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Reducing NFAs by invariant equivalences
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Reducing NFAs by invariant equivalences

Abstract

We give new general methods for constructing small non-deterministic finite automata (NFA) from arbitrary ones. Given an NFA, we compute the largest right-invariant equivalence on the set of states and then merge the equivalent states to obtain a smaller automaton. When applying this method to position automata, we get a way to convert regular expressions into NFAs which are always smaller than or equal to the position, partial derivative, and …

Authors

Ilie L; Yu S

Volume

306

Pagination

pp. 373-390

Publisher

Elsevier

Publication Date

September 2003

DOI

10.1016/s0304-3975(03)00311-6

Conference proceedings

Theoretical Computer Science

Issue

1-3

ISSN

0304-3975