Space Complexity Classes

Space Complexity Classes is a classification of computational problems based on the amount of memory space required by a Turing machine to solve them, distinguished from other complexity classes by its focus on space resource constraints rather than time or other resources.

27

Publications

616

Citations

49

Authors

30

Institutions

Publications per year

2017–2026

0

Authors

49

  1. AL
    Alberto Leporati

    University of Milano-Bicocca, Italy

    2 publications · 53 citations

    2

    h-index

  2. CZ
    Claudio Zandron

    University of Milano-Bicocca, Italy

    2 publications · 53 citations

    2

    h-index

  3. GM
    Giancarlo Mauri

    University of Milano-Bicocca, Italy

    2 publications · 53 citations

    2

    h-index

  4. AE
    Antonio E. Porreca

    University of Milano-Bicocca, Italy

    2 publications · 53 citations

    2

    h-index

  5. JS
    Joel Seiferas

    University of Rochester, United States

    2 publications · 93 citations

    2

    h-index

1–5 of 49

Venues

  1. Theoretical Computer Science

    3 publications · 104 citations

    3

    h-index

  2. Journal of Computer and System Sciences

    3 publications · 127 citations

    3

    h-index

  3. 1

    h-index

  4. Conference on Learning Theory

    Conference · 1 publications · 12 citations

    1

    h-index

  5. ACM Transactions on Computational Logic

    TOCL · 1 publications · 13 citations

    1

    h-index

1–5