Book
On NFA Reductions
Abstract
We give faster algorithms for two methods of reducing the number of states in nondeterministic finite automata. The first uses equivalences and the second uses preorders. We develop restricted reduction algorithms that operate on position automata while preserving some of its properties. We show empirically that these reductions are effective in largely reducing the memory requirements of regular expression search algorithms, and compare the …
Authors
Ilie L; Navarro G; Yu S
Series
Lecture Notes in Computer Science
Volume
3113
Pagination
pp. 112-124
Publisher
Springer Nature
Publication Date
2004
DOI
10.1007/978-3-540-27812-2_11