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The inclusion problem for regular expressions

Authors: Hovland, Dag;

The inclusion problem for regular expressions

Abstract

AbstractThis paper presents a polynomial-time algorithm for the inclusion problem for a large class of regular expressions. The algorithm is not based on construction of finite automata, and can therefore be faster than the lower bound implied by the Myhill–Nerode theorem. The algorithm automatically discards irrelevant parts of the right-hand expression. The irrelevant parts of the right-hand expression might even be 1-ambiguous. For example, if r is a regular expression such that any DFA recognizing r is very large, the algorithm can still, in time independent of r, decide that the language of ab is included in that of (a+r)b. The algorithm is based on a syntax-directed inference system. It takes arbitrary regular expressions as input. If the 1-ambiguity of the right-hand expression becomes a problem, the algorithm will report this. Otherwise, it will decide the inclusion problem for the input.

Country
Norway
Related Organizations
Keywords

Inclusion, Computer Networks and Communications, Applied Mathematics, programmeringsspråk og -teori: 421, Regular expressions, 1-unambiguity, 004, Theoretical Computer Science, :Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Teoretisk databehandling, programmeringsspråk og -teori: 421 [VDP], Formal languages, VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Teoretisk databehandling, Computational Theory and Mathematics, VDP::420

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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!
17
Top 10%
Top 10%
Average
Green
hybrid