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On Equivalence Checking of Nondeterministic Finite Automata

  • Chen Fu
  • Yuxin Deng
  • David N. Jansen
  • Lijun Zhang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10606)

Abstract

We provide a comparative study of some typical algorithms for language equivalence in nondeterministic finite automata and various combinations of optimization techniques. We find that their practical efficiency mostly depends on the density and the alphabet size of the automaton under consideration. Based on our experiments, we suggest to use HKC (Hopcroft and Karp’s algorithm up to congruence) [4] if the density is large and the alphabet is small; otherwise, we recommend the antichain algorithm (Wulf, Doyen, Henzinger, Raskin) [6]. Bisimulation equivalence and memoisation both pay off in general. When comparing highly structured automata over a large alphabet, one should use symbolic algorithms.

Notes

Acknowledgements

This work has been supported by the National Natural Science Foundation of China (Grants 61532019, 61472473, 61672229), the CAS/SAFEA International Partnership Program for Creative Research Teams, the Sino-German CDZ project CAP (GZ 1023) and Shanghai Municipal Natural Science Foundation (16ZR1409100).

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Chen Fu
    • 1
    • 3
  • Yuxin Deng
    • 2
  • David N. Jansen
    • 1
  • Lijun Zhang
    • 1
    • 3
  1. 1.State Key Laboratory of Computer ScienceInstitute of Software, Chinese Academy of SciencesBeijingChina
  2. 2.Shanghai Key Laboratory of Trustworthy ComputingEast China Normal UniversityShanghaiChina
  3. 3.University of Chinese Academy of SciencesBeijingChina

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