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Journal of Computer and System Sciences
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Article . 1976 . Peer-reviewed
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Complexity measures for regular expressions

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 1974Publisher:ACM PressJournal:Proceedings of the sixth annual ACM symposium on Theory of computing - STOC '74
Authors: Andrzej Ehrenfeucht; Paul Zeiger;

doi: 10.1145/800119.803886 , 10.1016/s0022-0000(76)80034-7

Complexity measures for regular expressions

Abstract

Several measures of the complexity of a regular expression are defined. (Star height and number of alphabetical symbols are two of them.) Upper and lower estimates for the complexities of expressions for certain sets of paths on graphs are derived.

Related Organizations
Keywords

Computational Theory and Mathematics, Computer Networks and Communications, Analysis of algorithms and problem complexity, Applied Mathematics, Formal languages and automata, Algorithms in computer science, Theoretical Computer Science

  • BIP!
    Impact byBIP!
    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).
    		 85
    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.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 1%
    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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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!
85
Top 10%
Top 1%
Average
hybrid