Finite State Machine Optimization

Finite State Machine Optimization is a computational method that reduces the complexity of a finite state machine by minimizing the number of states or transitions while preserving its input-output behavior.

57

Publications

2K

Citations

120

Authors

72

Institutions

Publications per year

2017–2026

3

Variants

Fsm Optimization

Authors

120

  1. JR
    June-Kyung Rho

    University of Colorado Boulder, United States

    4 publications · 209 citations

    4

    h-index

  2. RK
    Robert K. Brayton

    University of California, Berkeley, United States

    4 publications · 144 citations

    4

    h-index

  3. FS
    Fabio Somenzi

    University of Colorado Boulder, United States

    4 publications · 249 citations

    4

    h-index

  4. GD
    Gary D. Hachtel

    University of Colorado Boulder, United States

    4 publications · 249 citations

    4

    h-index

  5. AA
    A.E.A. Almaini

    Edinburgh Napier University, United Kingdom

    3 publications · 133 citations

    3

    h-index

1–5 of 120

Venues

  1. 4

    h-index

  2. 4

    h-index

  3. IEEE Transactions on Computers

    3 publications · 164 citations

    3

    h-index

  4. 2

    h-index

  5. European Design Automation Conference

    Conference · 2 publications · 53 citations

    2

    h-index

1–5