyboard_double_arrow_right Article 05 Apr 2011 English Publisher:Springer Science and Business Media LLCJournal:Optimization Letters, volume 6, pages 883-891 (issn: 1862-4472, eissn: 1862-4480, Copyright policy )
Authors: Schäfer, A.; Komusiewicz, C.; Moser, H.; Niedermeier, R.;

doi: 10.1007/s11590-011-0311-5

handle: 11858/00-001M-0000-000E-B76A-0 , 11858/00-001M-0000-0011-F31A-5

Parameterized computational complexity of finding small-diameter subgraphs

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Keywords

problem kernel, clique relaxation, branching algorithm, Parameterized complexity, tractability and kernelization, NP-hard problem, polynomial-time preprocessing, Programming involving graphs or networks, Abstract computational complexity for mathematical programming problems, \(s\)-club

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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!
50
Top 10%
Top 10%
Top 10%
bronze