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Theoretical Computer Science
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Transition complexity of language operations

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Nov 2007 English Publisher:Elsevier BVJournal:Theoretical Computer Science, volume 387, pages 147-154 (issn: 0304-3975, Copyright policy )Funded by:NSERC | unidentified
Authors: Michael Domaratzki; Kai Salomaa;

doi: 10.1016/j.tcs.2007.07.034

Transition complexity of language operations

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Related Organizations
Keywords

transition complexity, Transition complexity, Descriptional complexity, Formal languages and automata, Regular languages, nondeterministic finite automata, regular languages, Theoretical Computer Science, Nondeterministic finite automata, descriptional complexity, Computer Science(all)

  • BIP!
    Impact byBIP!
    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).
    		 7
    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.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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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!
7
Average
Average
Average
hybrid