Left is Better Than Right for Reducing Nondeterminism of NFAs

  • Ko, Sang-Ki
  • Han, Yo-Sub
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초록

We study the NFA reductions by invariant equivalences and preorders. It is well-known that the NFA minimization problem is PSPACE-complete. Therefore, there have been many approaches to reduce the size of NFAs in low polynomial time by computing invariant equivalence or preorder relation and merging the states within same equivalence class. Here we consider the nondeterminism reduction of NFAs by invariant equivalences and preorders. We, in particular, show that computing equivalence and preorder relation from the left is more useful than the right for reducing the degree of nondeterminism in NFAs. We also present experimental evidence for showing that NFA reduction from the left achieves the better reduction of nondeterminism than reduction from the right.

키워드

Nondeterministic finite automataregular expressionNFA reductioninvariant equivalencespreorderREGULAR EXPRESSIONSFINITE AUTOMATACOMPLEXITYALGORITHMS
제목
Left is Better Than Right for Reducing Nondeterminism of NFAs
저자
Ko, Sang-KiHan, Yo-Sub
DOI
10.1142/S0129054121410069
발행일
2021-08
유형
Article
저널명
International Journal of Foundations of Computer Science
32
05
페이지
531 ~ 550